AAAI A*

4921 papers

YearTitle / Authors
2026"As Eastern Powers, I Will Veto.": An Investigation of Nation-Level Bias of Large Language Models in International Relations.
Jonghyeon Choi, Yeonjun Choi, Hyun-Chul Kim, Beakcheol Jang
2026"Debate Guru": Honing Public Speaking Skills Among Secondary School Students with AI Tutoring Systems.
Zachary Nadan, Nathan Goldberg, Roozbeh Aliabadi, Shuhan Li
2026'What Do Children Think About AI?': Insights and Educational Implications from Primary School Students' Perceptions of AI.
Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher
202610 Open Challenges Steering the Future of Vision-Language-Action Models.
Soujanya Poria, Navonil Majumder, Chia-Yu Hung, Amir Ali Bagherzadeh, Chuan Li, Kenneth Kwok, Ziwei Wang, Cheston Tan, Jiajun Wu, David Hsu
20262-ASP(Q) Solving Based on CEGAR.
Andrea Cuteri, Giuseppe Mazzotta, Francesco Ricca
20262D Gaussians Spatial Transport for Point-supervised Density Regression.
Miao Shang, Xiaopeng Hong
20262D-CrossScan Mamba: Enhancing State Space Models with Spatially Consistent Multi-Path 2D Information Propagation.
Longlong Yu, Wenxi Li, Yaoqi Sun, Hang Xu, Chenggang Yan, Yuchen Guo
2026360Explorer: Exploring 4D Controllable World in Panoramic Videos.
Xinhua Cheng, Haiyang Zhou, Wangbo Yu, Tanghui Jia, Bin Lin, Yunyang Ge, Weiqi Li, Li Yuan
20263D Gaussian Splatting for Reconstructing Large Sparse Environments (Student Abstract).
Jonathan Boel Nielsen, Xuan Huy Pham, Erdal Kayacan, Andriy Sarabakha
20263D-ANC: Adaptive Neural Collapse for Robust 3D Point Cloud Recognition.
Yuanmin Huang, Wenxuan Li, Mi Zhang, Xiaohan Zhang, Xiaoyu You, Min Yang
20263D-DRES: Detailed 3D Referring Expression Segmentation.
Qi Chen, Changli Wu, Jiayi Ji, Yiwei Ma, Liujuan Cao
20263D4D: An Interactive, Editable, 4D World Model via 3D Video Generation.
Yunhong He, Zhengqing Yuan, Zhengzhong Tu, Yanfang Ye, Lichao Sun
20263DAlign-DAER: Dynamic Attention Policy and Efficient Retrieval Strategy for Fine-grained 3D-Text Alignment at Scale.
Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Jian Wang, Keze Wang
20263DDM: Physically-based Anisotropic 3D Diffusion Model with 3D Gaussian for Point Cloud Completion.
Long Xi, Jia Ma, Zhenyu Yuan, Tao Xue, Wen Tang, Wen Lv
20263DTeethSAM: Taming SAM2 for 3D Teeth Segmentation.
Zhiguo Lu, Jianwen Lou, Mingjun Ma, Hairong Jin, Youyi Zheng, Kun Zhou
20263One2: One-Step Regression plus One-Step Diffusion for One-Hot Modulation in Dual-Path Video Snapshot Compressive Imaging.
Ge Wang, Xing Liu, Xin Yuan
20264D Point Cloud Segmentation via Active Test-Time Adaptation.
Mingrong Gong, Chaoqi Chen, Luyao Tang, Yuxi Wang, Sergio Escalera
20264D Scaffold Gaussian Splatting with Dynamic-Aware Anchor Growing for Efficient and High-Fidelity Dynamic Scene Reconstruction.
Woong Oh Cho, In Cho, Seoha Kim, Jeongmin Bae, Youngjung Uh, Seon Joo Kim
20264DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation.
Mengmeng Liu, Jiuming Liu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng
20266DAttack: Backdoor Attacks in the 6DoF Pose Estimation.
Jihui Guo, Zongmin Zhang, Zhen Sun, Yuhao Yang, Jinlin Wu, Fu Zhang, Xinlei He
2026A Benchmark Dataset for Spatially Aligned Road Damage Assessment in Small Uncrewed Aerial Systems Disaster Imagery.
Thomas Manzini, Priyankari Perali, Raisa Karnik, Robin R. Murphy
2026A Better Start: Sensitivity-Aware Warm-Up for Robust and Efficient Fine-Tuning.
Yile Chen, Zeyi Wen, Jian Chen, Jin Huang
2026A Boundary Token Graph for Zero-Shot Relation Triplet Extraction Involving Discontinuous Entities.
Kailun Lyu, Zehan Li, Fu Zhang, Jingwei Cheng
2026A Brain-Inspired Saliency Prediction Framework for Human-AI Cognitive Consistency in AIGC Content via Multi-Region Liquid Neurons.
Shibo Wang, Yan Zhao, Shigang Wang, Jian Wei, Shuo Li
2026A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm.
Junhyung Lyle Kim, Nai-Hui Chia, Anastasios Kyrillidis
2026A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination.
Ayan Majumdar, Deborah Dormah Kanubala, Kavya Gupta, Isabel Valera
2026A Causal Target for Learning to Defer Under Hidden Confounding.
Yanmin Li, Lihua Liu, Xin Wang, Zhilong Mao, Jibing Wu, Weidong Bao
2026A Closer Look at Knowledge Distillation in Spiking Neural Network Training.
Xu Liu, Na Xia, Jinxing Zhou, Jingyuan Xu, Dan Guo
2026A Compliant Robotic Leg Based on Fibre Jamming (Abstract Reprint).
Lois Liow, James Brett, Josh Pinskier, Lauren Hanson, Louis Tidswell, Navinda Kottege, David Howard
2026A Compress-Expand Framework for Automatic Lesson Plan Generation.
Shuyan Huang, Ying Zheng, Xiaoli Zeng, Zitao Liu
2026A Content-Preserving Secure Linguistic Steganography.
Lingyun Xiang, Chengfu Ou, Xu He, Zhongliang Yang, Yuling Liu
2026A Course Correction in Steerability Evaluation: Revealing Miscalibration and Side Effects in LLMs.
Trenton Chang, Tobias Schnabel, Adith Swaminathan, Jenna Wiens
2026A Data-Centric Analysis of the Impact of Training Data Quality vs. Quantity on P300 Brain-Computer Interface Performance (Student Abstract).
Arnav Gupta, Albert Liu, Eliza Haines, Riyadh Alghamdi, Aniketh S. Kota, Leslie M. Collins, Boyla O. Mainsah
2026A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale.
Mayank Kejriwal
2026A Dialogue-Based Learning Analytics Framework for Collaborative Game-Based Learning.
Yeo Jin Kim, Daeun Hong, Tianshu Wang, Wookhee Min, Snigdha Chaturvedi, Cindy E. Hmelo-Silver, James C. Lester
2026A Differential Perspective on Distributional Reinforcement Learning.
Juan Sebastian Rojas, Chi-Guhn Lee
2026A Disease-Aware Dual-Stage Framework for Chest X-ray Report Generation.
Puzhen Wu, Hexin Dong, Yi Lin, Yihao Ding, Yifan Peng
2026A Domain-specific Heuristic for PDDL+-based Traffic Signal Optimisation.
Francesco Doria, Francesco Percassi, Marco Maratea, Mauro Vallati
2026A Fast Heuristic Search Approach for Energy-Optimal Profile Routing for Electric Vehicles.
Saman Ahmadi, Mahdi Jalili
2026A Flat Minima Perspective on Understanding Augmentations and Model Robustness.
Weebum Yoo, Sung Whan Yoon
2026A Fortiori Case-Based Reasoning: From Theory to Data (Abstract Reprint).
Wijnand van Woerkom, Davide Grossi, Henry Prakken, Bart Verheij
2026A Foundation Model for Brain MRI with Dynamic Modality Integration (Student Abstract).
Minh Sao Khue Luu, Bair Tuchinov
2026A Framework for Belief-based Programs and Their Verification (Abstract Reprint).
Daxin Liu, Gerhard Lakemeyer
2026A GPU-based Constraint Programming Solver.
Pierre Talbot
2026A General Anchor-Based Framework for Scalable Fair Clustering.
Shengfei Wei, Suyuan Liu, Jun Wang, Ke Liang, Miaomiao Li, Lei Luo
2026A General Highly Accurate Online Planning Method Integrating Large Language Models into Nested Rollout Policy Adaptation for Dialogue Tasks.
Hui Wang, Fafa Zhang, Xiaoyu Zhang, Chaoxu Mu
2026A Geometric Perspective on Optimizing Vector Quantized Latent Diffusion Model for Image Restoration.
Chen Hang, Haoming Chen, Xuwei Fang, Weisheng Xie, Xiangxiang Gao, Faming Fang, Guixu Zhang, Haichuan Song
2026A Graph-Theoretical Perspective on Law Design for Multiagent Systems.
Qi Shi, Pavel Naumov
2026A Guardrail Framework for Sensitive Financial Information Protection: A Taxonomy-Driven Approach.
Mehdi Yekrangi, Houssem Chatbri, Claudia Beatrice Chianella, Owen O'Neill
2026A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage.
Yajie Yang, Yuqing Zhao, Xiaochao Xi, Yinan Zhu
2026A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics.
Haoan Jin, Han Ying, Jiacheng Ji, Hanhui Xu, Mengyue Wu
2026A Hybrid Space Model for Misaligned Multi-modality Image Fusion.
Yi Xiao, Jia Wang, Zhu Liu, Di Wang, Jinyuan Liu, Risheng Liu
2026A Knowledge Compilation Map for Quantum Information.
Lieuwe Vinkhuijzen, Tim Coopmans, Alfons Laarman
2026A Lightweight Safety Helmet Compliance Detection via Multimodal Fusion (Student Abstract).
Jeong Hwan Ryu, Azimjon Akhtamov, Md Azher Uddin, Aziz Nasridinov
2026A Logical Analysis of an Information Filtering Architecture Based on Epistemic Trust Inference.
Xu Li, Leendert van der Torre, Liuwen Yu
2026A Metacognitive Architecture for Correcting LLM Errors in AI Agents.
Jisu Kim, Mahimul Islam, Ashok K. Goel
2026A More Efficient Reduction from Outlier-Aware to Outlier-Free k-Median.
Zheng Zhang, Han Peng, Limei Liu, Junyu Huang, Xiaolong Li, Qilong Feng
2026A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses.
Xiangxiang Dai, Yuejin Xie, Maoli Liu, Xuchuang Wang, Zhuohua Li, Huanyu Wang, John C. S. Lui
2026A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis.
Wenxuan Mu, Jinzhong Ning, Di Zhao, Yijia Zhang
2026A Multi-Objective Optimization Framework for Adaptive Weighting in Physics-Informed Machine Learning.
Guoquan Wu, Zhe Wu
2026A Multimodal EEG-Eye Movement Model for Automatic Depression Detection.
Hao-Long Yin, Jian-Ming Zhang, Ren-Jie Dai, Wei-Long Zheng, Qinyu Lv, Zhenghui Yi, Bao-Liang Lu
2026A Natural-Gradient Approach for Nonlinear Stochastic Systems with Parameter Uncertainty.
Liang Cao
2026A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation.
Shanshan Qin, Joshua Pughe-Sanford, Alexander Genkin, Pembe Gizem Özdil, Philip Greengard, Anirvan M. Sengupta, Dmitri B. Chklovskii
2026A Novel Approach to Evaluating Evaluation Metrics for Multi-Output Structured Prediction.
Akshay Vyas, Angelo Pimienta, Nicholas Ruozzi
2026A Novel Fine-Tuned CLIP-OOD Detection Method with Double Loss Constraint Through Optimal Transport Semantic Alignment.
Hengyang Lu, Xin Guo, Shuai Feng, Wenyu Jiang, Yuntao Du, Chang Xia, Chenyou Fan
2026A Novel Retrieve-Read-Group Paradigm for Open Knowledge Base Canonicalization.
Binhan Yang, Wei Shen, Han Tian
2026A Novel Sliced Fused Gromov-Wasserstein Distance.
Moritz Piening, Robert Beinert
2026A Paradigm Shift in High-Resolution Depth Estimation Using SPAD-Based LiDAR Histograms: From Signal Filtering to Lightweight Similarity Learning.
Minsung Lee, Seo Hyun Kim, Yeonsu Park, Hyeongseok Seo, Jongmin Lee
2026A Parallel CPU-GPU Framework for Batching Heuristic Operations in Depth-First Heuristic Search.
Ehsan Futuhi, Nathan R. Sturtevant
2026A Phase Transition for Opinion Dynamics with Competing Biases.
Federico Capannoli, Emilio Cruciani, Hlafo Alfie Mimun, Matteo Quattropani
2026A Principle-Driven Adaptive Policy for Group Cognitive Stimulation Dialogue for Elderly with Cognitive Impairment.
Jiyue Jiang, Yanyu Chen, Pengan Chen, Kai Liu, Jingqi Zhou, Zheyong Zhu, He Hu, Fei Ma, Qi Tian, Chuan Wu
2026A Pseudo-Label Optimization Method Based on Polar Coordinate Modeling and Prior Constraints.
Yudi Wang, Hailan Shen, Yixiao Fu, Yuqi Li, Zeshi Lu, Zailiang Chen
2026A Reasoning Paradigm for Named Entity Recognition.
Hui Huang, Yanping Chen, Ruizhang Huang, Chuan Lin, Yongbin Qin
2026A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction.
Weilin Ruan, Xilin Dang, Ziyu Zhou, Sisuo Lyu, Yuxuan Liang
2026A Robust Unlearning Method with Adaptive Knowledge Guidance and Memory Preservation.
Jingyuan Tian, Xiaofei Zhou
2026A Rolling Stone Gathers No Moss: Adaptive Policy Optimization for Stable Self-Evaluation in Large Multimodal Models.
Wenkai Wang, Hongcan Guo, Zheqi Lv, Shengyu Zhang
2026A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds.
Ya Liu, Junbin Liu, Wing-Kin Ma, Aritra Konar
2026A Selective Under-Sampling (SUS) Method for Imbalanced Regression (Abstract Reprint).
Jovana Aleksic, Miguel García-Remesal
2026A Simple Proof-Theoretic Characterization of Stable Models: Reduction to Difference Logic and Experiments (Abstract Reprint).
Martin Gebser, Enrico Giunchiglia, Marco Maratea, Marco Mochi
2026A Solution Space Transformation-Guided Co-Evolution for Energy-Saving Distributed Heterogeneous Flexible Job Shop Scheduling.
Tao Li, Xingchen Li, Haoyue Ma, Zhihui Zhang
2026A Solver-in-the-Loop Framework for Improving LLMs on Answer Set Programming for Logic Puzzle Solving.
Timo Pierre Schrader, Lukas Lange, Tobias Kaminski, Simon Razniewski, Annemarie Friedrich
2026A Stage-Aware Mixture of Experts Framework for Neurodegenerative Disease Progression Modelling.
Tiantian He, Keyue Jiang, An Zhao, Anna Schroder, Elinor Thompson, Sonja Soskic, Frederik Barkhof, Daniel C. Alexander
2026A Study of Finetuning Video Transformers for Multi-view Geometry Tasks.
Huimin Wu, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu
2026A Switching Framework for Online Interval Scheduling with Predictions.
Antonios Antoniadis, Ali Shahheidar, Golnoosh Shahkarami, Abolfazl Soltani
2026A TSP-Based Algorithm for Multi-League Traveling Tournament.
Jingyang Zhao, Mingyu Xiao, Ken-ichi Kawarabayashi
2026A Tale of Two Identities: An Ethical Audit of AI-Crafted Synthetic Personas.
Pranav Narayanan Venkit, Jiayi Li, Yingfan Zhou, Sarah Rajtmajer, Shomir Wilson
2026A Text-Routed Sparse Mixture-of-Experts Model with Explanation and Temporal Alignment for Multi-Modal Sentiment Analysis.
Dongning Rao, Yunbiao Zeng, Zhihua Jiang, Jujian Lv
2026A Theoretical Analysis of Detecting Large Model-Generated Time Series.
Junji Hou, Junzhou Zhao, Shuo Zhang, Pinghui Wang
2026A Theoretical Model for Grit in Pursuing Ambitious Ends.
Avrim Blum, Emily Diana, Kavya Ravichandran, Alexander Williams Tolbert
2026A Theory of Adaptive Scaffolding for LLM-Based Pedagogical Agents.
Clayton Cohn, Surya Rayala, Namrata Srivastava, Joyce Horn Fonteles, Shruti Jain, Xinying Luo, Divya Mereddy, Naveeduddin Mohammed, Gautam Biswas
2026A Theory-Inspired Framework for Few-Shot Cross-Modal Sketch Person Re-Identification.
Yunpeng Gong, Yongjie Hou, Jiangming Shi, Kim Long Diep, Min Jiang
2026A Topological Rewriting of Tarski's Mereogeometry.
Richard Dapoigny
2026A Unified Convergence Analysis for Semi-Decentralized Learning: Sampled-to-Sampled vs. Sampled-to-All Communication.
Angelo Rodio, Giovanni Neglia, Zheng Chen, Erik G. Larsson
2026A Unified Geospatial Clustering Framework to Identify Varying Density Clusters in E-Commerce Logistics.
Arpit Tiwari, Bhavuk Singhal, Anshu Aditya, Aryan Tiwari, Shubham Jain, Debashis Mukherjee, Debdoot Mukherjee
2026A Unified Self-Regulating Training Framework for Federated Deep Reinforcement Learning.
Meng Xu, Xinhong Chen, Zhongying Chen, Guanyi Zhao, Yang Jin, Jianping Wang
2026A Unified Shape-Aware Foundation Model for Time Series Classification.
Zhen Liu, Yucheng Wang, Boyuan Li, Junhao Zheng, Emadeldeen Eldele, Min Wu, Qianli Ma
2026A Visualized Framework for Event Cooperation with Generative Agents.
Yuyang Tian, Shunqiang Mao, Wenchang Gao, Lanlan Qiu, Tianxing He
2026A-FloPS: Accelerating Diffusion Models via Adaptive Flow Path Sampler.
Cheng Jin, Zhenyu Xiao, Yuantao Gu
2026A3D: Adaptive Affordance Assembly with Dual-Arm Manipulation.
Jiaqi Liang, Yue Chen, Qize Yu, Yan Shen, Haipeng Zhang, Hao Dong, Ruihai Wu
2026ACID Test: A Benchmark for Cultural Safety and Alignment in LALMs.
Bikash Dutta, Adit Jain, Rishabh Ranjan, Mayank Vatsa, Richa Singh
2026ACID-Style: An Adaptive Condition Injection Diffusion Model for Arbitrary Style Transfer.
Ting Yang, Siyu Yang, Xiyao Liu, Songtao Wu, Gerald Schaefer, Kuanhong Xu, Hui Fang
2026AD-FM: Multimodal LLMs for Anomaly Detection via Multi-Stage Reasoning and Fine-Grained Reward Optimization.
Jingyi Liao, Yongyi Su, Rong-Cheng Tu, Zhao Jin, Wenhao Sun, Yiting Li, Xun Xu, Dacheng Tao, XuLei Yang
2026ADAPT: Adaptive Decentralized Architecture with Perception-Aligned Training for Structural Generalization in Multi-Agent RL.
Zhixiang Zhang, Shuo Chen, Yexin Li, Feng Wang
2026AEDR: Training-Free AI-Generated Image Attribution via Autoencoder Double-Reconstruction.
Chao Wang, Zijin Yang, Yaofei Wang, Weiming Zhang, Kejiang Chen
2026AEFGL: Reverse Auction and Value Evaluation-Based Federated Graph Learning Incentive Mechanism (Student Abstract).
Xin Chang, Lixin Liu, Jingyu Wang, Jinling Yu, Xiaolin Zhang
2026AEGIS: Toward Expert-in-the-loop Industrial Anomaly Detection.
Dongmin Kim, Ye Seul Sim, Suhee Yoon, Sanghyu Yoon, Seungdong Yoa, Soonyoung Lee, Woohyung Lim
2026AHAMask: Reliable Task Specification for Large Audio Language Models Without Instructions.
Yiwei Guo, Bohan Li, Hankun Wang, Zhihan Li, Shuai Wang, Xie Chen, Kai Yu
2026AHAN: Asymmetric Hierarchical Attention Network for Identical Twin Face Verification.
Hoang-Nhat Nguyen
2026AI Education Across the Curriculum: Design and Pilot Study of a Cross-Disciplinary Module Set.
Jie Chao, Rebecca Ellis, Shiyan Jiang, Daria Smyslova, Qiuqing Li, Amato Nocera, Christy Byrd, Zhen Wu, Carolyn P. Rosé, Stephen Callahan, Dianne O'Grady-Cunniff
2026AI Scholars Program: Scaling AI Literacy Through K-12 Outreach.
Xiaoyi Tian, Yasitha Rajapaksha, Ally Limke, Clara DiMarco, Emily Bryans Dobar, Marnie Hill, Jamie Payton, Tiffany Barnes
2026AI Unplugged: Embodied Interactions for AI Literacy in Higher Education.
Jennifer M. Reddig, Scott Moon, Kaitlyn Crutcher, Christopher J. MacLellan
2026AI for Memory Preservation: Automated Restoration of Photographs Damaged by Floods.
Jose Daniel Galvan Suazo, Hugo Albert Bonet, Carlos Monserrat Aranda, Cèsar Ferri
2026AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data.
Xianglu Tang, Joyee W. Jin, Emily Ma, Xingyu Li
2026AI-Driven Marine Robotics: Emerging Trends in Underwater Perception and Ecosystem Monitoring.
Scarlett Raine, Tobias Fischer
2026AI-Driven Real-Time Acoustic Modelling for Better Audio Perception in Dynamic Environments.
James Blossom Eleojo
2026AI-Salesman: Towards Reliable Large Language Model Driven Telemarketing.
Qingyu Zhang, Chunlei Xin, Xuanang Chen, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Qing Ye, Qianlong Xie, Xingxing Wang
2026AIM: Manifold-based Data Filtering for Representation Finetuning.
Qing Li, Qibin Zheng, Yi Liu, Xingchun Diao
2026AIR-DR: Adaptive Image Retargeting with Instance Relocation and Dual-guidance Repainting.
Zhitong Dong, Chao Li, Yongjian Deng, Hao Chen
2026ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection.
Liangyi Kang, Wei Hua, Yan Yang, Jie Liu, Dan Ye
2026ALEX: A Light Editing-knowledge Extractor.
Minghu Wang, Shuliang Zhao, Yuanyuan Zhao, Hongxia Xu
2026ALPHA: Action-Based Learning for Pluralistic Human Alignment in Large Language Models.
Aanisha Bhattacharyya, Susmit Agrawal, Yaman Kumar Singla, Tarun Ram Menta, Nikitha S. R., Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy
2026ALTER: Asymmetric LoRA for Token-Entropy-Guided Unlearning of LLMs.
Xunlei Chen, Jinyu Guo, Yuang Li, Zhaokun Wang, Yi Gong, Jie Zou, Jiwei Wei, Wenhong Tian
2026AMS-IO-Bench and AMS-IO-Agent: Benchmarking and Structured Reasoning for Analog and Mixed-Signal Integrated Circuit Input/Output Design.
Zhishuai Zhang, Xintian Li, Shilong Liu, Aodong Zhang, Lu Jie, Nan Sun
2026AMS-KV: Adaptive KV Caching in Multi-Scale Visual Autoregressive Transformers.
Boxun Xu, Yu Wang, Zihu Wang, Peng Li
2026AMaPO: Adaptive Margin-attached Preference Optimization for Language Model Alignment.
Ruibo Deng, Duanyu Feng, Wenqiang Lei
2026AP2O-Coder: Adaptively Progressive Preference Optimization for Reducing Compilation and Runtime Errors in LLM-Generated Code.
Jianqing Zhang, Wei Xia, Hande Dong, Qiang Lin, Jian Cao
2026APEX-Q: Arbitrary-dimension Product-EXtension Quantization for Accelerated LLM Deployment (Student Abstract).
Yian Wang, Ye Qiao, Sitao Huang, Hyoukjun Kwon
2026APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift.
Yujie Li, Zezhi Shao, Chengqing Yu, Yisong Fu, Tao Sun, Yongjun Xu, Fei Wang
2026APVR: Hour-Level Long Video Understanding with Adaptive Pivot Visual Information Retrieval.
Hong Gao, Yiming Bao, Xuezhen Tu, Bin Zhong, Linan Yue, Min-Ling Zhang
2026AR-Nav Benchmark: Augmented Reality Navigation with Vision and Language.
Liqi Yan, Yihao Wu, Chenyi Xu, Chao Yang, Jianhui Zhang, Pan Li
2026ARBench: Algorithmic Reasoner or API Alchemist? Evaluating LLMs Beyond API Calls.
Renbiao Liu, Chao-Zeng Ma, Anqi Li, Hui Sun, Xin-Ye Li, Ming Li
2026ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction.
Pengze Li, Jiaqi Liu, Junchi Yu, Lihao Liu, Mingyu Ding, Wanli Ouyang, Shixiang Tang, Xi Chen
2026ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning.
Yong Chen, Li Li, Nannan Zong, Zhihui Liu, Song-Zhi Su
2026ARGH-Mark: Anchor-Synchronized Watermarking with Hamming Correction for Robust and Quality-Preserving LLM Attribution.
He Li, Xiaojun Chen, Jingcheng He, Zhendong Zhao, Shuguang Yuan, Xin Zhao, Yunfei Yang
2026ARGUS: Towards End-to-End Argument Mining with Large Language Models.
Ettore Caputo, Sergio Greco, Lucio La Cava
2026ARIW-Framework: Adaptive Robust Iterative Watermarking Framework.
Shaowu Wu, Liting Zeng, Wei Lu
2026ARNS: Adaptive Relation-Aware Negative Sampling with Curriculum Learning for Inductive Knowledge Graph Completion.
Ling Ding, Zhizhi Yu, Di Jin, Lei Huang
2026ARQUSUMM: Argument-aware Quantitative Summarization of Online Conversations.
An Quang Tang, Xiuzhen Zhang, Minh Ngoc Dinh, Zhuang Li
2026ARTEM: Enhancing Large Language Model Agents with Spatial-Temporal Episodic Memory.
Cassandra Hui-Ming Tan, Budhitama Subagdja, Ah-Hwee Tan
2026ASCD: Attention-Steerable Contrastive Decoding for Reducing Hallucination in MLLM.
Yujun Wang, Aniri, Jinhe Bi, Sören Pirk, Yunpu Ma
2026ASKD: Reinforcement Learning-Style Knowledge Distillation with Quality-Adaptive Skewness.
Mingjie Zhang, Xiaoling Zhou, Yuxiao Luo, Yiyu Liu, Shikun Zhang, Wei Ye
2026ASSIST-3D: Adapted Scene Synthesis for Class-Agnostic 3D Instance Segmentation.
Shengchao Zhou, Jiehong Lin, Jiahui Liu, Shizhen Zhao, Chirui Chang, Xiaojuan Qi
2026AStar: Boosting Multimodal Reasoning with Automated Structured Thinking.
Jinyang Wu, Mingkuan Feng, Guocheng Zhai, Shuai Zhang, Zheng Lian, Fangrui Lv, Pengpeng Shao, Ruihan Jin, Zhengqi Wen, Jianhua Tao
2026AT-Field: Rethinking the Games in Adversarial Training.
Yixiao Xu, Mohan Li, Zhijie Shen, Yuan Liu, Zhihong Tian
2026AURA: Affordance-Understanding and Risk-aware Alignment Technique for Large Language Models.
Sayantan Adak, Pratyush Chatterjee, Somnath Banerjee, Rima Hazra, Somak Aditya, Animesh Mukherjee
2026AURA: Development and Validation of an Augmented Unplanned Removal Alert System Using Synthetic ICU Videos.
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung, Namkee Oh, Taerim Kim
2026AURORA: Augmented Understanding via Structured Reasoning and Reinforcement Learning for Reference Audio-Visual Segmentation.
Ziyang Luo, Nian Liu, Fahad Shahbaz Khan, Junwei Han
2026AUVIC: Adversarial Unlearning of Visual Concepts for Multi-modal Large Language Models.
Haokun Chen, Jianing Li, Yao Zhang, Jinhe Bi, Yan Xia, Jindong Gu, Volker Tresp
2026AV-Edit: Multimodal Generative Sound Effect Editing via Audio-Visual Semantic Joint Control.
Xinyue Guo, Xiaoran Yang, Lipan Zhang, Jianxuan Yang, Zhao Wang, Jian Luan
2026AV-SSAN: Audio-Visual Selective DOA Estimation Through Explicit Multi-Band Semantic-Spatial Alignment.
Yu Chen, Hongxu Zhu, Jiadong Wang, Kainan Chen, Xinyuan Qian
2026AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals.
Qi Xu, Shuai Gong, Xuming Ran, Haihua Luo, Yangfan Hu
2026AXON: Action Characterization Through Cross-Modal Knowledge Distillation for Neurodiverse Individuals.
Siddhant Bikram Shah, Kristina T. Johnson
2026AbductiveMLLM: Boosting Visual Abductive Reasoning Within MLLMs.
Boyu Chang, Qi Wang, Xi Guo, Zhixiong Nan, Yazhou Yao, Tianfei Zhou
2026AccKV: Towards Efficient Audio-Video LLMs Inference via Adaptive-Focusing and Cross-Calibration KV Cache Optimization.
Zhonghua Jiang, Kui Chen, Kunxi Li, Keting Yin, Yiyun Zhou, Zhaode Wang, Chengfei Lv, Shengyu Zhang
2026Accelerating Controllable Generation via Hybrid-grained Cache.
Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao
2026Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching.
Yanhao Dong, Yubo Miao, Weinan Li, Xiao Zheng, Chao Wang, Jiesheng Wu, Feng Lyu
2026Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Robust Response Generation in the Wild.
Jiatai Wang, Zhiwei Xu, Di Jin, Xuewen Yang, Tao Li
2026Achieving Equilibrium Under Utility Heterogeneity: An Agent-Attention Framework for Multi-Agent Multi-Objective Reinforcement Learning.
Zhuhui Li, Chunbo Luo, Liming Huang, Luyu Qi, Geyong Min
2026Achieving Fairness Without Harm via Selective Demographic Experts.
Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham, Ping Zhang, Xueru Zhang
2026AcoustoReinforce: Multi-Particle Acoustophoretic Path Planning with Deep Reinforcement Learning.
Pengyuan Wei, Giorgos Christopoulos, Zhouyang Shen, Jincheng Wang, Joshua Mukherjee, Ryuji Hirayama, Sriram Subramanian, Prateek Mittal
2026ActiShade: Activating Overshadowed Knowledge to Guide Multi-Hop Reasoning in Large Language Models.
Huipeng Ma, Luan Zhang, Dandan Song, Linmei Hu, Yuhang Tian, Jun Yang, Changzhi Zhou, Chenhao Li, Yizhou Jin, Xudong Li, Meng Lin, Mingxing Zhang, Shuhao Zhang
2026Action-and-object Aware Alignment for Partially Relevant Video Retrieval.
Chuanshen Chen, Kai Zhou, Zhiquan Wen, Zeng You, Yirui Li, Tianhang Xiang, Mingkui Tan
2026Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs.
Jiaao Yu, Shenwei Li, Mingjie Han, Yifei Yin, Wenzheng Song, Chenghao Jia, Man Lan
2026Activation Manipulation Attack: Penetrating and Harmful Jailbreak Attack Against Large Vision-Language Models.
Haojie Hao, Jiakai Wang, Aishan Liu, Yuqing Ma, Haotong Qin, Yuanfang Guo, Xianglong Liu
2026Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks.
Jian Song, Xiangfei Yang, Shangke Lyu, Donglin Wang
2026Activations as Features: Probing LLMs for Generalizable Essay Scoring Representations.
Jinwei Chi, Ke Wang, Yu Chen, Xuanye Lin, Qiang Xu
2026Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling.
Depanshu Sani, Mehar Khurana, Saket Anand
2026Active Learning of Symbolic Automata over Rational Numbers.
Sebastián Hagedorn Gaete, Martin Muñoz, Cristian Riveros, Rodrigo Toro Icarte
2026Active Multi-source Domain Adaptation for Multimodal Fake News Detection.
Yanping Chen, Weijie Shi, Mengze Li, Yue Cui, Jiaming Li, Ruiyuan Zhang, Hao Chen, Hanghui Guo, Shimin Di, Ziyi Liu, Jia Zhu, Jiajie Xu
2026Active3D: Active High-Fidelity 3D Reconstruction via Multi-Level Uncertainty Quantification.
Yan Li, Yingzhao Li, Gim Hee Lee
2026Actor-Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long-Horizon Robotic Manipulation with Sparse Reward.
Jiarui Yang, Bin Zhu, Jingjing Chen, Yu-Gang Jiang
2026AdaCuRL: Adaptive Curriculum Reinforcement Learning with Invalid Sample Mitigation and Historical Revisiting.
Renda Li, Hailang Huang, Fei Wei, Feng Xiong, Yong Wang, Xiangxiang Chu
2026AdaDepth: Exploiting Inherent Scene Information for Self-Supervised Depth Estimation in Dynamic Scenes.
Xuanang Gao, Xiongbin Wu, Zhiwei Ning, Runze Yang, Zhonglong Zheng, Jie Yang, Wei Liu
2026AdaField: Generalizable Surface Pressure Modeling with Physics-Informed Pre-training and Flow-Conditioned Adaptation.
Junhong Zou, Wei Qiu, Zhenxu Sun, Xiaomei Zhang, Zhaoxiang Zhang, Xiangyu Zhu
2026AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization.
Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin
2026AdaMCoT: Rethinking Cross-Lingual Factual Reasoning Through Adaptive Multilingual Chain-of-Thought.
Weihua Zheng, Xin Huang, Zhengyuan Liu, Tarun Kumar Vangani, Bowei Zou, Xiyan Tao, Yuhao Wu, AiTi Aw, Nancy F. Chen, Roy Ka-Wei Lee
2026AdaReason: Progressive Training of Multi-LoRA Adapters for Budget-Adaptive Language Reasoning Models.
Jiacheng Wang, Tianle Chen, Pengyu Cheng, Xiaofeng Hou, Jiacheng Liu
2026AdaSpec: Adaptive Multilingual Speculative Decoding with Self-Synthesized Language-Aware Training and Vocabulary Simplification.
Dinh-Truong Do, Nguyen-Khang Le, Le-Minh Nguyen
2026Adapt Before Continual Learning.
Aojun Lu, Tao Feng, Hangjie Yuan, Chunhui Ding, Yanan Sun
2026Adapt-As-You-Walk Through the Clouds: Training-Free Online Test-Time Adaptation of 3D Vision-Language Foundation Models.
Mehran Tamjidi, Hamidreza Dastmalchi, Mohammadreza Alimoradijazi, Ali Cheraghian, Aijun An, Morteza Saberi
2026AdaptCLIP: Adapting CLIP for Universal Visual Anomaly Detection.
Bin-Bin Gao, Yue Zhou, Jiangtao Yan, Yuezhi Cai, Weixi Zhang, Meng Wang, Jun Liu, Yong Liu, Lei Wang, Chengjie Wang
2026AdaptDiff: Adaptive Guidance in Diffusion Models for Diverse and Identity-Consistent Face Synthesis (Student Abstract).
Eduarda Caldeira, Tahar Chettaoui, Naser Damer, Fadi Boutros
2026AdaptJobRec: Enhancing Conversational Career Recommendation Through an LLM-Powered Agentic System.
Qixin Wang, Dawei Wang, Kun Chen, Yaowei Hu, Puneet Girdhar, Ruoteng Wang, Aadesh Gupta, Chaitanya Devella, Wenlai Guo, Shangwen Huang, Bachir Aoun, Greg Hayworth, Han Li, Xintao Wu
2026Adapting Hybrid Parallel-Head Large Language Models for Southeast Asia.
Kin Meng Ng
2026Adaptive AI for Personalized Intercultural Communication Education: A Conversational Agent Powered by Retrieval-Augmented Generation (Student Abstract).
Mohamed Ahmed, Hyesun Choung
2026Adaptive Agent Selection and Interaction Network for Image-to-Point Cloud Registration.
Zhixin Cheng, Xiaotian Yin, Jiacheng Deng, Bohao Liao, Yujia Chen, Xu Zhou, Baoqun Yin, Tianzhu Zhang
2026Adaptive Compute Efficient Learning via Conceptual-Criticality (Student Abstract).
Iñigo Parra, Mano Bharathi M., Mayank Kumar, Pushpa Kumar Balan, Priyadarsi Mishra
2026Adaptive Coopetition: Leveraging Coarse Verifier Signals for Resilient Multi-Agent LLM Reasoning (Student Abstract).
Rui Jerry Huang, Anastasia Miin, Wendy Liu
2026Adaptive Coreset Selection via Uncertainty-Density for Efficient Spam Detection (Student Abstract).
Aisha Hassan, Tushar Shinde
2026Adaptive Diffusion-based Augmentation for Recommendation.
Na Li, Fanghui Sun, Yan Zou, Yangfu Zhu, Xiatian Zhu, Ying Ma
2026Adaptive Dynamic Dehazing via Instruction-Driven and Task-Feedback Closed-Loop Optimization for Diverse Downstream Task Adaptation.
Yafei Zhang, Shuaitian Song, Huafeng Li, Shujuan Wang, Yu Liu
2026Adaptive Evidential Learning for Temporal-Semantic Robustness in Moment Retrieval.
Haojian Huang, Kaijing Ma, Jin Chen, Haodong Chen, Zhou Wu, Xianghao Zang, Han Fang, Chao Ban, Hao Sun, Mulin Chen, Zhongjiang He
2026Adaptive Evolutionary Fusion for Multi-View Clustering.
Yunxiao Zhao, Liang Bai, Xian Yang
2026Adaptive Fidelity Estimation for Quantum Programs with Graph-Guided Noise Awareness.
Tingting Li, Ziming Zhao, Jianwei Yin
2026Adaptive Frequency Pathways for Spatiotemporal Forecasting.
Yanjun Qin, Yuchen Fang, Xinke Jiang, Hao Miao, Xiaoming Tao
2026Adaptive Graph Attention Based Discrete Hashing for Incomplete Cross-modal Retrieval.
Shuang Zhang, Yue Wu, Lei Shi, Huilong Jin, Feifei Kou, Pengfei Zhang, Mingying Xu, Pengtao Lv
2026Adaptive Hallucination Alleviation in Multimodal Large Language Models: From Strategic Data Selection to Severity-Guided Training.
Yuanyi Xu, Xiangru Zhu, Sihang Jiang, Zhixu Li, Bei Yang, Xiaoxiao Xu, Yanghua Xiao, Wei Wang
2026Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces.
Leping Si, Meimei Yang, Hui Xue, Shipeng Zhu, Pengfei Fang
2026Adaptive Initial Residual Connections for GNNs with Theoretical Guarantees.
Mohammad Shirzadi, Ali Safarpoor-Dehkordi, Ahad N. Zehmakan
2026Adaptive KL Control for Direct Preference Optimization in Instruction-Following LLMs.
Yi Khuen Chai
2026Adaptive LiDAR Scanning: Harnessing Temporal Cues for Efficient 3D Object Detection via Multi-Modal Fusion.
Sara Shoouri, Morteza Tavakoli Taba, Hun-Seok Kim
2026Adaptive Momentum and EMA-weighted Modeling for Imbalanced Label Distribution Learning.
Yongbiao Gao, Xiangcheng Sun, Chao Tan, Chunyu Hu, Guohua Lv
2026Adaptive Morph-Patch Transformer for Aortic Vessel Segmentation.
Zhenxi Zhang, Fuchen Zheng, Adnan Iltaf, Yifei Han, Zhenyu Chen, Yue Du, Bin Li, Tianyong Liu, Shoujun Zhou
2026Adaptive Piecewise Distillation for Efficient LiDAR Data Generation.
Ruibo Li, Xiaofeng Yang, Ze Yang, Jiacheng Wei, Chunyan Miao, Guosheng Lin
2026Adaptive Regulation via Dual-Layer Evolution (ARDE): A Multi-Agent Approach to Balancing Efficiency, Fairness, and Diversity in Crowdsourced Platforms.
Xuwen Zhang, Xiao Xue, Xia Xie, Qun Ma
2026Adaptive Riemannian Graph Neural Networks.
Xudong Wang, Chris Ding, Tongxin Li, Jicong Fan
2026Adaptive Theory of Mind for LLM-based Multi-Agent Coordination.
Chunjiang Mu, Ya Zeng, Qiaosheng Zhang, Kun Shao, Chen Chu, Hao Guo, Danyang Jia, Zhen Wang, Shuyue Hu
2026Adaptive and Asymptotic Mean-based Subclass Discriminant Analysis.
Yuzhe Feng, Yunlong Gao, Feiping Nie
2026Adaptive and Context-rich Generative Self-supervised Learning on Graphs.
Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026Adaptive-Learngene: Continual Expansion and Task-Aware Selection of Learngenes for Dynamic Environments.
Shuxia Lin, Qiufeng Wang, Chang Liu, Xu Yang, Xin Geng
2026Adaptive-Smooth LiDAR-Camera Knowledge Distillation with Heterogeneous Fusion for Multi-View 3D Object Detection.
Rui Zhao, Shuoyao Wang, Xinhu Zheng, Shijian Gao
2026Addressing Polarization and Unfairness in Performative Prediction.
Kun Jin, Tian Xie, Yang Liu, Xueru Zhang
2026AdvBDGen: A Robust Framework for Generating Adaptive and Stealthy Backdoors in LLM Alignment.
Pankayaraj Pathmanathan, Udari Madhushani Sehwag, Michael-Andrei Panaitescu-Liess, Cho-Yu Jason Chiang, Furong Huang
2026Advanced Black-Box Tuning of Large Language Models with Limited API Calls.
Zhikang Xie, Weilin Wan, Peizhu Gong, Weizhong Zhang, Cheng Jin
2026Advancing Multimodal Teacher Sentiment Analysis: The Large-Scale T-MED Dataset & the Effective AAM-TSA Model.
Zhiyi Duan, Xiangren Wang, Hongyu Yuan, Qianli Xing
2026Advancing Out-of-Distribution Detection Across Diverse Scenarios.
Xiang Fang
2026Advancing Protein Design via Multi-Agent Reinforcement Learning with Pareto-Based Collaborative Optimization.
Mingming Zhu, Jiahua Rao, Xiaoyu Chen, Qianmu Yuan, Yuedong Yang
2026Advancing Safe Mechanical Ventilation Using Offline RL with Hybrid Actions and Clinically Aligned Rewards.
Muhammad Hamza Yousuf, Jason Li, Sahar Vahdati, Raphael Theilen, Jakob Wittenstein, Jens Lehmann
2026Adversarial Attack on Black-Box Multi-Agent by Adaptive Perturbation.
Jianming Chen, Yawen Wang, Junjie Wang, Xiaofei Xie, Yuanzhe Hu, Qing Wang, Fanjiang Xu
2026Adversarial Fair Incomplete Multi-View Clustering.
Qianqian Wang, Haiming Xu, Wei Feng, Quanxue Gao
2026Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles.
Jiangfan Liu, Yongkang Guo, Fangzhi Zhong, Tianyuan Zhang, Zonglei Jing, Siyuan Liang, Jiakai Wang, Mingchuan Zhang, Aishan Liu, Xianglong Liu
2026Adversarial Perturbation Shield: Preventing Concept Bleed-through in Continual Learning of Personalized Generative Models.
Ziwen Lan, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama
2026AerialFusion: Co-Motion-Driven Unified Registration and Fusion on Multi-modal Data Streams from Aerial View.
Junhui Qiu, Xiang Xiang, Hongyun Wang, Jiaqi Gui
2026AerialMind: Towards Referring Multi-Object Tracking in UAV Scenarios.
Chenglizhao Chen, Shaofeng Liang, Runwei Guan, Xiaolou Sun, Haocheng Zhao, Haiyun Jiang, Tao Huang, Henghui Ding, Qing-Long Han
2026AerialVLA: A Vision-Language-Action Model for Aerial Navigation with Online Dialogue.
Jinyu Chen, Hongyu Li, Zongheng Tang, Xiaoduo Li, Wenjun Wu, Si Liu
2026Affordance-Guided Coarse-to-Fine Exploration for Base Placement in Open-Vocabulary Mobile Manipulation.
Tzu-Jung Lin, Jia-Fong Yeh, Hung-Ting Su, Chung-Yi Lin, Yi-Ting Chen, Winston H. Hsu
2026Affordance-R1: Reinforcement Learning for Generalizable Affordance Reasoning in Multimodal Large Language Models.
Hanqing Wang, Shaoyang Wang, Yiming Zhong, Zemin Yang, Jiamin Wang, Zhiqing Cui, Jiahao Yuan, Yifan Han, Mingyu Liu, Yuexin Ma
2026Agent Journey Beyond RGB: Hierarchical Semantic-Spatial Representation Enrichment for Vision-and-Language Navigation.
Xuesong Zhang, Yunbo Xu, Jia Li, Ruonan Liu, Zhenzhen Hu
2026Agent-SAMA: State-Aware Mobile Assistant.
Linqiang Guo, Wei Liu, Yi Wen Heng, Tse-Hsun (Peter) Chen, Yang Wang
2026AgentCDM: Enhancing Multi-Agent Collaborative Decision-Making via ACH-Inspired Structured Reasoning.
Xuyang Zhao, Shiwan Zhao, Hualong Yu, Liting Zhang, Qicheng Li
2026AgentGraph: Trace-to-Graph Platform for Interactive Analysis and Robustness Testing in Agentic AI Systems.
Zekun Wu, Seonglae Cho, Cristian E. Muñoz Villalobos, Theo King, Umar Mohammed, Emre Kazim, María Pérez-Ortiz, Sahan Bulathwela, Adriano S. Koshiyama
2026AgentMental: An Interactive Multi-Agent Framework for Explainable and Adaptive Mental Health Assessment.
Jinpeng Hu, Ao Wang, Qianqian Xie, Zhuo Li, Hui Ma, Dan Guo
2026AgentODRL: A Large Language Model-based Multi-agent System for ODRL Generation.
Wanle Zhong, Keman Huang, Xiaoyong Du
2026AgentSeer: Visualizing and Evaluating Temporal Actions in Agentic AI Systems.
Ilham Wicaksono, Zekun Wu, Rahul Patel, Theo King, Adriano S. Koshiyama, Philip Colin Treleaven
2026AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments.
Zikang Leng, Megha Thukral, Yaqi Liu, Hrudhai Rajasekhar, Shruthi K. Hiremath, Jiaman He, Thomas Plötz
2026AgentSwift: Efficient LLM Agent Design via Value-Guided Hierarchical Search.
Yu Li, Lehui Li, Zhihao Wu, Qingmin Liao, Jianye Hao, Kun Shao, Fengli Xu
2026Agentic Design Review System.
Sayan Nag, K. J. Joseph, Koustava Goswami, Vlad I. Morariu, Balaji Vasan Srinivasan
2026Agentic Solutions for IT Financial Operations.
Bekir O. Turkkan, Pavankumar Murali, Chandrasekhar Narayanaswami, Vadim Sheinin
2026Agentmandering: A Game-Theoretic Framework for Fair Redistricting via Large Language Model Agents.
Hao Li, Haotian Chen, Ruoyuan Gong, Juanjuan Wang, Hao Jiang
2026Aggregate-Combine-Readout GNNs Can Express Logical Classifiers Beyond the Logic C2.
Stan P. Hauke, Przemyslaw Andrzej Walega
2026Aggregating Diverse Cue Experts for AI-Generated Image Detection.
Lei Tan, Shuwei Li, Mohan Kankanhalli, Robby T. Tan
2026AgriEval: A Comprehensive Chinese Agricultural Benchmark for Large Language Models.
Lian Yan, Haotian Wang, Chen Tang, Haifeng Liu, Tianyang Sun, Liangliang Liu, Yi Guan, Jingchi Jiang
2026AgroAskAI: A Multi-Agentic AI Framework for Supporting Smallholder Farmers' Enquiries Globally.
Nadine Angela Cantonjos, Arpita Biswas
2026AirCopBench: A Benchmark for Multi-drone Collaborative Embodied Perception and Reasoning.
Jirong Zha, Yuxuan Fan, Tianyu Zhang, Geng Chen, Yingfeng Chen, Chen Gao, Xinlei Chen
2026AirDDE: Multifactor Neural Delay Differential Equations for Air Quality Forecasting.
Binqing Wu, Zongjiang Shang, Shiyu Liu, Jianlong Huang, Jiahui Xu, Ling Chen
2026AirNavigation: Let UAV Navigation Tell Its Own Story.
Jianyu Jiang, Zequan Wang, Liang Yao, Shengxiang Xu, Fan Liu
2026AirWino: Optimized Winograd Convolution for Accelerating CNN Inference on ARMv8 Processors.
Haoyuan Gui, Xiaoyu Zhang, Yifan Zhang, Ximeng Fu, Shiqi Sun, Leisheng Li, Huiyuan Li
2026Alfa: Attentive Low-Rank Filter Adaptation for Structure-Aware Cross-Domain Personalized Gaze Estimation.
He-Yen Hsieh, Wei-Te Mark Ting, H. T. Kung
2026Algorithms for Context Engineering in LLM Inference: Optimization of Placement, Compression, and Scheduling.
Teresa Zhang
2026Algorithms for Structured Elections Under Thiele Voting Rules.
Alexandra Lassota, Krzysztof Sornat
2026Align When They Want, Complement When They Need! Human-Centered Ensembles for Adaptive Human-AI Collaboration.
Syed Hasan Amin Mahmood, Ming Yin, Rajiv Khanna
2026Align to Structure: Aligning Large Language Models with Structural Information.
Zae Myung Kim, Anand Ramachandran, Farideh Tavazoee, Joo-Kyung Kim, Oleg Rokhlenko, Dongyeop Kang
2026AlignCVC: Aligning Cross-View Consistency for Single-Image-to-3D Generation.
Xinyue Liang, Zhiyuan Ma, Lingchen Sun, Yanjun Guo, Lei Zhang
2026AlignSurvey: A Comprehensive Benchmark for Human Preferences Alignment in Social Surveys.
Chenxi Lin, Weikang Yuan, Zhuoren Jiang, Biao Huang, Ruitao Zhang, Jianan Ge, Yueqian Xu, Jianxing Yu
2026AlignTrack: Top-Down Spatiotemporal Resolution Alignment for RGB-Event Visual Tracking.
Chuanyu Sun, Jiqing Zhang, Yang Wang, Yuanchen Wang, Yutong Jiang, Baocai Yin, Xin Yang
2026AlignTree: Efficient Defense Against LLM Jailbreak Attacks.
Gil Goren, Shahar Katz, Lior Wolf
2026Aligning Attention with Human Rationales for Self-Explaining Hate Speech Detection.
Brage Eilertsen, Røskva Bjørgfinsdóttir, Francielle Vargas, Ali Ramezani-Kebrya
2026Aligning Cross-View Visual Geometries in LVLMs Through Human-Like Reasoning Learning.
Yuming Qiao, Liang Luo, Dan Meng, Yifan Yang, Qingyuan Wang, Juntuo Wang, Yuwei Zhang, Ru Zhen, Yanhao Zhang, Haonan Lu, Xudong Zhang
2026Aligning Generative Music AI with Human Preferences: Methods and Challenges.
Dorien Herremans, Abhinaba Roy
2026Aligning Machiavellian Agents: Behavior Steering via Test-Time Policy Shaping.
Dena Mujtaba, Brian Hu, Anthony Hoogs, Arslan Basharat
2026Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment.
Xiang Ma, Lexin Fang, Litian Xu, Caiming Zhang
2026Align³GR: Unified Multi-Level Alignment for LLM-based Generative Recommendation.
Wencai Ye, Mingjie Sun, Shuhang Chen, Wenjin Wu, Peng Jiang
2026All-Purpose Mean Estimation over R.
Jasper C. H. Lee
2026Always Refuse: Steering LLMs Against Jailbreaks with Contrastive Activations (Student Abstract).
Abhilekh Borah, Chebrolu Niranjan, Kokil Jaidka
2026Ambiguity-Tolerant Cross-Modal Hashing with Partial Labels.
Chao Su, Yanan Li, Xu Wang, Yingke Chen, Huiming Zheng, Dezhong Peng, Yuan Sun
2026Ambiguity-aware Truncated Flow Matching for Ambiguous Medical Image Segmentation.
Fanding Li, Xiangyu Li, Xianghe Su, Xingyu Qiu, Suyu Dong, Wei Wang, Kuanquan Wang, Gongning Luo, Shuo Li
2026Amplifying Discrepancies: Exploiting Macro and Micro Inconsistencies for Image Manipulation Localization.
Shenghao Chen, Yibo Zhao, Tianyi Wang, Chunjie Ma, Weili Guan, Ming Li, Zan Gao
2026An Adaptive Configuration-Aware Simulated Annealing for the Maximally Diverse Grouping Problem.
Baiyu Chen, Canhui Luo, Junwen Ding, Qingyun Zhang, Zhouxing Su, Zhipeng Lü
2026An Adaptive Sampling Framework for Diffusion-based Dataset Distillation with High Fidelity and Diversity.
Sunbeom Jeong, Sehwan Kim, Hyeonggeun Han, Hyungjun Joo, Sangwoo Hong, Jungwoo Lee
2026An Approach Towards Developing Relationally Intelligent Multimodal Framework for Stock Movement Prediction (Student Abstract).
Manali Patel, Krupa Jariwala, Chiranjoy Chattopadhyay
2026An Efficient and Harmonized Framework for Balanced Cross-Domain Feature Integration.
Shaoxu Li, Ye Pan
2026An Epistemic Perspective on Agent Awareness.
Pavel Naumov, Alexandra Pavlova
2026An Explanation-Based Classroom Response System for Real-Time Analysis of Undergraduate Students' Natural Language Explanations.
Jordan Esiason, Priyanka Khare, Claire Aguiar, Dan Carpenter, Wookhee Min, Seung Lee, Gamze Ozogul, Xiaoying Zheng, James C. Lester
2026An External Fairness Evaluation of LinkedIn Talent Search.
Tina Behzad, Siddartha Devic, Vatsal Sharan, Aleksandra Korolova, David Kempe
2026An Improved Privacy and Utility Analysis of Differentially Private SGD with Bounded Domain and Smooth Losses.
Hao Liang, Wanrong Zhang, Xinlei He, Kaishun Wu, Hong Xing
2026An Information Theoretic Evaluation Metric for Strong Unlearning.
Dongjae Jeon, Wonje Jeung, Taeheon Kim, Albert No, Jonghyun Choi
2026An Interactive Simulation Framework by Ensemble Imitation Learning Agents for Training Robust Trading Policies.
Julian Zhong-Nan Zhang, Yang Yu
2026An Invariant Latent Space Perspective on Language Model Inversion.
Wentao Ye, Jiaqi Hu, Haobo Wang, Xinpeng Ti, Zhiqing Xiao, Hao Chen, Liyao Li, Lei Feng, Sai Wu, Junbo Zhao
2026An LLM-based Quantitative Framework for Evaluating High-Stealthy Backdoor Risks in OSS Supply Chains.
Zihe Yan, Kai Luo, Haoyu Yang, Yang Yu, Zhuosheng Zhang, Guancheng Li
2026An LLM-based Simulation Framework for Embodied Conversational Agents in Psychological Counseling.
Lixiu Wu, Yuanrong Tang, Qisen Pan, Xianyang Zhan, Yuchen Han, Lanxi Xiao, Tianhong Wang, Chen Zhong, Jiangtao Gong
2026An MRP Formulation for Supervised Learning: Generalized Temporal Difference Learning Models (Abstract Reprint).
Yangchen Pan, Junfeng Wen, Chenjun Xiao, Philip Torr
2026Analysing Satellite Imagery Classification Under Spatial Domain Shift Across Geographic Regions (Abstract Reprint).
Sara A. Al-Emadi, Yin Yang, Ferda Ofli
2026Analysis of Motivations in Machine Learning Textbooks.
Khushi Malik, Amber Richardson, Tingting Zhu, Lisa Zhang
2026Analyze-Compose-Execute: A Dynamic Dialogue Framework for Multi-Agent Debate.
Wenyuan Gu, Haowen Wang, Jiale Han, Xiang Li, Zhixuan Wu, Hongru Xiao, Bo Cheng
2026Analyzing and Mitigating Object Hallucination: A Training Bias Perspective.
Yifan Li, Kun Zhou, Xin Zhao, Lei Fang, Jirong Wen
2026Anatomical Region-Guided Contrastive Decoding: A Plug-and-Play Strategy for Mitigating Hallucinations in Medical VLMs.
Xiao Liang, Chenxi Liu, Zhi Ma, Di Wang, Bin Jing, Quan Wang, Yuanyuan Shi
2026Anchor Watermark: Robust Attribution for Diffusion-based Text-to-Audio Model.
Xianjin Rong, Donghui Hu
2026Anchor-Driven Nyström for Deep Graph-Level Clustering.
Jiaxin Wang, Wenxuan Tu, Lingren Wang, Jieren Cheng, Yue Yang
2026Anchor-Guided Discriminative Subspace Alignment and Clustering for Cross-Scene Hyperspectral Imagery.
Yongshan Zhang, Zixuan Zhang, Xinxin Wang, Lefei Zhang, Zhihua Cai
2026AnchorDS: Anchoring Dynamic Sources for Semantically Consistent Text-to-3D Generation.
Jiayin Zhu, Linlin Yang, Yicong Li, Angela Yao
2026AnchorHOI: Zero-shot Generation of 4D Human-Object Interaction via Anchor-based Prior Distillation.
Sisi Dai, Kai Xu
2026AncientBench: Towards Comprehensive Evaluation on Excavated and Transmitted Chinese Corpora.
Zhihan Zhou, Daqian Shi, Rui Song, Lida Shi, Xiaolei Diao, Hao Xu
2026Angular Gradient Sign Method: Uncovering Vulnerabilities in Hyperbolic Networks.
Minsoo Jo, Dongyoon Yang, Taesup Kim
2026AniTales: End-to-End Multimodal Story Generation Through Natural Language Prompting (Student Abstract).
Mrigendra Agrawal, Yunze Xiao
2026Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation.
Xingyao Li, Fengzhuo Zhang, Cunxiao Du, Hui Ji
2026AnoStyler: Text-Driven Localized Anomaly Generation via Lightweight Style Transfer.
Yulim So, Seokho Kang
2026Anomagic: Crossmodal Prompt-driven Zero-shot Anomaly Generation.
Yuxin Jiang, Wei Luo, Hui Zhang, Qiyu Chen, Haiming Yao, Weiming Shen, Yunkang Cao
2026AnomalyMoE: Towards a Language-free Generalist Model for Unified Visual Anomaly Detection.
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Wei Ge, Ming Tang, Jinqiao Wang
2026AnomalyPainter: Vision-Language-Diffusion Synergy for Realistic and Diverse Unseen Industrial Anomaly Synthesis.
Zhangyu Lai, Yilin Lu, Xinyang Li, Jianghang Lin, Yansong Qu, Ming Li, Liujuan Cao
2026Answering the Unanswerable Is to Err Knowingly: Analyzing and Mitigating Abstention Failures in Large Reasoning Models.
Yi Liu, Xiangyu Liu, Zequn Sun, Wei Hu
2026Anti-Avatar: Protect Against Unauthorized 3D Head Avatar Generation via Dual-Space Divergence.
Lingzhuang Meng, Mingwen Shao, Xiang Lv, Mengyao Wu, Yuanjian Qiao, Jie Zhang
2026Anti-adversarial Learning: Desensitizing Prompts for Large Language Model.
Xuan Li, Zhe Yin, Xiaodong Gu, Beijun Shen
2026AntiDote: Bi-level Adversarial Training for Tamper-Resistant LLMs.
Debdeep Sanyal, Manodeep Ray, Murari Mandal
2026Any-Optical-Model: A Universal Foundation Model for Optical Remote Sensing.
Xuyang Li, Chenyu Li, Danfeng Hong
2026Any2Critical: Safety-Critical Scenario Generation from Arbitrary Real-World Driving Contexts.
Yao Huang, Yubo Chen, Ruochen Zhang, Yitong Sun, Shouwei Ruan, Zhenyu Wu, Yinpeng Dong, Xingxing Wei
2026Any2RSI: Controllable Remote Sensing Text-to-Image Generation via Any Control and Enriched Description.
Xu Zhang, Jianzhong Huang, Lefei Zhang
2026Aperiodic Tiling and Rhythmic Canons: A CP Journey.
Guillaume Derval, Christophe Lecoutre
2026Apo2Mol: 3D Molecule Generation via Dynamic Pocket-Aware Diffusion Models.
Xinzhe Zheng, Shiyu Jiang, Gustavo de M. Seabra, Chenglong Li, Yanjun Li
2026Appearance Discrepancy-guided Sequence Hybrid Masking for Robust Scene Text Recognition.
Shihao Zou, Wei Wei, Leyang Xu, Kaihe Xu, Wenfeng Xie
2026Appearance-Motion Decomposed Alignment for Text-Video Retrieval.
Meng Meng, Zichang Tan, Yong Zhang, Xu Zhou
2026Approximately Envy-free and Equitable Allocations of Indivisible Items for Non-monotone Valuations.
Vittorio Bilò, Martin Loebl, Cosimo Vinci
2026Approximating Problems in Abstract Argumentation with Graph Convolutional Networks (Abstract Reprint).
Lars Malmqvist, Tangming Yuan, Peter Nightingale
2026Approximation Algorithm for Constrained k-Center Clustering: A Local Search Approach.
Chaoqi Jia, Longkun Guo, Kewen Liao, Zhigang Lu, Chao Chen, Jason Xue
2026AquaSentinel: Next-Generation AI System Integrating Sensor Networks for Urban Underground Water Pipeline Anomaly Detection via Collaborative MoE-LLM Agent Architecture.
Qiming Guo, Bishal Khatri, Wenbo Sun, Jinwen Tang, Hua Zhang, Wenlu Wang
2026AquaSplatting: A Hybrid 3D Representation for Robust Underwater Scene Reconstruction via Dual-Branch Rendering.
Jiangbei Hu, Haobo Wang, Baixin Xu, Nan Ding, Zhimao Lu, Na Lei, Ying He
2026Arbitrary-Scale 3D Gaussian Super-Resolution.
Huimin Zeng, Yue Bai, Yun Fu
2026ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation.
Shu Wang, Yixiang Fang, Yingli Zhou, Xilin Liu, Yuchi Ma
2026ArchetypeTrader: Reinforcement Learning for Selecting and Refining Learnable Strategic Archetypes in Quantitative Trading.
Chuqiao Zong, Molei Qin, Haochong Xia, Bo An
2026Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs.
Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park
2026Are Language Models Any Good at Density Modeling?
Sriram Ranga, Sai Shashank Bedampeta, Rui Mao, Anupam Chattopadhyay
2026Are We on the Right Way to Assess Document Retrieval-Augmented Generation?
Wenxuan Shen, Mingjia Wang, Yaochen Wang, Dongping Chen, Junjie Yang, Yao Wan, Weiwei Lin
2026Area-Optimal Control Strategies for Heterogeneous Multi-Agent Pursuit.
Kamal Mammadov, Damith C. Ranasinghe
2026Argumentative Debates for Transparent Bias Detection.
Hamed Ayoobi, Nico Potyka, Anna Rapberger, Francesca Toni
2026Artificial Immune System of Secure Face Recognition Against Adversarial Attacks (Abstract Reprint).
Min Ren, Yunlong Wang, Yuhao Zhu, Yongzhen Huang, Zhenan Sun, Qi Li, Tieniu Tan
2026AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin.
Shuo Yang, Qihui Zhang, Yuyang Liu, Yue Huang, Xiaojun Jia, Kun-Peng Ning, Jia-Yu Yao, Jigang Wang, Hailiang Dai, Yibing Song, Li Yuan
2026Assemble Your Crew: Automatic Multi-agent Communication Topology Design via Autoregressive Graph Generation.
Shiyuan Li, Yixin Liu, Qingsong Wen, Chengqi Zhang, Shirui Pan
2026Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs.
Shasha Zhou, Mingyu Huang, Jack Cole, Charles Britton, Ming Yin, Jan Wolber, Ke Li
2026Assessing LLMs for Serendipity Discovery in Knowledge Graphs: A Case for Drug Repurposing.
Mengying Wang, Chenhui Ma, Ao Jiao, Tuo Liang, Pengjun Lu, Shrinidhi Hegde, Yu Yin, Evren Gurkan-Cavusoglu, Yinghui Wu
2026Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation.
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
2026Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study.
Calvin Isley, Joshua Gilbert, Evangelos Kassos, Michaela Kocher, Allen Nie, Emma Brunskill, Benjamin W. Domingue, Jake Hofman, Joscha Legewie, Teddy Svoronos, Charlotte Tuminelli, Sharad Goel
2026Assessing the Risk of Falls in Older Adults Living in the Community Using Machine Learning Models with Imputation (Student Abstract).
Atul Teja Vellampalli, Yugan Kumar, Kai Zhe Tan, Kok Yang Tan, Vanessa Koh, Rahul Malhotra, Angelique W. M. Chan, David Bruce Matchar, Navrag B. Singh, Sai Ganesh Sarvotham Pai
2026AssetOpsBench-Live: Privacy-Aware Online Evaluation of Multi-Agent Performance in Industrial Operations.
Dhaval Patel, Nianjun Zhou, Shuxin Lin, James T. Rayfield, Chathurangi Shyalika, Suryanarayana Reddy Yarrabothula
2026Assignment Problems in Cost Function Networks.
Guidio Sewa, David Allouche, Simon de Givry, George Katsirelos, Pierre Montalbano, Thomas Schiex
2026Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency.
Riling Wei, Kelu Yao, Chuanguang Yang, Jin Wang, Zhuoyan Gao, Chao Li
2026Asymptotic and Finite Sample Analysis of Nonexpansive Stochastic Approximations with Markovian Noise.
Ethan Blaser, Shangtong Zhang
2026Atom-level Adaptive Receptive Fields: A Pruning-Based Encoder for 2D Molecular Graphs (Student Abstract).
Yuhao Zhang, Ningkang Peng, Yafei Liu, Lin Li, Masaru Kitsuregawa, Yanhui Gu
2026Attack the Messages, Not the Agents: A Multi-round Adaptive Stealthy Tampering Framework for LLM-MAS.
Bingyu Yan, Xiaoming Zhang, Ziyi Zhou, Chaozhuo Li, Ruilin Zeng, Yirui Qi, Tianbo Wang, Litian Zhang
2026Attention Retention for Continual Learning with Vision Transformers.
Yue Lu, Xiangyu Zhou, Shizhou Zhang, Yinghui Xing, Guoqiang Liang, Wencong Zhang
2026Attention to Threat-Relevant Objects: Reasoning Detection in Autonomous Driving via Multimodal Large Language Models.
Yulin He, Wei Chen, Xinbiao Gan, Siqi Wang, Haotian Wang, Yusong Tan
2026Attentive Keypoint Identification: Progressive Spatiotemporal Refinement for Video-based Human Pose Estimation.
Sifan Wu, Haipeng Chen, Yingda Lyu, Shaojing Fan, Zhigang Wang, Zhenguang Liu, Yingying Jiao
2026Attribute-guided Dynamic Prompt Learning for Graph Neural Networks.
Zhuomin Liang, Liang Bai, Xian Yang
2026Attribution Analysis-based Concept Alignment: A Human-in-the-loop Data Debugging Framework.
Lei Chai, Lu Qi, Hailong Sun, Jing Zhang, Jingxuan Xu
2026Audio-Assisted Face Video Restoration with Temporal and Identity Complementary Learning.
Yuqin Cao, Yixuan Gao, Wei Sun, Xiaohong Liu, Yulun Zhang, Xiongkuo Min
2026Audio-Thinker: Guiding Large Audio Language Model When and How to Think via Reinforcement Learning.
Shu Wu, Chenxing Li, Wenfu Wang, Hao Zhang, Hualei Wang, Meng Yu, Dong Yu
2026AuditAgent: LLM Agent for Risks Auditing in Recommender Systems.
Du Su, Zhenxing Chen, Shilong Zhao, Yuanhao Liu, Fei Sun, Qi Cao, Huawei Shen
2026Augmentation-invariant Learning Strategy via Data Augmentation for Improving Model Generalization.
Yu Miao, Juanjuan Zhao, Sijie Song, Ran Gong, Yuanqian Zhu, Lusha Qi, Yan Qiang
2026Augmented Runtime Collaboration for Self-Organizing Multi-Agent Systems: A Hybrid Bi-Criteria Routing Approach.
Qingwen Yang, Feiyu Qu, Tiezheng Guo, Yanyi Liu, Yingyou Wen
2026Augmenting Human Creativity with Machine Learning.
Hao-Wen Dong
2026Augmenting Intra-Modal Understanding in MLLMs for Robust Multimodal Keyphrase Generation.
Jiajun Cao, Qinggang Zhang, Yunbo Tang, Zhishang Xiang, Chang Yang, Jinsong Su
2026AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows.
Ruiqiang Zhang, Zehua Ma, Guanjie Wang, Chang Liu, Hengyi Wang, Weiming Zhang
2026Authority Backdoor: A Certifiable Backdoor Mechanism for Authoring DNNs.
Han Yang, Shaofeng Li, Tian Dong, Xiangyu Xu, Guangchi Liu, Zhen Ling
2026Auto-BenchmarkCard: Automated Synthesis of Benchmark Documentation.
Aris Hofmann, Inge Vejsbjerg, Dhaval Salwala, Elizabeth M. Daly
2026Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation.
Junjie Chen, Weihang Su, Zhumin Chu, Haitao Li, Yujia Zhou, Dingbo Yuan, Xudong Wang, Jun Zhou, Yiqun Liu, Min Zhang, Shaoping Ma, Qingyao Ai
2026AutoGameUI: Constructing High-Fidelity GameUI via Multimodal Correspondence Matching.
Zhongliang Tang, Qingrong Cheng, Mengchen Tan, Yongxiang Zhang, Fei Xia
2026AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale.
Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao, Xiaojin Zhang, Zhongyu Wei, Pei Fu, Zhenbo Luo, Wei Chen, Xiang Bai
2026AutoMalDesc: Large-Scale Script Analysis for Cyber Threat Research.
Alexandru-Mihai Apostu, Andrei Preda, Alexandra Daniela Damir, Diana Bolocan, Radu Tudor Ionescu, Ioana Croitoru, Mihaela Gaman
2026AutoPP: Towards Automated Product Poster Generation and Optimization.
Jiahao Fan, Yuxin Qin, Wei Feng, Yanyin Chen, Yaoyu Li, Ao Ma, Yixiu Li, Li Zhuang, Haoyi Bian, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law
2026AutoSCORE: Enhancing Automated Scoring with Multi-Agent Large Language Models via Structured Component Recognition.
Yun Wang, Zhaojun Ding, Xuansheng Wu, Siyue Sun, Ninghao Liu, Xiaoming Zhai
2026AutoSchA: Automatic Hierarchical Music Representations via Multi-Relational Node Isolation.
Stephen Ni-Hahn, Rico Zhu, Jerry Yin, Yue Jiang, Cynthia Rudin, Simon Mak
2026AutoTool: Efficient Tool Selection for Large Language Model Agents.
Jingyi Jia, Qinbin Li
2026AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models.
Daniel Karl I. Weidele, Priyanshu Rai, Frederico Araujo, Teryl Taylor, Radu Marinescu
2026Automata-less Monitoring via Trace-Checking.
Andrea Brunello, Luca Geatti, Angelo Montanari, Nicola Saccomanno
2026Automated Creation and Enrichment Framework for Improved Invocation of Enterprise APIs as Tools.
Prerna Agarwal, Himanshu Gupta, Soujanya Soni, Rohith D. Vallam, Renuka Sindhgatta, Sameep Mehta
2026Automated Human Strategic Behavior Modeling via Large Language Models.
Xiaohan Xie, Haoran Yu, Biying Shou, Jianwei Huang
2026Automated Multi-Camera Inspection System for Aircraft.
Mark D. Rice, Ying Gu, Kelvin Wei Lim, Qing Yu Hoo, Liyuan Li, Lee Jue Ying, Jacky Jie Wei Tan, Lai Xing Ng, Jamie Ng
2026Automated Repair of Totally-Ordered Hierarchical Task Network Domains via Context-Free Grammars with Large Language Model Support.
Daniel Lutalo, Pascal Bercher
2026Automated Unified Reasoning with Vision-Language Models for Multi-modal Burn Assessment.
Md. Masudur Rahman, Mohamed El Masry, Gayle Gordillo, Juan P. Wachs
2026Automatic Channel Pruning by Searching with Structure Embedding for Hash Network.
Zifan Liu, Yuan Cao, Yifan Sun, Yanwei Yu, Heng Qi
2026Automatic Funny Scene Extraction from Long-form Cinematic Videos.
Sibendu Paul, Haotian Jiang, Caren Chen
2026Automatic Paper Reviewing with Heterogeneous Graph Reasoning over LLM-Simulated Reviewer-Author Debates.
Shuaimin Li, Liyang Fan, Yufang Lin, Zeyang Li, Xian Wei, Shiwen Ni, Hamid Alinejad-Rokny, Min Yang
2026Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation.
Yue Cao, Zhuo Zhang, Shuai Xiao, Jialin Li, Guipeng Lan, Jiabao Wen, Jiachen Yang
2026Automating Complex Document Workflows via Stepwise and Rollback-Enabled Operation Orchestration.
Yanbin Zhang, Hanhui Ye, Yue Bai, Qiming Zhang, Liao Xiang, Wu Mianzhi, Renjun Hu
2026Autonomous Concept Drift Threshold Determination.
Pengqian Lu, Jie Lu, Anjin Liu, En Yu, Guangquan Zhang
2026Autonomous Partner Selection for Cooperative Multi-Agent Reinforcement Learning.
Rui Tang, Biao Luo, Yongzheng Cui
2026Autonomous Vehicle Path Planning by Searching with Differentiable Simulation.
Asen Nachkov, Jan-Nico Zaech, Danda Pani Paudel, Xi Wang, Luc Van Gool
2026Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection.
Kaito Shiku, Kazuya Nishimura, Shinnosuke Matsuo, Yasuhiro Kojima, Ryoma Bise
2026Aware Distillation for Robust Vision-Language Tracking Under Linguistic Sparsity.
Guangtong Zhang, Bineng Zhong, Shirui Yang, Yang Wang, Tian Bai
2026Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Significant Gains in Reasoning Efficiency in Large Language Models.
Qiguang Chen, Dengyun Peng, Jinhao Liu, Huikang Su, Jiannan Guan, Libo Qin, Wanxiang Che
2026Axis-Aligned Document Dewarping.
Chaoyun Wang, I-Chao Shen, Takeo Igarashi, Caigui Jiang
2026A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators.
Mingming Zhao, Xiaokang Wei, Yuanqi Shao, Kaiwen Zhou, Lin Yang, Siwei Rao, Junhui Zhan, Zhitang Chen
2026A²LC: Active and Automated Label Correction for Semantic Segmentation.
Youjin Jeon, Kyusik Cho, Suhan Woo, Euntai Kim
2026BAG: Benchmarking Anomaly Detection on Dynamic Graphs.
Fengrui Hua, Yiyan Qi, Zikai Wei, Yuxing Tian, Chengjin Xu, Xiaojun Wu, Jia Li, Jian Guo
2026BAMAS: Structuring Budget-Aware Multi-Agent Systems.
Liming Yang, Junyu Luo, Xuanzhe Liu, Yiling Lou, Zhenpeng Chen
2026BAT: Learning Event-based Optical Flow with Bidirectional Adaptive Temporal Correlation.
Gangwei Xu, Haotong Lin, Zhaoxing Zhang, Hongcheng Luo, Haiyang Sun, Xin Yang
2026BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models.
Catherine Villeneuve, Benjamin Akera, Mélisande Teng, David Rolnick
2026BCE3S: Binary Cross-Entropy Based Tripartite Synergistic Learning for Long-Tailed Recognition.
Weijia Fan, Qiufu Li, Jiajun Wen, Xiaoyang Peng
2026BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction.
Zhengsen Xu, Sibo Cheng, Lanying Wang, Hongjie He, Wentao Sun, Jonathan Li, Lincoln Linlin Xu
2026BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
Doyoung Kim, Jin-Seop Lee, Noo-Ri Kim, Sungjoon Lee, Jee-Hyong Lee
2026BDD2Seq: Enabling Scalable Reversible-Circuit Synthesis via Graph-to-Sequence Learning.
Mingkai Miao, Jianheng Tang, Guangyu Hu, Hongce Zhang
2026BDI-based Opponent Modeling and Strategy Generation for Multi-Issue Negotiation (Student Abstract).
Tianzi Ma, Yulin Wu, Hang Ren, Xiaozhen Sun, Shuhan Qi, Xuan Wang
2026BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion.
Yuanda Wang, Ji Zhou, Xinhui Han, Chao Zhang
2026BEE-RAG: Balanced Entropy Engineering for Retrieval-Augmented Generation.
Yuhao Wang, Ruiyang Ren, Yucheng Wang, Jing Liu, Xin Zhao, Hua Wu, Haifeng Wang
2026BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection.
Guowen Zhang, Chenhang He, Liyi Chen, Lei Zhang
2026BIQ: Bisection Interval Quantization for Communication-efficient Federated Learning.
Luyang Gai, Shusen Yang, Xuebin Ren, Zihao Zhou
2026BLADE: A Behavior-Level Data Augmentation Framework with Dual Fusion Modeling for Multi-Behavior Sequential Recommendation.
Yupeng Li, Mingyue Cheng, Yucong Luo, Yitong Zhou, Qingyang Mao, Shijin Wang
2026BLM-Guard: Explainable Multimodal Ad Moderation with Chain-of-Thought and Policy-Aligned Rewards.
Yiran Yang, Zhaowei Liu, Yuan Yuan, Yukun Song, Xiong Ma, Yinghao Song, Xiangji Zeng, Lu Sun, Yulu Wang, Hai Zhou, Shuai Cui, Zhaohan Gong, Jiefei Zhang
2026BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning.
Lan Li, Tao Hu, Da-Wei Zhou, Jia-Qi Yang, Han-Jia Ye, De-Chuan Zhan
2026BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation.
Andrey Moskalenko, Danil Kuznetsov, Irina Dudko, Anastasiia Iasakova, Nikita Boldyrev, Denis Shepelev, Andrei Spiridonov, Andrey Kuznetsov, Vlad Shakhuro
2026BRI-MH: Behavioral Risk Index for Mental Health - An Interpretable Multimodal LLM-Augmented Framework (Student Abstract).
Mahi Mann, Avinash Anand, Rajiv Ratn Shah
2026BRIC: Bridging Kinematic Plans and Physical Control at Test Time.
Dohun Lim, Minji Kim, Jaewoon Lim, Sungchan Kim
2026BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior.
Haotian Sun, Jessie Zixin Li, John M. Marshall
2026BTPG-max: Achieving Local Maximal Bidirectional Pairs for Bidirectional Temporal Plan Graphs.
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
2026Backdoor Attacks on Open Vocabulary Object Detectors via Multi-Modal Prompt Tuning.
Ankita Raj, Chetan Arora
2026Backdooring Rationalization.
Lingxiao Kong, Jiahui Jiang, Wenchao Xu, Lei Wu
2026Backtrace Mamba: Reviving Critical Temporal Contexts via Hierarchical Memory Compression for Online Action Detection.
Su Yan, Jiahua Li, Kun Wei, Cheng Deng
2026BadThink: Triggered Overthinking Attacks on Chain-of-Thought Reasoning in Large Language Models.
Shuaitong Liu, Renjue Li, Lijia Yu, Lijun Zhang, Zhiming Liu, Gaojie Jin
2026Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts.
Jiajun Liu, Yao He, Wenjun Ke, Peng Wang, Ziyu Shang, Guozheng Li, Zijie Xu
2026Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production.
Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2026Balancing Multimodal Domain Generalization via Gradient Modulation and Projection.
Hongzhao Li, Guohao Shen, Shupan Li, Mingliang Xu, Muhammad Haris Khan
2026Balancing Scaffolding and Autonomy: A Case Study in Designing a Scalable Undergraduate Machine Learning Research Course.
Xinyue Chen, Sharon Jessica, Xu Wang, Sindhu Kutty
2026Balancing Signal and Variance: Adaptive Offline RL Post-Training for VLA Flow Models.
Hongyin Zhang, Shiyuan Zhang, Junxi Jin, Qixin Zeng, Yifan Qiao, Hongchao Lu, Donglin Wang
2026Bandit Learning in Housing Markets.
Shiyun Lin
2026Bant: Byzantine Antidote via Trial Function and Trust Scores.
Gleb Molodtsov, Daniil Medyakov, Sergey Skorik, Nikolas Khachaturov, Shahane Tigranyan, Vladimir Aletov, Aram Avetisyan, Martin Takác, Aleksandr Beznosikov
2026Bayes-Optimal Fair Classification with Multiple Sensitive Features.
Yi Yang, Yinghui Huang, Xiangyu Chang
2026BayesAgent: Bayesian Agentic Reasoning Under Uncertainty via Verbalized Probabilistic Graphical Modeling.
Hengguan Huang, Xing Shen, Guang-Yuan Hao, Songtao Wang, Lingfa Meng, Dianbo Liu, David A. Duchêne, Hao Wang, Samir Bhatt
2026BayesVQA: Energy-Guided Bayesian Debiasing for Language-Bias-Robust Visual Question Answering.
Zhiqi Huang, Huanjia Zhu, Xiangwen Deng, Qinghao Zhong, Bingzhi Chen
2026Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications.
Ashley Klein, Edward Raff, Marcia DesJardin
2026Bayesian Network Structural Consensus via Greedy Min-Cut Analysis.
Pablo Torrijos, José M. Puerta, Juan A. Aledo, José A. Gámez
2026Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement.
Guoxi Huang, Qirui Yang, Ruirui Lin, Zipeng Qi, David Bull, Nantheera Anantrasirichai
2026BeDKD: Backdoor Defense Based on Directional Mapping Module and Adversarial Knowledge Distillation.
Zhengxian Wu, Juan Wen, Wanli Peng, Yinghan Zhou, Changtong Dou, Yiming Xue
2026Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated Images.
Aditya Kumar, Tom Blanchard, Adam Dziedzic, Franziska Boenisch
2026Beetrap-MC: A Minecraft-Based AI Literacy Tool for Teaching Filter Bubbles to Middle School Students.
Erfan Farhadi, Kenneth Fei, Yifan Jiang, Zhen Bai
2026Behavior Regularization with Flow Latent Policy for Offline Reinforcement Learning.
Yulong Xia, Fuchun Sun
2026Behavior Tokens Speak Louder: Disentangled Explainable Recommendation with Behavior Vocabulary.
Xinshun Feng, Mingzhe Liu, Yi Qiao, Tongyu Zhu, Leilei Sun, Shuai Wang
2026Behavioral-Similarity and Clustering-Based Methods for Static Graph Estimation in Hybrid GNNs (Student Abstract).
Ryusei Otani, Keiichi Namikoshi, Yuko Sakurai, Mingyu Guo, Satoshi Oyama
2026Behaviour Policy Optimization: Provably Lower Variance Return Estimates for Off-Policy Reinforcement Learning.
Alexander W. Goodall, Edwin Hamel-De le Court, Francesco Belardinelli
2026Belief-Driven Value Alignment for Human-Robot Collaboration.
Saisai Li, Bing Shi, YiMing Xia, Xiao Su
2026Benchmarking LLMs for Political Science: A United Nations Perspective.
Yueqing Liang, Liangwei Yang, Chen Wang, Congying Xia, Rui Meng, Xiongxiao Xu, Haoran Wang, Ali Payani, Kai Shu
2026Benchmarking LLMs' Mathematical Reasoning with Unseen Random Variables Questions.
Zijin Hong, Hao Wu, Su Dong, Junnan Dong, Yilin Xiao, Yujing Zhang, Zhu Wang, Feiran Huang, Linyi Li, Hongxia Yang, Xiao Huang
2026Benchmarking Multimodal Knowledge Conflict for Large Multimodal Models.
Yifan Jia, Yuntao Du, Kailin Jiang, Yuyang Liang, Qihan Ren, Yi Xin, Rui Yang, Fenze Feng, Mingcai Chen, Hengyang Lu, Haozhe Wang, Xiaoye Qu, Qian Li, Dongrui Liu
2026Benchmarking Reinforcement Learning Algorithms for ICU Ventilator Settings: An Interpretable and Probabilistic Patient Environment for Doctor Agents.
Ya-Hsi Chang, Po-Chih Kuo
2026Benchmarking Trustworthiness in Multimodal LLMs for Video Understanding.
Youze Wang, Zijun Chen, Ruoyu Chen, Shishen Gu, Wenbo Hu, Jiayang Liu, Yinpeng Dong, Hang Su, Jun Zhu, Meng Wang, Richang Hong
2026Benchmarking Visual LLMs Resilience to Unanswerable Questions on Visually Rich Documents.
Davide Napolitano, Luca Cagliero, Fabrizio Battiloro
2026Benchmarking XAI Explanations with Human-Aligned Evaluations.
Rémi Kazmierczak, Steve Azzolin, Eloïse Berthier, Anna Hedström, Patricia Delhomme, David Filliat, Nicolas Bousquet, Goran Frehse, Massimiliano Mancini, Baptiste Caramiaux, Andrea Passerini, Gianni Franchi
2026Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models.
Zijie Xu, Wenjun Ke, Peng Wang, Guozheng Li, Qingjian Ni, Jiajun Liu, Ziyu Shang, Jing Zhou
2026Best Arm Identification with Biased Contexts.
James Cheshire, Stéphan Clémençon
2026Best of Both Worlds Guarantees for Equitable Allocations.
Umang Bhaskar, Vishwa Prakash HV, Aditi Sethia, Rakshitha
2026Best-Effort Policies for Robust Markov Decision Processes.
Alessandro Abate, Thom Badings, Giuseppe De Giacomo, Francesco Fabiano
2026Beta Distribution Learning for Reliable Roadway Crash Risk Assessment.
Ahmad Elallaf, Nathan Jacobs, Xinyue Ye, Mei Chen, Gongbo Liang
2026Better Datasets Start from RefineLab: Automatic Optimization for High-Quality Dataset Refinement.
Xiaonan Luo, Yue Huang, Ping He, Xiangliang Zhang
2026Better Matching, Less Forgetting: A Quality-Guided Matcher for Transformer-based Incremental Object Detection.
Qirui Wu, Shizhou Zhang, De Cheng, Yinghui Xing, Lingyan Ran, Dahu Shi, Peng Wang
2026Beware of Reasoning Overconfidence: Pitfalls in the Reasoning Process for Multi-solution Tasks.
Jiannan Guan, Qiguang Chen, Libo Qin, Dengyun Peng, Jinhao Liu, Liangyu Huo, Jian Xie, Wanxiang Che
2026Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents.
Qihao Wang, Yue Hu, Mingzhe Lu, Jiayue Wu, Yanbing Liu, Yuanmin Tang
2026Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection.
Pengfei Jin, Peng Shu, Sifan Song, Sekeun Kim, Qing Xiao, Cheng Chen, Tianming Liu, Xiang Li, Quanzheng Li
2026Beyond Binary Classification: A Semi-supervised Approach to Generalized AI-generated Image Detection.
Hong-Hanh Nguyen-Le, Van-Tuan Tran, Thuc D. Nguyen, Nhien-An Le-Khac
2026Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness.
Xinbao Qiao, Ningning Ding, Yushi Cheng, Meng Zhang
2026Beyond Boundaries: Leveraging Vision Foundation Models for Source-Free Object Detection.
Huizai Yao, Sicheng Zhao, Pengteng Li, Yi Cui, Shuo Lu, Weiyu Guo, Yunfan Lu, Yijie Xu, Hui Xiong
2026Beyond Chains: Bridging Large Language Models and Knowledge Bases in Complex Question Answering.
Yihua Zhu, Qianying Liu, Akiko Aizawa, Hidetoshi Shimodaira
2026Beyond Conservation: Flexible Molecular Assembly with Unbalanced Diffusion Bridge.
Rongchao Zhang, Yiwei Lou, Yu Huang, Yi Xin, Yongzhi Cao, Hanpin Wang
2026Beyond Content: A Comprehensive Speech Toxicity Dataset and Detection Framework Incorporating Paralinguistic Cues.
Zhongjie Ba, Liang Yi, Peng Cheng, Qingcao Li, Qinglong Wang, Li Lu
2026Beyond Cosine Similarity: Magnitude-Aware CLIP for No-Reference Image Quality Assessment.
Zhicheng Liao, Dongxu Wu, Zhenshan Shi, Sijie Mai, Hanwei Zhu, Lingyu Zhu, Yuncheng Jiang, Baoliang Chen
2026Beyond Counting: Evaluating Abstract and Emotional Reasoning in Vision-Language Models.
Yuan Zhou, Yan Zhang, Jianlong Chang, Xin Gu, Ying Wang, Kun Ding, Guangwen Yang, Shiming Xiang
2026Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion.
Chen Han, Yijia Ma, Jin Tan, Wenzhen Zheng, Xijin Tang
2026Beyond Euclidean Assumptions: Geometry-Aware Adaptive Routing for Remote Sensing Segmentation.
Jie Qiu, Dizuo Cao, Linwei Dai, Xin Li, Fan Yang, Dong Yu, Changying Wang, Zongheng Wen, Youqin Chen, Jianzhang Chen
2026Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces.
Shreyas Rajesh, Pavan Holur, Chenda Duan, David Chong, Vwani Roychowdhury
2026Beyond Fixed Depth: Adaptive Graph Neural Networks for Node Classification Under Varying Homophily.
Asela Hevapathige, Asiri Wijesinghe, Ahad N. Zehmakan
2026Beyond Fixed Tasks: Unsupervised Environment Design for Task-Level Pairs.
Daniel Furelos-Blanco, Charles Pert, Frederik Kelbel, Alex F. Spies, Alessandra Russo, Michael Dennis
2026Beyond Fully Supervised Pixel Annotations: Scribble-Driven Weakly-Supervised Framework for Image Manipulation Localization.
Songlin Li, Guofeng Yu, Zhiqing Guo, Yunfeng Diao, Dan Ma, Gaobo Yang
2026Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment.
Yanzhe Xie, Li Huang, Qiang Gao, Xueqin Chen, Fan Zhou, Kunpeng Zhang
2026Beyond I'm Sorry, I Can't: Dissecting Large-Language-Model Refusal.
Nirmalendu Prakash, Wei Jie Yeo, Amir Abdullah, Ranjan Satapathy, Erik Cambria, Roy Ka-Wei Lee
2026Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration.
Tongshun Zhang, Pingping Liu, Zixuan Zhong, Zijian Zhang, Qiuzhan Zhou
2026Beyond Immediate Activation: Temporally Decoupled Backdoor Attacks on Time Series Forecasting.
Zhixin Liu, Xuanlin Liu, Sihan Xu, Yaqiong Qiao, Ying Zhang, Xiangrui Cai
2026Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection.
Jie Lian, Zhihao Wu, Jielong Lu, Jiajun Yu, Qianqian Shen, Haishuai Wang
2026Beyond MSE: Ordinal Cross-Entropy for Probabilistic Time Series Forecasting.
Jieting Wang, Huimei Shi, Feijiang Li, Xiaolei Shang
2026Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification.
Xin Qin, Mengna Liu, Wenjie Wang, Shuxin Li, Tianjiao Li, Xiufeng Liu, Xu Cheng
2026Beyond Monotonicity: Revisiting Factorization Principles in Multi-Agent Q-Learning.
Tianmeng Hu, Yongzheng Cui, Rui Tang, Biao Luo, Ke Li
2026Beyond N-grams: A Hierarchical Reward Learning Framework for Clinically-Aware Medical Report Generation.
Yuan Wang, Shujian Gao, Jiaxiang Liu, Songtao Jiang, Haoxiang Xia, Xiaotian Zhang, Zhaolu Kang, Yemin Wang, Zuozhu Liu
2026Beyond Neuron-Level Sparsity: Achieving Faithful and Interpretable LLMs with Mixture of Decoders.
Grigorios Chrysos
2026Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions.
Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron
2026Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning.
Jiexi Liu, Meng Cao, Songcan Chen
2026Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration.
Ante Wang, Yujie Lin, Jingyao Liu, Suhang Wu, Hao Liu, Xinyan Xiao, Jinsong Su
2026Beyond Patches: Mining Interpretable Part-Prototypes for Explainable AI.
Mahdi Alehdaghi, Rajarshi Bhattacharya, Pourya Shamsolmoali, Rafael M. O. Cruz, Eric Granger
2026Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score.
Zhanghao Hu, Qinglin Zhu, Siya Qi, Yulan He, Hanqi Yan, Lin Gui
2026Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer's Disease Detection.
Puzhen Su, Haoran Yin, Yongzhu Miao, Jintao Tang, Shasha Li, Ting Wang
2026Beyond Predictive Resampling: Learning Input-Agnostic Downsampling for Efficient Aligned Vision Recognition.
Kai Zhao, Liting Ruan, Haoran Jiang, Xiaoqiang Zhu, Xianchao Zhang, Dan Zeng
2026Beyond Prompting: AI Safety Education in the Generative AI Era.
Phan Xuan Tan, Eiji Kamioka, Van Nguyen
2026Beyond Quadratic: Linear-Time Change Detection with RWKV.
Zhenyu Yang, Gensheng Pei, Tao Chen, Xia Yuan, Haofeng Zhang, Xiangbo Shu, Yazhou Yao
2026Beyond ReAct: A Planner-Centric Framework for Complex Tool-Augmented LLM Reasoning.
Xiaolong Wei, Yuehu Dong, Xingliang Wang, Xingyu Zhang, Zhejun Zhao, Dongdong Shen, Long Xia, Dawei Yin
2026Beyond Retraining: Training-Free Unknown Class Filtering for Source-Free Open Set Domain Adaptation of Vision-Language Models.
Yongguang Li, Jindong Li, Qi Wang, Qianli Xing, Runliang Niu, Shengsheng Wang, Menglin Yang
2026Beyond Semantic Features: Pixel-level Mapping for Generalized AI-Generated Image Detection.
Chenming Zhou, Jiaan Wang, Yu Li, Lei Li, Juan Cao, Sheng Tang
2026Beyond Sharpness: A Flatness Decomposition Framework for Efficient Continual Learning.
Yanan Chen, Tieliang Gong, Yunjiao Zhang, Wen Wen
2026Beyond Sharpness: The Role of Nonuniformity in Generalization.
Yingcong Zhou, Pingfan Wu, Li Wang, Zhiguo Fu, Fengqin Yang
2026Beyond Simple Edits: X-Planner for Complex Instruction-Based Image Editing.
Chun-Hsiao Yeh, Yilin Wang, Nanxuan Zhao, Richard Zhang, Yuheng Li, Yi Ma, Krishna Kumar Singh
2026Beyond Single Transactions: D-EMAML - Dual-Edge Motif Neural Networks for Enhanced Anti-Money Laundering Detection.
Dongmei Han, Min Min, Yuchen Wang, Guoming Xu, Xiaofeng Zhou
2026Beyond Single-Point Perturbation: A Hierarchical, Manifold-Aware Approach to Diffusion Attacks.
Zhijie Wang, Lin Wang, Zhenyu Wen, Cong Wang
2026Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling.
Hongwei Wang, Yangru Huang, Guangyao Chen, Xu Wang, Yi Jin
2026Beyond Single-Step Updates: Reinforcement Learning of Heuristics with Limited-Horizon Search.
Gal Hadar, Forest Agostinelli, Shahaf S. Shperberg
2026Beyond Static: Related Questions Retrieval Through Conversations in Community Question Answering.
Xiao Ao, Jie Zou, Yibiao Wei, Peng Wang, Weikang Guo
2026Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models.
Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn
2026Beyond Superficial Forgetting: Thorough Unlearning Through Knowledge Density Estimation and Block Re-Insertion.
Feng Guo, Yuntao Wen, Shen Gao, Junshuo Zhang, Shuo Shang
2026Beyond Tokens: Dynamic Latent Reasoning via Semantic Residual Refinement.
Fangrui Lv, Lei Wang, Ruixin Hong, Yong Du, Xiangyu Wu, Tingting Gao, Guorui Zhou, Changshui Zhang
2026Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning.
Sanyam Vyas, Alberto Caron, Chris Hicks, Pete Burnap, Vasilios Mavroudis
2026Beyond Transcription: Mechanistic Interpretability in ASR.
Neta Glazer, Yael Segal-Feldman, Hilit Segev, Aviv Shamsian, Asaf Buchnick, Gill Hetz, Ethan Fetaya, Joseph Keshet, Aviv Navon
2026Beyond Verdicts: Evaluating Language Model Moral Competence.
Aaron J. Snoswell, Daniel Kilov, Seth Lazar
2026Beyond Wide-Angle Images: Structure-to-Detail Video Portrait Correction via Unsupervised Spatiotemporal Adaptation.
Wenbo Nie, Lang Nie, Chunyu Lin, Jingwen Chen, Ke Xing, Jiyuan Wang, Kang Liao
2026Beyond World Models: Rethinking Understanding in AI Models.
Tarun Gupta, Danish Pruthi
2026Beyond the Black Box: Demystifying Multi-Turn LLM Reasoning with VISTA.
Yiran Zhang, Mingyang Lin, Mark Dras, Usman Naseem
2026Beyond the Horizon: Decoupling Multi-View UAV Action Recognition via Partial Order Transfer.
Wenxuan Liu, Zhuo Zhou, Xuemei Jia, Siyuan Yang, Wenxin Huang, Xian Zhong, Chia-Wen Lin
2026Beyond the Lower Bound: Bridging Regret Minimization and Best Arm Identification in Lexicographic Bandits.
Bo Xue, Yuanyu Wan, Zhichao Lu, Qingfu Zhang
2026Beyond the Mean: Fisher-Orthogonal Projection for Natural Gradient Descent in Large Batch Training.
Yishun Lu, Wesley Armour
2026BeyondSparse: Facilitating Mamba to Enhance Cross-Domain 3D Semantic Segmentation in Adverse Weather.
Yao Wu, Mingwei Xing, Yachao Zhang, Fangyong Wang, Xiaopei Zhang, Yanyun Qu
2026BhashaKritika: Building Synthetic Pretraining Data at Scale for Indic Languages.
Guduru Manoj, Neel Prabhanjan Rachamalla, Ashish Kulkarni, Gautam Rajeev, Jay Piplodiya, Arul Menezes, Shaharukh Khan, Souvik Rana, Manya Sah, Chandra Khatri, Shubham Agarwal
2026Bi-Level Contextual Bandits for Individualized Resource Allocation Under Delayed Feedback.
Mohammadsina Almasi, Hadis Anahideh
2026Bi-Level Preference Optimization for Retrieval-Augmented Generation (Student Abstract).
Sizhong Cao
2026Bi-Spectrum Distillation: Addressing Spectral Mismatch in ANN-SNN Knowledge Transfer.
Yuxuan Zhang, Yuhang Sun, Wen Yao, Yue Deng, Hongjue Li
2026Bi-VLM: Binary Post-Training Quantization for Vision-Language Models.
Xijun Wang, Rayyan Abdalla, Junyun Huang, Chengyuan Zhang, Ruiqi Xian, Dinesh Manocha
2026Bi-level Personalization for Federated Foundation Models: A Task-vector Aggregation Approach.
Yiyuan Yang, Guodong Long, Qinghua Lu, Liming Zhu, Jing Jiang
2026BiCA: Effective Biomedical Dense Retrieval with Citation-Aware Hard Negatives.
Aarush Sinha, Pavan Kumar S, Roshan Balaji, Nirav Pravinbhai Bhatt
2026BiCycle: Group-wise Recursive Transformer Based on ASR Mechanism.
Min Ho Jang, Eun Seo Seo, Jin Young Kim, Hyeongsoo Lim, Ji Won Yoon
2026BiHiTo: Biomolecular Hierarchy-inspired Tokenization.
Ruochong Zheng, Yutian Liu, Yian Zhao, Zhiwei Nie, Xuehan Hou, Chang Liu, Siwei Ma, Youdong Mao, Jie Chen
2026BiO-HMC: Dynamic Human-Machine Collaboration for Consensus Decision-Making via Bilevel Optimization.
Yinghui Pan, Shuaijie Zhao, Shenbao Yu, Zongyang Liu, Yifeng Zeng, Han Liu, Mingwei Lin
2026BiST-Mamba: A Dual-branch Spatio-Temporal Mamba Network for Encrypted Traffic Classification (Student Abstract).
Tongle Zhao, Fang Fan, Huiqi Zhao, Xiaodu Liu
2026Bias Association Discovery Framework for Open-Ended LLM Generations.
Jinhao Pan, Chahat Raj, Ziwei Zhu
2026Bias-Restrained Prefix Representation Finetuning for Mathematical Reasoning.
Sirui Liang, Pengfei Cao, Jian Zhao, Cong Huang, Jun Zhao, Kang Liu
2026Bid Farewell to Seesaw: Towards Accurate Long-Tail Session-Based Recommendation via Dual Constraints of Hybrid Intents.
Xiao Wang, Ke Qin, Dongyang Zhang, Xiurui Xie, Shuang Liang
2026BidMatch: Boosting Semi-Supervised Learning by Bi-Dimensional Sample Weight Guidance.
Xianling Yang, Zhiwen Yu, Song Sun, Kaixiang Yang
2026Bidirectional Bounded-Suboptimal Heuristic Search with Consistent Heuristics.
Shahaf S. Shperberg, Natalie Morad, Lior Siag, Ariel Felner, Dor Atzmon
2026Bidirectional Channel-selective Semantic Interaction for Semi-Supervised Medical Segmentation.
Kaiwen Huang, Yizhe Zhang, Yi Zhou, Tianyang Xu, Tao Zhou
2026Bidirectional Counterfactual Distillation for Review-Based Recommendation.
Sheng Sang, Shujie Li, Shuaiyang Li, Kang Liu, Teng Li, Wei Jia, Dan Guo, Feng Xue
2026Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation.
Tianyi Zheng, Jiayang Gao, Peng-Tao Jiang, Fengxiang Yang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li
2026Bilevel MCTS for Amortized O(1) Node Selection in Classical Planning.
Masataro Asai
2026Binary Message Passing for Generalizable Semi-Supervised Graph Anomaly Detection.
Jingyuan Zhang, Xin Wang, Lei Yu, Li Yang, Fengjun Zhang
2026Binary Split Categorical Feature with Mean Absolute Error Criteria in CART.
Peng Yu, Yike Chen, Chao Xu, Albert Bifet, Jesse Read
2026Binary-Gaussian: Compact and Progressive Representation for 3D Gaussian Segmentation.
An Yang, Chenyu Liu, Jun Du, Jianqing Gao, Jia Pan, Jinshui Hu, Baocai Yin, Bing Yin, Cong Liu
2026BioDPP: Dynamic Prompt Policy Learning for Biomedical Vision-Language Models.
Pingyi Miao, Xianlai Chen, Kai Sun, Yunbo Wang, Shuang Zhao, Ying An
2026Biologically-Inspired Evolutionary Domain Symbiosis for Few-shot and Zero-shot Point Cloud Semantic Segmentation.
Changshuo Wang, Zhijian Hu, Xiang Fang, Zaiyang Yu, Yibin Wu, Mingkun Xu, Yusong Wang, Xingyu Gao, Prayag Tiwari
2026Bipartite Mode Matching for Vision Training Set Search from a Hierarchical Data Server.
Yue Yao, Ruining Yang, Tom Gedeon
2026BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training.
Xiaozhe Ren, Qiong Luo
2026Blessing of Dimensionality for Approximating Sobolev Classes on Manifolds.
Hong Ye Tan, Subhadip Mukherjee, Junqi Tang, Carola-Bibiane Schönlieb
2026Blur-Robust Detection via Feature Restoration: An End-to-End Framework for Prior-Guided Infrared UAV Target Detection.
Xiaolin Wang, Houzhang Fang, Qingshan Li, Lu Wang, Yi Chang, Luxin Yan
2026BokehCrafter: Taming Video Diffusion Models for Controllable Bokeh Rendering.
Qiwen Wang, Liao Shen, Jiaqi Li, Tianqi Liu, Huiqiang Sun, Zihao Huang, Yachuan Huang, Xianrui Luo, Zhiguo Cao
2026BokehFlow: Depth-Free Controllable Bokeh Rendering via Flow Matching.
Yachuan Huang, Xianrui Luo, Qiwen Wang, Liao Shen, Jiaqi Li, Huiqiang Sun, Zihao Huang, Wei Jiang, Zhiguo Cao
2026Bolster Hallucination Detection via Prompt-Guided Data Augmentation.
Wenyun Li, Zheng Zhang, Dongmei Jiang, Xiangyuan Lan
2026Bonsai: Interpretable Tree-Adaptive Grounded Reasoning.
Kate Sanders, Benjamin Van Durme
2026Boomda: Balanced Multi-objective Optimization for Multimodal Domain Adaptation.
Jun Sun, Xinxin Zhang, Simin Hong, Jian Zhu, Xiang Gao
2026Boosting ASR Robustness via Test-Time Reinforcement Learning with Audio-Text Semantic Rewards.
Linghan Fang, Tianxin Xie, Li Liu
2026Boosting Adversarial Transferability via Ensemble Non-Attention.
Yipeng Zou, Qin Liu, Jie Wu, Yu Peng, Guo Chen, Hui Zhou, Guanghui Ye
2026Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation.
Haoyu Lei, Kaiwen Zhou, Yinchuan Li, Zhitang Chen, Farzan Farnia
2026Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.
Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu
2026Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification.
Yu Wang, Fengxia Han, Jianyu Wang
2026Boosting Resolution Generalization of Diffusion Transformers with Randomized Positional Encodings.
Liang Hou, Cong Liu, Mingwu Zheng, Xin Tao, Pengfei Wan, Di Zhang, Kun Gai
2026Boosting the Robustness-Accuracy Trade-off of SNNs by Robust Temporal Self-Ensemble.
Jihang Wang, Dongcheng Zhao, Ruolin Chen, Qian Zhang, Yi Zeng
2026Bootstrapping LLMs via Preference-Based Policy Optimization.
Chen Jia
2026Bootstrapping Personalized Insulin Therapy via Model-Based Reinforcement Learning: An In Silico Study.
Sumana Basu, Flemming Kondrup, Adriana Romero-Soriano, Doina Precup
2026Bot Blitz: A Scalable Hands-On Workshop for Teaching AI and Robotics Concepts Through Narrative-Driven Problem Solving.
Sandra Roach, Karis Boyd-Sinkler, Visrut Sudhakar, Shaundra Daily, Miroslav Pajic, Whitney McCoy
2026Bot Meets Shortcut: How Can LLMs Aid in Handling Unknown Invariance OOD Scenarios?
Shiyan Zheng, Herun Wan, Minnan Luo, Junhang Huang
2026BraSTORM: A Dual-Branch Self-Supervised Framework for EEG Representation Learning via Input-Level Spatio-Temporal Decomposition.
Yifan Wang, Der-Horng Lee, Bruce X. B. Yu
2026BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis.
Jiajun Ma, Yongchao Zhang, Chao Zhang, Zhao Lv, Shengbing Pei
2026BrainLMM: A Label-Free Framework for Mapping Multi-Semantic Representation in the Human Visual Cortex.
Tan Gao, Mufan Xue, Haofang Zheng, Shuo Lv, Jia Xu, Dabin Sheng, Ziming Mao, Xinyu Wu, Andrew Luo, Guoyuan Yang
2026Brains vs. Algorithms? How Experts and Students See AI-Generated Distractors.
Zifeng Liu, Hai Li, Jie Chao, Wanli Xing
2026Branch, or Layer? Zeroth-Order Optimization for Continual Learning of Vision-Language Models.
Ziwei Liu, Borui Kang, Wei Li, Hangjie Yuan, Yanbing Yang, Wenbin Li, Yifan Zhu, Tao Feng, Jun Luo
2026Breadth-First Search vs. Restarting Random Walks for Escaping Uninformed Heuristic Regions.
Daniel Platnick, Dawson Tomasz, Eamon Earl, Sourena Khanzadeh, Richard Valenzano
2026Break the Tie: Learning Cluster-Customized Category Relationships for Categorical Data Clustering.
Mingjie Zhao, Zhanpei Huang, Yang Lu, Mengke Li, Yiqun Zhang, Weifeng Su, Yiu-ming Cheung
2026Breakable Machine: A K-12 Classroom Game for Transformative AI Literacy Through Spoofing and eXplainable AI (XAI).
Olli Hilke, Nicolas Pope, Juho Kahila, Henriikka Vartiainen, Teemu Roos, Tuomo Parkki, Matti Tedre
2026Breaking Alignment Barriers: TPS-Driven Semantic Correlation Learning for Alignment-Free RGB-T Salient Object Detection.
Lupiao Hu, Fasheng Wang, Fangmei Chen, Fuming Sun, Haojie Li
2026Breaking Barriers, Finding Boundaries: Not Obviously Manipulable Budget-Feasible Mechanism Design.
Bart de Keijzer, Guido Schäfer, Artem Tsikiridis, Carmine Ventre
2026Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning.
Jarin Tasneem
2026Breaking Down Market Barriers: Distilled Prompt-Tuning Approach for Cross-Market Recommendation.
Leqi Zhang, Wayne Lu, Haiyang Zhang, Elliott Wen, Zhixuan Liang, Jia Wang
2026Breaking Measurement Barriers: From Compressed Sensing to Deep Reconstruction.
Gang Qu, Ping Wang, Siming Zheng, Xin Yuan
2026Breaking Model Lock-in: Cost-Efficient Zero-Shot LLM Routing via a Universal Latent Space.
Cheng Yan, Wuyang Zhang, Zhiyuan Ning, Fan Xu, Ziyang Tao, Lu Zhang, Bing Yin, Yanyong Zhang
2026Breaking One-Size-Fits-All: Revisiting Out-of-Distribution Detection on Graphs Under Diverse Distribution Shifts.
Chuancheng Song, Hanyang Shen, Yan Dong, Xixun Lin, Yanmin Shang, Yanan Cao
2026Breaking Task Boundaries: A Unified Model for 3D Medical Image Fusion and Segmentation Guided by Manifold Perspective.
Zeyu Wang, Jiayu Wang, Haiyu Song
2026Breaking the Adversarial Robustness-Performance Trade-off in Text Classification via Manifold Purification.
Chenhao Dang, Jing Ma
2026Breaking the Aggregation Bottleneck in Federated Recommendation: A Personalized Model Merging Approach.
Jundong Chen, Honglei Zhang, Chunxu Zhang, Fangyuan Luo, Yidong Li
2026Breaking the Dyadic Barrier: Rethinking Fairness in Link Prediction Beyond Demographic Parity.
João Mattos, Debolina Halder Lina, Arlei Silva
2026Breaking the Modality Barrier: Generative Modeling for Accurate Molecule Retrieval from Mass Spectra.
Yiwen Zhang, Keyan Ding, Yihang Wu, Xiang Zhuang, Yi Yang, Qiang Zhang, Huajun Chen
2026Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction.
Juncheng Hu, Zijian Zhang, Zeyu Wang, Guoyu Wang, Yingji Li, Kedi Lyu
2026Breaking the Resource Monopoly: LLM Post-Training and Serving with Modest Data and Compute.
Jiaxin Huang
2026Breaking the Stealth-Potency Trade-off in Clean-Image Backdoors with Generative Trigger Optimization.
Binyan Xu, Fan Yang, Di Tang, Xilin Dai, Kehuan Zhang
2026Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models.
Chenxu Yang, Qingyi Si, Lanrui Wang, Zheng Lin
2026BridgeShape: Latent Diffusion Schrödinger Bridge for 3D Shape Completion.
Dequan Kong, Honghua Chen, Zhe Zhu, Mingqiang Wei
2026Bridging Cognitive Gap: Hierarchical Description Learning for Artistic Image Aesthetics Assessment.
Henglin Liu, Nisha Huang, Chang Liu, Jiangpeng Yan, Huijuan Huang, Jixuan Ying, Tong-Yee Lee, Pengfei Wan, Xiangyang Ji
2026Bridging Day and Night: Target-Class Hallucination Suppression in Unpaired Image Translation.
Shuwei Li, Lei Tan, Robby T. Tan
2026Bridging Granularity Gaps: Hierarchical Semantic Learning for Cross-domain Few-shot Segmentation.
Sujun Sun, Haowen Gu, Cheng Xie, Yanxu Ren, Mingwu Ren, Haofeng Zhang
2026Bridging Machine Learning and Physics for Scalable Long-Term Building Temperature Prediction (Student Abstract).
Rohan Saha, Tushar Shinde
2026Bridging Modalities via Progressive Re-alignment for Multimodal Test-Time Adaptation.
Jiacheng Li, Songhe Feng
2026Bridging Optimization and Neural Networks for Efficient Multi-view Clustering.
Hui-Lang Xu, Xiang-Xiang Su, Simin Chen, Guang-Yong Chen, Xing Chen
2026Bridging Public Health with Clinical Decisions from a Data Centric Perspective.
Jiaming Cui
2026Bridging Scale Discrepancies in Robotic Control via Language-Based Action Representations.
Yuchi Zhang, Churui Sun, Shiqi Liang, Diyuan Liu, Chao Ji, Weinan Zhang, Ting Liu
2026Bridging Synthetic and Real Routing Problems via LLM-Guided Instance Generation and Progressive Adaptation.
Jianghan Zhu, Yaoxin Wu, Zhuoyi Lin, Zhengyuan Zhang, Haiyan Yin, Zhiguang Cao, Senthilnath Jayavelu, Xiaoli Li
2026Bridging Vision and Language for Robust Context-Aware Surgical Point Tracking: The VL-SurgPT Dataset and Benchmark.
Rulin Zhou, Wenlong He, An Wang, Jianhang Zhang, Xuanhui Zeng, Xi Zhang, Chaowei Zhu, Haijun Hu, Hongliang Ren
2026Bridging the Copyright Gap: Do Large Vision-Language Models Recognize and Respect Copyrighted Content?
Naen Xu, Jinghuai Zhang, Changjiang Li, Hengyu An, Chunyi Zhou, Jun Wang, Boyu Xu, Yuyuan Li, Tianyu Du, Shouling Ji
2026Bridging the Language Gap: Uncovering and Aligning Shared Circuits for Multi-Hop Reasoning in Multilingual LLMs.
Chenghao Sun, Zhen Huang, Yonggang Zhang, Xinmei Tian, Xu Shen, Jieping Ye
2026Bridging the Modality Reliability Gap in Drug-Target Interaction Prediction via a Confidence-aware Multimodal Fusion Framework.
Jie Yang, Junxiong Zhang, Kun Qian, Qingyu Yang, Weikai Li, Zhen Cheng
2026Bridging the Skills Gap: A Course Model for Modern Generative AI Education.
Anya Bardach, Hamilton Murrah
2026Bridging the Tokenizer Gap: Semantics and Distribution-aware Knowledge Transfer for Unbiased Cross-Tokenizer Distillation.
Huazheng Wang, Yongcheng Jing, Haifeng Sun, Jingyu Wang, Jianxin Liao, Leszek Rutkowski, Dacheng Tao
2026Bring Your Dreams to Life: Continual Text-to-Video Customization.
Jiahua Dong, Xudong Wang, Wenqi Liang, Zongyan Han, Meng Cao, Duzhen Zhang, Hanbin Zhao, Zhi Han, Salman Khan, Fahad Shahbaz Khan
2026Brownian Bridge Augmented Surrogate Simulation and Injection Planning for Geological CO2 Storage.
Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, Yanjie Fu
2026Budgeted Online Active Learning with Expert Advice and Episodic Priors.
Kristen Goebel, William Solow, Paola Pesantez-Cabrera, Markus Keller, Alan Fern
2026BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks.
Uisang Lee, Changhoon Chung, Junmo Lee, Soo-Mook Moon
2026Building AI Hardware Expertise: Edge AI Curriculum Design and Implementation in German Universities.
Ann-Marie Gursch, Xuanshu Luo, Lilian Hasse, Carsten Trinitis, Ulrike Lucke, Martin Werner, Milos Krstic
2026Building Domain-Specific Small Language Models via Guided Data Generation.
Aman Kumar, Ekant Muljibhai Amin, Xian Yeow Lee, Lasitha Vidyaratne, Ahmed K. Farahat, Dipanjan Ghosh, Yuta Koreeda, Chetan Gupta
2026Building Instance Segmentation for Dense Urban Settlements.
Adnan Firoze, Raymond A. Yeh, Daniel G. Aliaga
2026Building Interpretable, Trust-worthy Systems for Neural Signal Decoding.
Hua Xu
2026BuildingWorld: A Structured 3D Building Dataset for Urban Foundation Models.
Shangfeng Huang, Ruisheng Wang, Xin Wang
2026BulletTime4D: Towards High Spatio-Temporal Resolution Dynamic Scene Rendering via Spike-Guided Stereo Vision.
Yiqian Chang, Haoran Xu, Qinghong Ye, Jianing Li, Xuan Wang, Wei Zhang, Peixi Peng
2026Burst Image Quality Assessment: A New Benchmark and Unified Framework for Multiple Downstream Tasks.
Xiaoye Liang, Lai Jiang, Minglang Qiao, Yichen Guo, Yue Zhang, Xin Deng, Shengxi Li, Yufan Liu, Mai Xu
2026C-GNN-PRUNE: A Unified Graph-Based Framework for Structure-Aware Pruning of Mixture-of-Experts Models.
Lin Li, Yan Wang, Zhuopeng Wang
2026C2R-KD: Complex to Real Knowledge Distillation (Student Abstract).
Byunghyuk Youn, Ohyun Jo
2026C3RL: Rethinking the Combination of Channel-independence and Channel-mixing from Representation Learning.
Shusen Ma, Yunbo Zhao, Yu Kang
2026CABTO: Context-Aware Behavior Tree Grounding for Robot Manipulation.
Yishuai Cai, Xinglin Chen, Yunxin Mao, Kun Hu, Minglong Li
2026CAD-VAE: Leveraging Correlation-Aware Latents for Comprehensive Fair Disentanglement.
Chenrui Ma, Xi Xiao, Tianyang Wang, Xiao Wang, Yanning Shen
2026CADTrack: Learning Contextual Aggregation with Deformable Alignment for Robust RGBT Tracking.
Hao Li, Yuhao Wang, Xiantao Hu, Wenning Hao, Pingping Zhang, Dong Wang, Huchuan Lu
2026CADiff: Context-Aware Diffusion for Controllable Anomaly Generation in Anomaly Detection.
Xuan Tong, Yuxuan Lin, Junxiong Lin, Xinji Mai, Haoran Wang, Zeng Tao, Yang Yao, Ruofan Wang, Wenqiang Zhang
2026CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation.
Xinzhe Jiang, Lei Sang, Yi Zhang, Kaibin Wang, Yiwen Zhang
2026CAG-GS: Consistent Anchor Guided Gaussian Splatting for Large-scale Scene Rendering.
Shijie Xu, Qiulei Dong
2026CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge.
Lei Zan, Keli Zhang, Ruichu Cai, Lujia Pan
2026CAMAR: Continuous Actions Multi-Agent Routing.
Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik
2026CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis.
Yuzhuang Xu, Xu Han, Yuanchi Zhang, Yixuan Wang, Yijun Liu, Shiyu Ji, Qingfu Zhu, Wanxiang Che
2026CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift.
HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon
2026CANVAS: A Benchmark for Vision-Language Models on Tool-Based User Interface Design.
Daeheon Jeong, Seoyeon Byun, Kihoon Son, Dae Hyun Kim, Juho Kim
2026CAPO: A Unified Policy Gradient Approach for Reward and Cost Optimization in Safe Reinforcement Learning (Student Abstract).
Xiaotao Liu, Mohit Prashant, Arvind Easwaran
2026CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling.
Bichen Wang, Yixin Sun, Junzhe Wang, Hao Yang, Xing Fu, Yanyan Zhao, Si Wei, Shijin Wang, Bing Qin
2026CART: Compositional AutoRegressive Transformer for Image Generation.
Siddharth Roheda, Rohit Chowdhury, Aniruddha Bala, Rohan Jaiswal
2026CASL: Curvature-Augmented Self-supervised Learning for 3D Anomaly Detection.
Yaohua Zha, Xue Yuerong, Chunlin Fan, Yuansong Wang, Tao Dai, Ke Chen, Shu-Tao Xia
2026CAST-LUT: Tokenizer-Guided HSV Look-Up Tables for Purple Flare Removal.
Pu Wang, Shuning Sun, Jialang Lu, Chen Wu, Zhihua Zhang, Youshan Zhang, Chenggang Shan, Dianjie Lu, Guijuan Zhang, Zhuoran Zheng
2026CAT-Net: A Cross-Attention Tone Network for Cross-Subject EEG-EMG Fusion Tone Decoding.
Yifan Zhuang, Calvin Huang, Zepeng Yu, Yongjie Zou, Jiawei Ju
2026CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning.
Shan Cong, Chao Yu, Xiangyuan Lan
2026CATCH: A Controllable Theme Detection Framework with Contextualized Clustering and Hierarchical Generation.
Rui Ke, Jiahui Xu, Shenghao Yang, Kuang Wang, Feng Jiang, Haizhou Li
2026CATP: Contextually Adaptive Token Pruning for Efficient and Enhanced Multimodal In-Context Learning.
Yanshu Li, Jianjiang Yang, Zhennan Shen, Ligong Han, Haoyan Xu, Ruixiang Tang
2026CATS: Category-Aware Token-level Steering for Training-Free Redundancy Reduction in Large Reasoning Models.
Mengfei Zhang, Zhenglin Wang
2026CCAHCL: Multi-Level Hypergraph Contrastive Learning for Connected Component Awareness.
Zhuo Li, Gengyu Lyu, Yuena Lin, Ziang Chen, Zhiyuan Ma, Zhen Yang, Zun Li
2026CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making.
Hasibur Rahman, Hanan Salam
2026CCFQA: A Benchmark for Cross-Lingual and Cross-Modal Speech and Text Factuality Evaluation.
Yexing Du, Kaiyuan Liu, Youcheng Pan, Zheng Chu, Bo Yang, Xiaocheng Feng, Ming Liu, Yang Xiang
2026CD-DPE: Dual-Prompt Expert Network Based on Convolutional Dictionary Feature Decoupling for Multi-Contrast MRI Super-Resolution.
Xianming Gu, Lihui Wang, Ying Cao, Zeyu Deng, Yingfeng Ou, Guodong Hu, Yi Chen
2026CEC-Zero: Zero-Supervision Character Error Correction with Self-Generated Rewards.
Zhiming Lin, Kai Zhao, Sophie Zhang, Peilai Yu, Canran Xiao
2026CGMIS: Concept-Graph Based Multi-Hop Instructions Synthesis for Enhancing Long-Context Reasoning.
Zechen Sun, Zecheng Tang, Juntao Li, Wenpeng Hu, Wenliang Chen, Zhunchen Luo, Qiaoming Zhu
2026CHARM: Collaborative Harmonization Across Arbitrary Modalities for Modality-Agnostic Semantic Segmentation.
Lekang Wen, Jing Xiao, Liang Liao, Jiajun Chen, Mi Wang
2026CHASE: Contextual History for Adaptive and Simple Exploitation in Large Language Model Jailbreaking.
Zhiqiang Hao, Chuanyi Li, Ye Fan, Jun Cai, Xiao Fu, Shangqi Wang, Hao Shen, Jiao Yin, Jidong Ge, Bin Luo, Vincent Ng
2026CHDP: Cooperative Hybrid Diffusion Policies for Reinforcement Learning in Parameterized Action Space.
Bingyi Liu, Jinbo He, Haiyong Shi, Enshu Wang, Weizhen Han, Jingxiang Hao, Peixi Wang, Zhuangzhuang Zhang
2026CHIMERA: Controllable High-quality Image-Mask Extraction for Reliable Diffusion-based Anomaly Synthesis.
Joungbin Lee, Hyunkoo Lee, Jini Yang, Chaehyun Kim, Jung Yi, Seok Hwangbo, Hyeoncheol Lee, Minho Chun, Eunjo Jeong, Seungryong Kim
2026CIA: Cluster-Instance Alignment for Unsupervised Day-Night Vehicle Re-Identification.
Yongguo Ling, Chen Zhang, Yiming Liu, Wenhao Shao
2026CIP-Net: Continual Interpretable Prototype-based Network.
Federico Di Valerio, Michela Proietti, Alessio Ragno, Roberto Capobianco
2026CKDA: Cross-modality Knowledge Disentanglement and Alignment for Visible-Infrared Lifelong Person Re-identification.
Zhenyu Cui, Jiahuan Zhou, Yuxin Peng
2026CL-DMDF: Dynamic Multimodal Data Fusion Model Based on Contrastive Learning.
Dong Li, Lingling Zhang, Binghao Han, Linlin Ding, Yue Kou
2026CL-Guard: Defending DNNs Against Backdoors via Fine-Grained Neuron Analysis and Collaborative Dual-Network Learning.
Jie Xiao, Yuhao Huang, Yanjiao Gao, Aizhu Liu, Zhezhao Yang, Xinyue Yu, Qianwei Zhou, Fan Terry Zhang
2026CLASP: Cross-modal Salient Anchor-based Semantic Propagation for Weakly-supervised Dense Audio-Visual Event Localization.
Jinxing Zhou, Ziheng Zhou, Yanghao Zhou, Yuxin Mao, Zhangling Duan, Dan Guo
2026CLEAR: Error Analysis via LLM-as-a-Judge Made Easy.
Asaf Yehudai, Lilach Eden, Yotam Perlitz, Roy Bar-Haim, Michal Shmueli-Scheuer
2026CLER: Improving Multimodal Financial Reasoning by Cross-MLLM Error Reflection.
Shuangyan Deng, Zhongsheng Wang, Rui Mao, Ciprian Doru Giurcaneanu, Jiamou Liu
2026CLIP-FTI: Fine-Grained Face Template Inversion via CLIP-Driven Attribute Conditioning.
Longchen Dai, Zixuan Shen, Zhiheng Zhou, Peipeng Yu, Zhihua Xia
2026CLIP2Pose: Frozen CLIP as Semantic Guide for Domain Adaptive Pose Estimation.
Jiawen Li, Fei Jiang, Dandan Zhu, Jinxin Shi, Aimin Zhou
2026CLIPDet3D: Vision-Language Collaborative Distillation for 3D Object Detection.
Jiaqi Zhao, Huanfeng Hu, Yong Zhou, Wen-Liang Du, Kunyang Sun, Rui Yao, Qigong Sun
2026CLIPPan: Adapting CLIP as a Supervisor for Unsupervised Pansharpening.
Lihua Jian, Jiabo Liu, Shaowu Wu, Lihui Chen
2026CLM-Access: A Specialized Foundation Model for High-Dimensional Single-Cell ATAC-Seq Analysis.
Ziqiang Liu, Bowen Li, Zhenyu Xu, Yantao Li, Junwei Zhang, Chulin Sha, Xiaolin Li
2026CLUENet: Cluster Attention Makes Neural Networks Have Eyes.
Xiangshuai Song, Jun-Jie Huang, Tianrui Liu, Ke Liang, Chang Tang
2026CLUHCS: Dual-View Contrastive Learning Enabled Unsupervised Heterogeneous Community Search with Meta-Path Behavior Modeling.
Xiaoqin Xie, Bin Zhao, Mingzhu Chang, Shuai Han, Wu Yang
2026CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding.
Zhihong Zhu, Yunyan Zhang, Fan Zhang, Bowen Xing, Xian Wu
2026CMMCoT: Enhancing Complex Multi-Image Comprehension via Multi-Modal Chain-of-Thought and Memory Augmentation.
Guanghao Zhang, Tao Zhong, Yan Xia, Mushui Liu, Zhelun Yu, Haoyuan Li, Wanggui He, Dong She, Yi Wang, Hao Jiang
2026CMedBench: A Comprehensive Benchmark for Efficient Medical Large Language Models.
Shengbo Gao, Jinyang Guo, Lixian Su, Yifu Ding, Shiqiao Gu, Aishan Liu, Yuqing Ma, Zhiwang Zhang, Xianglong Liu
2026CNM-UNet: Continuous Ordinary Differential Equations for Medical Image Segmentation.
Tianqi Xu, Yashi Zhu, Quansong He, Yue Cao, Kaishen Wang, Zhang Yi, Tao He
2026CO-Bench: Benchmarking Language Model Agents in Algorithm Search for Combinatorial Optimization.
Weiwei Sun, Shengyu Feng, Shanda Li, Yiming Yang
2026CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices.
Zhenxiao Fu, Fan Chen, Lei Jiang
2026CODEI: Resource-Efficient Task-Driven Co-Design of Perception and Decision Making for Mobile Robots Applied to Autonomous Vehicles (Abstract Reprint).
Dejan Milojevic, Gioele Zardini, Miriam Elser, Andrea Censi, Emilio Frazzoli
2026COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series.
Xinxin Song, Yuxiao Cheng, Tingxiong Xiao, Jinli Suo
2026COIN: Uncertainty-Guarding Selective Question Answering for Foundation Models with Provable Risk Guarantees.
Zhiyuan Wang, Jinhao Duan, Qingni Wang, Xiaofeng Zhu, Tianlong Chen, Xiaoshuang Shi, Kaidi Xu
2026COSMOS: Coherent SuperGaussian Modeling with Spatial Priors for Sparse-View 3D Splatting.
Chaeyoung Jeong, Kwangsu Kim
2026COVR: Collaborative Optimization of VLMs and RL Agent for Visual-Based Control.
Canming Xia, Peixi Peng, Guang Tan, Zhan Su, Haoran Xu, Zhenxian Liu, Luntong Li
2026CO²IF: Language-Bridging Hyperspectral-Multispectral Image Fusion with Coordinated and Cross-modal Optimal Transport.
Mingjin Zhang, Zhongkai Yang, Fei Gao
2026CP-CLIP: Customized Parameter Generation for Open-vocabulary Semantic Segmentation.
Zelin Peng, Zhengqin Xu, Feilong Tang, Wei Shen
2026CP-FREEZER: Latency Attacks Against Vehicular Cooperative Perception.
Chenyi Wang, Ruoyu Song, Raymond Muller, Jean-Philippe Monteuuis, Z. Berkay Celik, Jonathan Petit, Ryan M. Gerdes, Ming Li
2026CP-Router: An Uncertainty-Aware Router Between LLM and LRM.
Jiayuan Su, Fulin Lin, Zhaopeng Feng, Han Zheng, Teng Wang, Zhenyu Xiao, Xinlong Zhao, Zuozhu Liu, Lu Cheng, Hongwei Wang
2026CP-Search: A Chain Progressive Search Training Framework Incentivizing the Cognitive Behaviors for Searching in LLMs.
Zehua Wang, Shipeng Li, Buzhou Tang
2026CPOStream: Collaborating Prediction and Observation for Flicker-Free Streamable Free-Viewpoint Video with 3DGS.
Zhenyu Bao, Qing Li, Jinhan Xie, Kanglin Liu
2026CRAF: A Clinical Reasoning-Adaptive Framework via Reinforcement Learning for Similar Case Retrieval.
Jie Lin, Lei Jiang, Zongyi Chen, Liansheng Wang
2026CRIME: Community Rewiring for Influence and Masking Entities in Social Networks (Student Abstract).
Nilanjana Saha, Animesh Dutta
2026CRISP: Curriculum-Inducing Primitive Informed Subgoal Prediction for Boosting Hierarchical Reinforcement Learning.
Utsav Singh, Vinay P. Namboodiri
2026CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning.
Shun Qian, Bingquan Liu, Chengjie Sun, Peijin Xie, Zhen Xu, Baoxun Wang
2026CSP4SDG: Constraint and Information-Theory Based Role Identification in Social Deduction Games with LLM-Enhanced Inference.
Kaijie Xu, Fandi Meng, Clark Verbrugge, Simon Mark Lucas
2026CTPD: Cross Tokenizer Preference Distillation.
Truong Nguyen, Phi Van Dat, Ngan Nguyen, Linh Ngo Van, Trung Le, Thanh Hong Nguyen
2026CTX-Coder: Cross-Attention Architectures Empower LLMs for Long-Context Vulnerability Detection.
Jujie Wang, Kangfeng Zheng, Bin Wu, Chunhua Wu, Yulin Yao, Jiaqi Gao, Minjiao Yang
2026CaPro: Curvilinear-aware Prompt Learning with Single Unlabeled Image for Cost-effective Curvilinear Structure Segmentation.
Zhuangzhuang Chen, Qiangyu Chen, Chubin Ou, Xiaomeng Li
2026CaT-Diff: Cascaded Text-enhanced Diffusion Model for Time-Series Imputation.
Changjian Xu, Yong Wang, Ruizheng Huang, Zhicheng Zhang, Wen Yin, Kexin Li
2026CaTFormer: Causal Temporal Transformer with Dynamic Contextual Fusion for Driving Intention Prediction.
Sirui Wang, Zhou Guan, Bingxi Zhao, Tongjia Gu, Jie Liu
2026Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis.
Federico Cabitza, Andrea Campagner, Gian Eugenio Tontini
2026Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT.
Da Chang, Peng Xue, Yu Li, Yongxiang Liu, Pengxiang Xu, Shixun Zhang
2026Can Editing LLMs Inject Harm?
Canyu Chen, Baixiang Huang, Zekun Li, Zhaorun Chen, Shiyang Lai, Xiongxiao Xu, Jia-Chen Gu, Jindong Gu, Huaxiu Yao, Chaowei Xiao, Xifeng Yan, William Yang Wang, Philip Torr, Dawn Song, Kai Shu
2026Can Humans Teach Machines to Code?
Céline Hocquette, Johannes Langer, Andrew Cropper, Ute Schmid
2026Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models.
Tianyi Zhou, Johanne Medina, Sanjay Chawla
2026Can LLMs Identify Tax Abuse?
Andrew Blair-Stanek, Nils Holzenberger, Benjamin Van Durme
2026Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution.
Deuksin Kwon, Kaleen Shrestha, Bin Han, Spencer Lin, James Hale, Jonathan Gratch, Maja J. Mataric, Gale M. Lucas
2026Can Large Language Models Grasp 3D Medical Anatomy Shapes? (Student Abstract).
Yao Gao, Feng Li, Jeroen Van Dessel, Yi Sun, Robin Willaert
2026Can Molecular Evolution Mechanism Enhance Molecular Representation?
Kun Li, Longtao Hu, Jiameng Chen, Hongzhi Zhang, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
Wenkai Huang, Yijia Guo, Gaolei Li, Lei Ma, Hang Zhang, Liwen Hu, Jiazheng Wang, Jianhua Li, Tiejun Huang
2026Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method.
Gen Liu, Zhongying Zhao, Hui Zhou, Chao Li, Qingtian Zeng
2026Can You Tell the Difference? Contrastive Explanations for ABox Entailments.
Patrick Koopmann, Yasir Mahmood, Axel-Cyrille Ngonga Ngomo, Balram Tiwari
2026Can You Trust What I Think? Analyzing and Improving Verbalized Uncertainty and Factuality in Reasoning-Based Large Language Models.
Tianruo Rose Xu
2026Cancer Survival Prediction by Cyclic Generation and Multi-grained Alignment.
Yongqi Bu, Qinggang Niu, Zhen Li, Yanyu Xu, Jun Wang, Guoxian Yu
2026Capacity Constraints Make Admissions Processes Less Predictable.
Evan Dong, Nikhil Garg, Sarah Dean
2026CapeNext: Rethinking and Refining Dynamic Support Information for Category-Agnostic Pose Estimation.
Yu Zhu, Dan Zeng, Shuiwang Li, Qijun Zhao, Qiaomu Shen, Bo Tang
2026Caption Anything in Video: Fine-grained Object-centric Captioning via Spatiotemporal Multimodal Prompting.
Yolo Yunlong Tang, Jing Bi, Chao Huang, Susan Liang, Daiki Shimada, Hang Hua, Yunzhong Xiao, Yizhi Song, Pinxin Liu, Mingqian Feng, Junjia Guo, Zhuo Liu, Luchuan Song, Ali Vosoughi, Jinxi He, Liu He, Zeliang Zhang, Jiebo Luo, Chenliang Xu
2026Capturing Dynamic User Interests Under Modality Imbalance for Multimodal Sequential Recommendation.
Zilong Li, Jia Zhu, Chenglei Huang, Zhangze Chen, Hanghui Guo, Guoqing Ma, Jianxia Ling
2026CareCom: Generative Image Composition with Calibrated Reference Features.
Jiaxuan Chen, Bo Zhang, Qingdong He, Jinlong Peng, Li Niu
2026Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning.
Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu
2026CasMoE: A Cascaded Framework for Efficient MoE Inference on Resource-constrained Devices.
Chengcheng Wang, Haowen He, Liang Zhao, Xiaoheng Deng, Lixin Duan, Shaohua Wan
2026CastX: Cohort-Level Causal Inference Meets Statistical Testing for Faithful and Reliable GNN Explanations.
Guanyuan Yu, Yijun Chen, Liang Xu, Gang Kou
2026Catastrophic Forgetting in Kolmogorov-Arnold Networks.
Mohammad Marufur Rahman, Guanchu Wang, Kaixiong Zhou, Minghan Chen, Fan Yang
2026Catching the First Light of Tomorrow: A Hackathon-Based Framework for Introducing High School Students to AI Agents.
Long Nguyen, Duc Nguyen, Quan Bui, Dung Phan, Dung Le, Khanh Nguyen, Quynh Vo, Khang Vo, Nam Duong, Anh Dinh, Tri Trinh, Chi Phan, An Nguyen, Thai Nguyen, Dang Le, Vinh Dang, Tho Quan
2026CauVQ: Causal Vector Quantization for Graph OOD Generalization.
Weihong Zhang, Liang Bai, Hangyuan Du, Xian Yang
2026Causal Decoupling Domain Generalization for Remote Sensing Change Detection.
Jiaqi Zhao, Jianpeng Xie, Yong Zhou, Wen-Liang Du, Hancheng Zhu, Rui Yao
2026Causal Discovery from Interval-Based Event Sequences.
Lénaïg Cornanguer, Joscha Cüppers, Jilles Vreeken
2026Causal Explanations for Sequential Decision Making (Abstract Reprint).
Samer B. Nashed, Saaduddin Mahmud, Claudia V. Goldman, Shlomo Zilberstein
2026Causal Inference Under Threshold Manipulation: Bayesian Mixture Modeling and Heterogeneous Treatment Effects.
Kohsuke Kubota, Shonosuke Sugasawa
2026Causal Reward Adjustment: Mitigating Reward Hacking in External Reasoning via Backdoor Correction.
Ruike Song, Zeen Song, Huijie Guo, Wenwen Qiang
2026Causal Structure Learning for Dynamical Systems with Theoretical Score Analysis.
Nicholas Tagliapietra, Katharina Ensinger, Christoph Zimmer, Osman Mian
2026Causal Tracing of Object Representations in Large Vision Language Models: Mechanistic Interpretability and Hallucination Mitigation.
Qiming Li, Zekai Ye, Xiaocheng Feng, Weihong Zhong, Weitao Ma, Xiachong Feng
2026Causal, Strategic, and Combined Responsibility Attribution in Situation Calculus Concurrent Game Structures.
Mohammad Hossein Karimian, Shakil M. Khan, Yves Lespérance
2026Causal-ERC: A Multimodal Framework with Causal Prompting for Emotion Recognition in Conversations with Large Language Models.
Ran Jing, Geng Tu, Yice Zhang, Ruifeng Xu
2026Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention.
Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2026Causal-LLM: Towards Predictive and Interpretable Spatiotemporal Foundation Models.
Zhiqing Cui
2026Causal-Tune: Mining Causal Factors from Vision Foundation Models for Domain Generalized Semantic Segmentation.
Yin Zhang, Yongqiang Zhang, Yaoyue Zheng, Bogdan Raducanu, Dan Liu
2026CausalCLIP: Causally-Informed Feature Disentanglement and Filtering for Generalizable Detection of Generated Images.
Bo Liu, Qiao Qin, Qinghui He
2026CausalPulse: Agentic Copilot for Root Cause Analysis in Smart Manufacturing.
Chathurangi Shyalika, Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth
2026CausalStep: A Benchmark for Explicit Stepwise Causal Reasoning in Videos.
Xuchen Li, Xuzhao Li, Shiyu Hu, Kaiqi Huang, Wentao Zhang
2026CausalTrace: A Neurosymbolic Causal Analysis Agent for Smart Manufacturing.
Chathurangi Shyalika, Aryaman Sharma, Fadi El Kalach, Utkarshani Jaimini, Cory A. Henson, Ramy F. Harik, Amit P. Sheth
2026Causality Matters: How Temporal Information Emerges in Video Language Models.
Yumeng Shi, Quanyu Long, Yin Wu, Wenya Wang
2026Causality-Aligned Semantic Recovery for Incomplete Cross-Modal Retrieval.
Haipeng Chen, Yu Liu, Xun Yang, Yuheng Liang, Yingda Lyu
2026Causality-Aware Efficient Exploration for Cooperative Multi-Agent Reinforcement Learning.
Hongye Cao, Tianpei Yang, Fan Feng, Hammadi Rafik Ouariachi, Yali Du, Meng Fang, Jing Huo, Yang Gao
2026Causality-inspired Federated Learning for Dynamic Spatio-Temporal Graphs.
Yuxuan Liu, Wenchao Xu, Haozhao Wang, Zhiming He, Zhaofeng Shi, Chongyang Xu, Peichao Wang, Boyuan Zhang
2026Causally-Aware Attribute Completion for Incomplete Federated Graph Clustering.
Jingxin Liu, Wenxuan Tu, Haotian Wang, Renda Han, Haoyi Li, Junlong Wu, Xiangyan Tang
2026Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs.
Liu Yu, Zhonghao Chen, Ping Kuang, Zhikun Feng, Fan Zhou, Lan Wang, Gillian Dobbie
2026CellStream: Dynamical Optimal Transport Informed Embeddings for Reconstructing Cellular Trajectories from Snapshots Data.
Yue Ling, Peiqi Zhang, Zhenyi Zhang, Peijie Zhou
2026Center-Outward q-Dominance: A Sample-Computable Proxy for Strong Stochastic Dominance in Stochastic Multi-Objective Optimisation.
Robin van der Laag, Hao Wang, Thomas Bäck, Yingjie Fan
2026Centralized Group Equitability and Individual Envy-Freeness in the Allocation of Indivisible Items.
Ying Wang, Jiaqian Li, Tianze Wei, Hau Chan, Minming Li
2026Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning via Predictive Observation Imputation (Abstract Reprint).
Pedro P. Santos, Diogo S. Carvalho, Miguel Vasco, Alberto Sardinha, Pedro A. Santos, Ana Paiva, Francisco S. Melo
2026CertMask: Certifiable Defense Against Adversarial Patches via Theoretically Optimal Mask Coverage.
Xuntao Lyu, Ching-Chi Lin, Abdullah Al Arafat, Georg von der Brüggen, Jian-Jia Chen, Zhishan Guo
2026Certified Branch-and-Bound MaxSAT Solving.
Dieter Vandesande, Jordi Coll, Bart Bogaerts
2026Certified L2-Norm Robustness of 3D Point Cloud Recognition in the Frequency Domain.
Liang Zhou, Qiming Wang, Tianze Chen
2026Certified but Fooled! Breaking Certified Defenses with Ghost Certificates.
Viet Quoc Vo, Tashreque Mohammed Haq, Paul Montague, Tamas Abraham, Ehsan Abbasnejad, Damith C. Ranasinghe
2026Chain-of-Search: Parameter-Efficient Reasoning for Zero-Shot Object Navigation.
Hanrui Chen, Liqi Yan, Qifan Wang, Jianhui Zhang, Fangli Guan, Pan Li
2026Chain-of-Thought Driven Adversarial Scenario Extrapolation for Robust Language Models.
Md. Rafi Ur Rashid, Vishnu Asutosh Dasu, Ye Wang, Gang Tan, Shagufta Mehnaz
2026Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation.
Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang
2026CharBench: Evaluating the Role of Tokenization in Character-Level Tasks.
Omri Uzan, Yuval Pinter
2026Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse.
Wenchao Dong, Marcelo Sartori Locatelli, Virgílio Almeida, Meeyoung Cha
2026ChartEditor: A Reinforcement Learning Framework for Robust Chart Editing.
Liangyu Chen, Yichen Xu, Jianzhe Ma, Yuqi Liu, Donglu Yang, Liang Zhang, Zihao Yue, Wenxuan Wang, Qin Jin
2026ChatCLIDS: Simulating Persuasive AI Dialogues to Promote Closed-Loop Insulin Adoption in Type 1 Diabetes Care.
Zonghai Yao, Talha Chafekar, Junda Wang, Shuo Han, Feiyun Ouyang, Junhui Qian, Lingxi Li, Hong Yu
2026Chatsparent: An Interactive System for Detecting and Mitigating Cognitive Fatigue in LLMs.
Riju Marwah, Vishal Pallagani, Ritvik Garimella, Amit P. Sheth
2026Cheating Stereo Matching in Full-Scale: Physical Adversarial Attack Against Binocular Depth Estimation in Autonomous Driving.
Kangqiao Zhao, Shuo Huai, Xurui Song, Jun Luo
2026Chinese Two-part Allegorical Sayings Reading Comprehension: Exploration from Reasoning to Metaphor.
Dongyu Su, Yimin Xiao, Tongguan Wang, Feiyue Xue, Junkai Li, Hui Liu, Ying Sha
2026ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications.
Changwen Xing, SamZaak Wong, Xinlai Wan, Yanfeng Lu, Mengli Zhang, Zebin Ma, Lei Qi, Zhengxiong Li, Nan Guan, Zhe Jiang, Xi Wang, Jun Yang
2026Choosing Abstraction Levels for Model-Based Software Debugging: A Theoretical and Empirical Analysis for Spreadsheet Programs (Abstract Reprint).
Patrick Rodler, Birgit Hofer, Dietmar Jannach, Iulia Nica, Franz Wotawa
2026CiNuSeg: Class Incremental Nuclei Segmentation via Anchor-driven Consistency Learning with Dual Region Regularization.
Xuexin Wu, Zhenhui Ding, Huisi Wu, Jing Qin
2026CineMPC: A Fully Autonomous Drone Cinematography System Incorporating Zoom, Focus, Pose, and Scene Composition (Abstract Reprint).
Pablo Pueyo, Juan Dendarieta, Eduardo Montijano, Ana Cristina Murillo, Mac Schwager
2026Circuit-Think: A Multimodal Reasoning Framework for Automated Circuit-to-Netlist Translation with Trajectory-Guided Reinforcement Learning.
Yuqi Jiang, Yupeng Hu, Jinyuan Deng, Xiaotian Qiu, Yucheng Cui, Xuyang He, Ruidong Li, Qi Sun, Cheng Zhuo
2026City Sampling for Citizens' Assemblies.
Paul Gölz, Jan Maly, Ulrike Schmidt-Kraepelin, Markus Utke, Philipp C. Verpoort
2026City of Light (COL): A City-Scale, Geo-Anchored Urban Simulator with High-Throughput Multi-Sensor Streams.
Ilias Sarbout, Mehdi Ounissi, Théo Cazenave-Coupet, Dan Milea, Daniel Racoceanu
2026Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation.
Shengqian Zhu, Chengrong Yu, Qiang Wang, Ying Song, Guangjun Li, Jiafei Wu, Xiaogang Xu, Zhang Yi, Junjie Hu
2026Class-Aware Active Annotation in Federated Semi-Supervised Learning for Medical Image Classification.
Meiting Xue, Miaoqi Li, Yukun Shi, Yan Zeng, Jilin Zhang, Jing Ma
2026Class-Partitioned VQ-VAE and Latent Flow Matching for Point Cloud Scene Generation.
Dasith de Silva Edirimuni, Ajmal Saeed Mian
2026Class-feature Watermark: A Resilient Black-box Watermark Against Model Extraction Attacks.
Yaxin Xiao, Qingqing Ye, Zi Liang, Haoyang Li, Ronghua Li, Huadi Zheng, Haibo Hu
2026Classifier-induced Reciprocal Points for Multi-label Open-set Recognition.
Yibo Wang, Yong Rui, Min-Ling Zhang
2026Clean-Label Physical Backdoor Attacks with Data Distillation.
Thinh Dao, Khoa D. Doan, Kok-Seng Wong
2026Clear Nights Ahead: Towards Multi-Weather Nighttime Image Restoration.
Yuetong Liu, Yunqiu Xu, Yang Wei, Xiuli Bi, Bin Xiao
2026ClearAIR: A Human-Visual-Perception-Inspired All-in-One Image Restoration.
Xu Zhang, Huan Zhang, Guoli Wang, Qian Zhang, Lefei Zhang
2026CliCARE: Grounding Large Language Models in Clinical Guidelines for Decision Support over Longitudinal Cancer Electronic Health Records.
Dongchen Li, Jitao Liang, Wei Li, Xiaoyu Wang, Longbing Cao, Kun Yu
2026Client-level Active Error Correction in Distributed Learning.
Kwang In Kim
2026Clinician-in-the-Loop Smart Home System to Detect Urinary Tract Infection Flare-Ups via Uncertainty-Aware Decision Support.
Chibuike E. Ugwu, Roschelle Fritz, Diane J. Cook, Jana Doppa
2026Cliqueformer: Model-Based Optimization with Structured Transformers.
Jakub Grudzien Kuba, Pieter Abbeel, Sergey Levine
2026Closer to Biological Mechanism: Drug-Drug Interaction Prediction from the Perspective of Pharmacophore.
Mingliang Dou, Linfeng Wen, Jinyang Xie, Jijun Tang, Shiqiang Ma, Fei Guo
2026CloserToMe: A Unified Framework for Accurate and Transferable Latency Prediction Across Heterogeneous Devices.
Cheng Tang, Guochong Sui, Wenqi Lou, Zihan Wang, Jiayi Tuo, Wenqian Xie, Yinkang Gao, Yixuan Zhu, Lei Gong, Chao Wang, Xuehai Zhou
2026CloudMamba: Grouped Selective State Spaces for Point Cloud Analysis.
Kanglin Qu, Pan Gao, Qun Dai, Zhanzhi Ye, Rui Ye, Yuanhao Sun
2026CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing.
Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu
2026Clustering with Self-Learned Graph Regression.
Lai Wei, Jin Liu
2026Co-Designing Unplugged Learning Activities with K-2 Teachers for Early AI Literacy Education.
Jessica Vandenberg, Keisha Bailey, Claire Aguiar, Cecilia Xuning Zhang, Danny Schmidt, Treshonda Rutledge, Bradford W. Mott, Joseph P. Wilson
2026Co-EPG: A Framework for Co-Evolution of Planning and Grounding in Autonomous GUI Agents.
Yuan Zhao, Hualei Zhu, Tingyu Jiang, Shen Li, Xiaohang Xu, Hao Henry Wang
2026Co-Layout: LLM-driven Co-optimization for Interior Layout.
Chucheng Xiang, Ruchao Bao, Biyin Feng, Wenzheng Wu, Zhongyuan Liu, Yirui Guan, Ligang Liu
2026CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction.
Tianle Pu, Jianing Li, Yingying Gao, Shixuan Liu, Zijie Geng, Haoyang Liu, Chao Chen, Changjun Fan
2026CoCoLIT: ControlNet-Conditioned Latent Image Translation for MRI to Amyloid PET Synthesis.
Alec Sargood, Lemuel Puglisi, James H. Cole, Neil P. Oxtoby, Daniele Ravì, Daniel C. Alexander
2026CoEvo: Continual Evolution of Symbolic Solutions Using Large Language Models.
Ping Guo, Qingfu Zhang, Xi Lin
2026CoEvoer: Collaborative Evolution Transformer for Upper-Body Expressive Human Pose and Shape Estimation.
Yuxiang Zhao, Wei Huang, Yujie Song, Liu Wang, Huan Zhao
2026CoFact: Dynamic Coordination of Attention Heads for Improving Factual Consistency in LLMs.
Shike Li, Xiaokai Wang, Xiaofeng Liu, Xin Tong, Hu Zhang
2026CoGenSAM: Codebook-Interactive Generative Labeling for Adapting SAM to Crack Segmentation.
Zhuangzhuang Chen, Nuo Chen, Dachong Li, Zhiliang Lin, Xingyu Feng, Yifan Zhang, Jie Chen, Jianqiang Li
2026CoGrad3D: Spatially-Coupled Timestep Optimization with Orthogonal Gradient Fusion for 3D Generation.
Haoyang Tong, Hongbo Wang, Jin Liu, Qi Wang, Jie Cao, Ran He
2026CoLM: Collaborative Large Models via a Client-Server Paradigm.
Siqi Huang, Sida Huang, Hongyuan Zhang
2026CoMA-SLAM: Collaborative Multi-Agent Gaussian SLAM with Geometric Consistency.
Lin Chen, Yongxin Su, Jvboxi Wang, Pengcheng Han, Zhenyu Xia, Shuhui Bu, Kun Li, Boni Hu, Shengqi Meng, Guangming Wang
2026CoMA: Compositional Human Motion Generation with Multi-modal Agents.
Shanlin Sun, Jiaqi Xu, Gabriel de Araujo, Shenghan Zhou, Hanwen Zhang, Ziheng Huang, Chenyu You, Xiaohui Xie
2026CoRA: A Collaborative Robust Architecture with Hybrid Fusion for Efficient Perception.
Gong Chen, Chaokun Zhang, Pengcheng Lv, Xiaohui Xie
2026CoRE-Learning with Look-Ahead and Immediate Resource Allocation.
Jing Wang, Xi-Tong Liu, Zhi-Hua Zhou
2026CoRe-Fed: Bridging Collaborative and Representation Fairness via Federated Embedding Distillation.
Noorain Mukhtiar, Adnan Mahmood, Quan Z. Sheng
2026CoS: Towards Optimal Event Scheduling via Chain-of-Scheduling.
Yiming Zhao, Jiwei Tang, Shimin Di, Libin Zheng, Jianxing Yu, Jian Yin
2026CoSPED: Consistent Soft Prompt Targeted Data Extraction and Defense.
Zhuochen Yang, Kar-Wai Fok, Vrizlynn L. L. Thing
2026CoT-VLNBench: A Benchmark for Visual Chain-of-Thought Reasoning in Vision-Language-Navigation Robots.
Xiao Zhao, Chang Liu, Ruiteng Ji, Zheyuan Zhang, Mingxu Zhu, Linna Song, Zhe Ren, Qingliang Luo, Yuhang Gao, Zhaolong Du, Chufan Guo, Kuifeng Su
2026Coarse-to-Fine Open-Set Graph Node Classification with Large Language Models.
Xueqi Ma, Xingjun Ma, Sarah Monazam Erfani, Danilo P. Mandic, James Bailey
2026Codebook-Centric Deep Hashing: End-to-End Joint Learning of Semantic Hash Centers and Neural Hash Function.
Shuo Yin, Zhiyuan Yin, Yuqing Hou, Rui Liu, Yong Chen, Dell Zhang
2026Codebook-Empowered Analysis-Friendly Extreme Underwater Image Compression.
Jianhao Wu, Yudong Mao, Qiuping Jiang
2026Cog-RAG: Cognitive-Inspired Dual-Hypergraph with Theme Alignment Retrieval-Augmented Generation.
Hao Hu, Yifan Feng, Ruoxue Li, Rundong Xue, Xingliang Hou, Zhiqiang Tian, Yue Gao, Shaoyi Du
2026CogStream: Context-guided Streaming Video Question Answering.
Zicheng Zhao, Kangyu Wang, Shijie Li, Rui Qian, Weiyao Lin, Huabin Liu
2026CogniTrust: Cognitive Memory-Driven Verifiable Supervision for Robust Hashing.
Yiyang Gu, Bohan Wu, Yifang Qin, Jiaru Tang, Rong-Cheng Tu, Zhiping Xiao, Taian Guo, Junyu Luo, Wei Ju, Xiao Luo, Dacheng Tao, Ming Zhang
2026Cognitive Enhancement Chain-of-Thought Towards Enhancing Style Learning and Content Preservation for Long Style Transfer.
Lianwei Wu, Botao Wang, Wenbo An, Tieqiao Li, Xianghua Li
2026CoherenDream: Boosting Holistic Text Coherence in 3D Generation via Multimodal Large Language Models Feedback.
Chenhan Jiang, Yihan Zeng, Dit-Yan Yeung
2026Collaborative Dual Representations for Semi-Supervised Partial Label Learning.
Wei-Xuan Bao, Yong Rui, Min-Ling Zhang
2026Collaborative Enhancement of Large and Small Models for Question Answering via Dual Knowledge Transfer.
Shaofei Wang, Yunan Liu, Xiaolan Tang, Wenlong Chen
2026Collaborative Feature Matching with Progressive Correspondence Learning.
Xin Liu, Yanbing Han, Rong Qin, Bing Wang, Jufeng Yang
2026Collaborative LLM Numerical Reasoning with Local Data Protection.
Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang
2026Collaborative Representation Learning for Alignment of Tactile, Language, and Vision Modalities.
Yiyun Zhou, Mingjing Xu, Jingwei Shi, Quanjiang Li, Jingyuan Chen
2026Collaborative Transformers with Multi-Level Forensic Attention for Image Manipulation Localization.
Jiwei Zhang, Wenbo Feng, Siwei Wang, Feifei Kou, Haoyang Yu, Shaozhang Niu
2026Collaboratively "Copy & Paste" 2D-3D Features for Complex Video-to-Video Motion Editing.
Jia-Xing Zhong, Shijie Zhao, Junlin Li, Li Zhang
2026Colonel Blotto with Battlefield Games.
Salam Afiouni, Jakub Cerný, Chun Kai Ling, Christian Kroer
2026ComLQ: Benchmarking Complex Logical Queries in Information Retrieval.
Ganlin Xu, Zhitao Yin, Linghao Zhang, Jiaqing Liang, Weijia Lu, Xiaodong Zhang, Zhifei Yang, Sihang Jiang, Deqing Yang
2026Combining LLM Semantic Reasoning with GNN Structural Modeling for Multi-View Multi-Label Feature Selection.
Zhiqi Chen, Yuzhou Liu, Jiarui Liu, Wanfu Gao
2026CometNet: Contextual Motif-guided Long-term Time Series Forecasting.
Weixu Wang, Xiaobo Zhou, Xin Qiao, Lei Wang, Tie Qiu
2026CommitMoE: Efficient Fallback-Free MoE Inference with Offloading Under GPU Memory Constraints.
Han Li, Jingwei Sun, Junqing Lin, Guangzhong Sun
2026Commonality in Few: Few-Shot Multimodal Anomaly Detection via Hypergraph-Enhanced Memory.
Yuxuan Lin, Hanjing Yan, Xuan Tong, Yang Chang, Huanzhen Wang, Ziheng Zhou, Shuyong Gao, Yan Wang, Wenqiang Zhang
2026Communication-Efficient Heterogeneous Federated Learning with Sparse Prototypes in Resource-Constrained Environments.
Gyuejeong Lee, Daeyoung Choi
2026Communication-efficient Multi-Agent Reinforcement Learning with Spatiotemporal Information Hub.
Ling Ding, Tianbai Lyu, Zhiliang Bi, Hao Wang, Shanshan Feng, Wei Yu
2026ComoRAG: A Cognitive-Inspired Memory-Organized RAG for Stateful Long Narrative Reasoning.
Juyuan Wang, Rongchen Zhao, Wei Wei, Yufeng Wang, Mo Yu, Jie Zhou, Jin Xu, Liyan Xu
2026CompEvent: Complex-valued Event-RGB Fusion for Low-light Video Enhancement and Deblurring.
Mingchen Zhong, Xin Lu, Dong Liu, Senyan Xu, Ruixuan Jiang, Xueyang Fu, Baocai Yin
2026CompRestacking: Capturing Channel Dependency in Highly Correlated Multivariate Time Series Data (Student Abstract).
Min Kim, Ohyun Jo
2026CompTrack: Information Bottleneck-Guided Low-Rank Dynamic Token Compression for Point Cloud Tracking.
Sifan Zhou, Yichao Cao, Jiahao Nie, Yuqian Fu, Ziyu Zhao, Xiaobo Lu, Shuo Wang
2026Compensate to Not Deviate: On Subsidised Equilibria.
Vittorio Bilò, Gianpiero Monaco, Luca Moscardelli
2026Compensating Distribution Drifts in Continual Learning with Pre-trained Vision Transformers.
Xuan Rao, Simian Xu, Zheng Li, Bo Zhao, Derong Liu, Mingming Ha, Cesare Alippi
2026Complex Instruction Following with Diverse Style Policies in Football Games.
Chenglu Sun, Shuo Shen, Haonan Hu, Wei Zhou, Chen Chen
2026Complex Mathematical Expression Recognition: Benchmark, Large-Scale Dataset and Strong Baseline.
Weikang Bai, Yongkun Du, Yuchen Su, Yazhen Xie, Zhineng Chen
2026Complex Reasoning over Vision and Language -Leveraging Neurosymbolic AI.
Parisa Kordjamshidi
2026Composable Assurance for AI Alignment: A Framework for Propagating Formal Safety Properties Through MLOps.
Xiaofei Zhao
2026Composition-Incremental Learning for Compositional Generalization.
Zhen Li, Yuwei Wu, Chenchen Jing, Che Sun, Chuanhao Li, Yunde Jia
2026Compositional Attribute Imbalance in Vision Datasets.
Yanbiao Ma, Jiayi Chen, Wei Dai, Dong Zhao, Zeyu Zhang, Yuting Yang, Bowei Liu, Jiaxuan Zhao, Andi Zhang
2026Comprehensive Urban Region Representation Learning via Multi-View Joint Learning and Contrastive Learning.
Yingde Lin, Yuanbo Xu, Lu Jiang, Pengyang Wang
2026Compress-then-Rank: Faster and Better Listwise Reranking with Large Language Models via Ranking-Aware Passage Compression.
Zhewei Zhi, Yingyi Zhang, Yizhen Jing, Xianneng Li, Jianing Liu, Huajie Liu, Yongliang Ding
2026Compression Artifacts Removal for VVC with Frequency Domain Mixture of Experts Network.
Qijun Wang, Kang Wang, Jun Wang
2026Computer Vision Modeling of the Development of Geometric and Numerical Concepts in Humans.
Zekun Wang, Sashank Varma
2026Computing Approximately Proportional Allocations of Indivisible Goods: Beyond Additive and Monotone Valuations.
Martin Jupakkal Andersen, Ioannis Caragiannis, Anders Bo Ipsen, Alexander Søltoft
2026Computing Equilibrium Nominations in Presidential Elections.
Piotr Faliszewski, Stanislaw Kazmierowski, Grzegorz Lisowski, Ildikó Schlotter, Paolo Turrini
2026Computing Probabilistic Explanations for ML Models: Fixed-Parameter Algorithms.
Sebastian Ordyniak, Mateusz Rychlicki, Stefan Szeider
2026Computing Syntax Tree-based Minimal Unsatisfiable Cores of LTLf Formulas.
Valeria Fionda, Antonio Ielo, Francesco Ricca
2026ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions.
Xingwei He, Qianru Zhang, Pengfei Chen, Guanhua Chen, Linlin Yu, Yuan Yuan, Siu-Ming Yiu
2026ConSurv: Multimodal Continual Learning for Survival Analysis.
Dianzhi Yu, Conghao Xiong, Yankai Chen, Wenqian Cui, Xinni Zhang, Yifei Zhang, Hao Chen, Joseph J. Y. Sung, Irwin King
2026Concept-RuleNet: Grounded Multi-Agent Neurosymbolic Reasoning in Vision Language Models.
Sanchit Sinha, Guangzhi Xiong, Zhenghao He, Aidong Zhang
2026Concepts from Representations: Post-hoc Concept Bottleneck Models via Sparse Decomposition of Visual Representations.
Shizhan Gong, Xiaofan Zhang, Qi Dou
2026Conceptualisation and Implementation of Human-centric Privacy Preserving Framework for Explainable AI.
Sonal Allana
2026CondDiff-AMO: Integrating Conditional Diffusion Mechanism for Unified Amodal Mask Generation.
Caijie Zhao, Bob Zhang
2026Condensed Data Expansion Using Model Inversion for Knowledge Distillation.
Kuluhan Binici, Shivam Aggarwal, Cihan Acar, Nam Trung Pham, Karianto Leman, Gim Hee Lee, Tulika Mitra
2026Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition.
Yanda Zhu, Yuanyang Zhu, Daoyi Dong, Caihua Chen, Chunlin Chen
2026Conditional Distribution Learning for Graph Classification.
Jie Chen, Hua Mao, Chuanbin Liu, Zhu Wang, Xi Peng
2026Conditional Information Bottleneck for Multimodal Fusion: Overcoming Shortcut Learning in Sarcasm Detection.
Yihua Wang, Qi Jia, Cong Xu, Feiyu Chen, Yuhan Liu, Haotian Zhang, Liang Jin, Lu Liu, Zhichun Wang
2026Conditional Probabilistic Bipolar Argumentation Framework: Explanations, Complexity and Approximation.
Gianvincenzo Alfano, Sergio Greco, Domenico Mandaglio, Francesco Parisi, Irina Trubitsyna
2026Conditional Prompt Learning via Degradation Perception for Underwater Image Enhancement.
Mingze Yao, Zhiying Jiang, Xianping Fu, Huibing Wang
2026ConfGuard: A Simple and Effective Backdoor Detection for Large Language Models.
Zihan Wang, Rui Zhang, Hongwei Li, Wenshu Fan, Wenbo Jiang, Qingchuan Zhao, Guowen Xu
2026Confidence Estimation for Text-to-SQL in Large Language Models.
Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei
2026Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning.
Sangmook Lee, Dohyung Kim, Hyukhun Koh, Nakyeong Yang, Kyomin Jung
2026Confirmation Bias: A Challenge for Scalable Oversight.
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon, Mridul Sharma, Callum Canavan, Dylan Epstein-Gross, Muhammed Abdulbari
2026Conformable Convolution for Topologically Constrained Learning of Complex Anatomical Structures.
Yousef Yeganeh, Goktug Guvercin, Nassir Navab, Azade Farshad
2026Conformal Constrained Policy Optimization for Cost-Effective LLM Agents.
Wenwen Si, Sooyong Jang, Insup Lee, Osbert Bastani
2026Conformal Prediction Meets Long-tail Classification.
Shuqi Liu, Jianguo Huang, Luke Ong
2026Conformal Prediction for Multi-Source Detection on a Network.
Xingchao Jian, Purui Zhang, Lan Tian, Feng Ji, Wenfei Liang, Wee Peng Tay, Bihan Wen, Felix Krahmer
2026Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning.
Liqin Luo, Guangyao Chen, Xiawu Zheng, Yongxing Dai, Yixiong Zou, Yonghong Tian
2026Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency.
Rongqin Chen, Fan Mo, Pak Lon Ip, Shenghui Zhang, Dan Wu, Ye Li, Leong Hou U
2026Consensus Learning with Multi-Party Perturbation Triggers for Secure Model Access.
Yizhun Zhang, Jie Huang, Zeping Zhang, Shuaishuai Zhang, Changhao Ding, Xuan Chen
2026Consensus-Aligned Neuron Efficient Fine-Tuning Large Language Models for Multi-Domain Machine Translation.
Shuting Jiang, Ran Song, Yuxin Huang, Yan Xiang, Yantuan Xian, Shengxiang Gao, Zhengtao Yu
2026Consensus-Driven Multi-Agent Cognitive Reasoning for Enhancing the Emotional Intelligence of Large Language Models.
Geng Tu, Dingming Li, Jun Huang, Ruifeng Xu
2026ConsistTalk: Intensity Controllable Temporally Consistent Talking Head Generation with Diffusion Noise Search.
Zhenjie Liu, Jianzhang Lu, Renjie Lu, Cong Liang, Shangfei Wang
2026Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments.
Mario A. Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo I. Simari
2026Constrained Best Arm Identification with Tests for Feasibility.
Ting Cai, Kirthevasan Kandasamy
2026Constrained Molecule Generation Modelled Using the Grammar Constraint.
David Saikali, Gilles Pesant
2026Constrained Online Convex Optimization with Memory and Predictions.
Mohammed Abdullah, George Iosifidis, Salah-Eddine Elayoubi, Tijani Chahed
2026Constrained Particle Seeking: Solving Diffusion Inverse Problems with Just Forward Passes.
Hongkun Dou, Zike Chen, Zeyu Li, Hongjue Li, Lijun Yang, Yue Deng
2026Constrained and Robust Policy Synthesis with Satisfiability-Modulo-Probabilistic-Model-Checking.
Linus Heck, Filip Macák, Milan Ceska, Sebastian Junges
2026Constraint Optimization of MicroPlate Designs.
Ramiz Gindullin, María Andreína Francisco Rodríguez
2026Constraint-Augmented Mongolian-Chinese Neural Machine Translation Based on Dynamic Feedback Alignment (Student Abstract).
Shuting Dai, Yatu Ji, Yanli Wang, Lei Shi, Qing-dao-er-ji Ren, Nier Wu, Na Liu
2026Constraint-Guided Clustering for Identifying in-Vehicle Electronic Control Units from Voltage Data.
Bogdan Groza, Patricia Iosif, Lucian Popa
2026Constraints-Guided Diffusion Reasoner for Neuro-Symbolic Learning.
Xuan Zhang, Zhijian Zhou, Weidi Xu, Yanting Miao, Chao Qu, Yuan Qi
2026ConstructAI: From Real-Time Safety Insight to Skill Growth in Deployed Construction AI Systems.
Gaowei Zhang, Wei Wang, Lee Kong Tiong, Kai Xing, Huan Li, Yi Wang
2026Constructing Superior Representations Beyond the Original Documents via a Contrastive Gaussian Fusion Network for Clustering.
Ao Shen, Ruizhang Huang, Jingjing Xue, Ruina Bai
2026Content Diversity-guided Ambiguity Mitigation for Open-Set Noisy Label Learning.
Zhihao Zhou, Rui Li, Xueying Li
2026Content-aware Information Compression and Selection for Whole Slide Image Analysis.
Tingting Zheng, Hongxun Yao, Sicheng Zhao, Yi Xiao
2026Context Selection and Rewriting for Video-based Educational Question Generation.
Mengxia Yu, Bang Nguyen, Olivia Zino, Meng Jiang
2026Context-Aware Diffusion for Telemetry Time Series with Permutation-Stable Feature Modeling (Student Abstract).
Giovanni B. Esposito, Daniele Cesarini, Andrea Bartolini
2026Context-Sensitive Abstractions for Reinforcement Learning with Parameterized Actions.
Rashmeet Kaur Nayyar, Naman Shah, Siddharth Srivastava
2026Context-aware Dynamic Contrastive Learning Network and E-Bike Rider Benchmark for Person Search.
Hongchao Li, Chengcheng Li, Xixi Wang, Yonglong Luo
2026Context-aware Graph Meta-learning.
Ningbo Huang, Gang Zhou, Meng Zhang, Shunhang Li, Ling Wang, Shiyu Wang, Yi Xia
2026ContextFlow: Training-Free Video Object Editing via Adaptive Context Enrichment.
Yiyang Chen, Xuanhua He, Xiujun Ma, Jack Ma
2026ContextGraph: Lifelog Intelligence Framework for Contextual Subgraph Evolution.
Anil Sharma, Gunturi Venkata Sai Phani Kiran, Jayesh Rajkumar Vachhani, Sourabh Vasant Gothe, Ayon Chattopadhyay, Yashwant Saini, Parameswaranath Vadackupurath Mani, Barath Raj Kandur Raja
2026Continual Out-of-Distribution Detection with Analytic Neural Collapse.
Saleh Momeni, Changnan Xiao, Bing Liu
2026Continuous Degradation Modeling via Latent Flow Matching for Real-World Super-Resolution.
Hyeonjae Kim, Dongjin Kim, Eugene Jin, Tae Hyun Kim
2026Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning.
Xiuxiu Qi, Yu Yang, Jiannong Cao, Luyao Bai, Chongshan Fan, Chengtai Cao, Hongpeng Wang
2026Continuum Dropout for Neural Differential Equations.
Jonghun Lee, YongKyung Oh, Sungil Kim, Dong-Young Lim
2026Contribution-aware Token Compression for Efficient Video Understanding via Reinforcement Learning.
Yinchao Ma, Qiang Zhou, Zhibin Wang, Xianing Chen, Hanqing Yang, Jun Song, Bo Zheng
2026Control Illusion: The Failure of Instruction Hierarchies in Large Language Models.
Yilin Geng, Haonan Li, Honglin Mu, Xudong Han, Timothy Baldwin, Omri Abend, Eduard H. Hovy, Lea Frermann
2026ControlFuse: Instruction-guided Multi-Granularity Controllable Image Fusion.
Libo Zhao, Xiaoli Zhang, Zeyu Wang
2026Controllable Epistemic Sensitivity in Large Language Models: Probing, Benchmarking, and Adaptive Reasoning.
Srivarshinee S.
2026Controllable Financial Market Generation with Diffusion Guided Meta Agent.
Yu-Hao Huang, Chang Xu, Yang Liu, Weiqing Liu, Wu-Jun Li, Jiang Bian
2026ConvMix: A Mixed-Criteria Data Augmentation Framework for Conversational Dense Retrieval.
Fengran Mo, Jinghan Zhang, Yuchen Hui, Jia Ao Sun, Zhichao Xu, Zhan Su, Jian-Yun Nie
2026Convergence of Fast Policy Iteration in Markov Games and Robust MDPs.
Keith Badger, Jefferson Huang, Marek Petrik
2026Convergent Semantics for Weighted Bipolar Argumentation.
Zongshun Wang, Yuping Shen
2026Conversational AI for Social Good (CAI4SG): An Overview of Emerging Trends, Applications, and Challenges.
Yi-Chieh Lee, Junti Zhang, Tianqi Song, Yugin Tan
2026Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning.
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026Convex Clustering Redefined: Robust Learning with the Median of Means Estimator.
Koustav Chowdhury, Bibhabasu Mandal, Sourav De, Sagar Ghosh, Swagatam Das, Debolina Paul, Saptarshi Chakraborty
2026Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution.
Dingkang Liang, Cheng Zhang, Xiaopeng Xu, Jianzhong Ju, Zhenbo Luo, Xiang Bai
2026Cooperative Graph Transformer with Structural Consensus for Multi-View Learning.
Zhiyuan Lai, Jiacheng Li, Jiayuan Wang, Shiping Wang
2026CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation.
Dexin Zuo, Ang Li, Wei Wang, Wenxian Yu, Danping Zou
2026Coordinated Humanoid Robot Locomotion with Symmetry Equivariant Reinforcement Learning Policy.
Buqing Nie, Yang Zhang, Rongjun Jin, Zhanxiang Cao, Huangxuan Lin, Xiaokang Yang, Yue Gao
2026Copyright Infringement Detection in Text-to-Image Diffusion Models via Differential Privacy.
Xiafeng Man, Zhipeng Wei, Jingjing Chen
2026CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving.
Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu
2026CorrectNav: Self-Correction Flywheel Empowers Vision-Language-Action Navigation Model.
Zhuoyuan Yu, Yuxing Long, Zihan Yang, Chengyan Zeng, Hongwei Fan, Jiyao Zhang, Hao Dong
2026Correcting False Alarms from Unseen: Adapting Graph Anomaly Detectors at Test Time.
Junjun Pan, Yixin Liu, Chuan Zhou, Fei Xiong, Alan Wee-Chung Liew, Shirui Pan
2026Correcting Quantization-Induced Gradient Mismatch in Neural Image Compression.
Changhao Peng, Yuqi Ye, Wei Gao
2026Correspondence Coverage Matters for Multi-Modal Dataset Distillation.
Zhuohang Dang, Minnan Luo, Chengyou Jia, Hangwei Qian, Xinyu Zhang, Xiaojun Chang, Ivor W. Tsang
2026Cost-Effective Communication: An Auction-based Method for Language Agent Interaction.
Yijia Fan, Jusheng Zhang, Kaitong Cai, Jing Yang, Chengpei Tang, Jian Wang, Keze Wang
2026Cost-Free Neutrality for the River Method.
Michelle Döring, Jannes Malanowski, Stefan Neubert
2026Cost-Minimized Label-Flipping Poisoning Attack to LLM Alignment.
Shigeki Kusaka, Keita Saito, Mikoto Kudo, Takumi Tanabe, Akifumi Wachi, Youhei Akimoto
2026Cost-Sensitive Conformal Training with Provably Controllable Learning Bounds.
Xuesong Jia, Yuanjie Shi, Ziquan Liu, Yi Xu, Yan Yan
2026CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models.
Yuefei Chen, Vivek K. Singh, Jing Ma, Ruixiang Tang
2026Counterfactual Fairness with Imperfect Causal Graphs.
Cong Su, Qiaoyu Tan, Carlotta Domeniconi, Lizhen Cui, Jun Wang, Guoxian Yu
2026Counterfactual Planning for Generalizable Agents' Actions.
Jiarun Fu, Lizhong Ding, Qiuning Wei, Yuhan Guo, Yurong Cheng, Junyu Zhang
2026Counterfactual Question Generation Uncovering Learner Contradictions.
Bo Zhang, Hao Yu, Wenjie Dong, Yvhang Yang, Dezhuang Miao, Fengyi Song, Yanhui Gu, Xiaoming Zhang, Junsheng Zhou
2026Counterfactual eXplainable AI (XAI) Method for Deep Learning-Based Multivariate Time Series Classification.
Alan G. Paredes Cetina, Kaouther Benguessoum, Raoni Lourenço, Sylvain Kubler
2026Counterfactual-Driven Zero-Shot Classifier Expansion.
Xiangyu Wang, Yanze Gao, Changxin Rong, Lyuzhou Chen, Derui Lyu, Xiren Zhou, Taiyu Ban, Huanhuan Chen
2026Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction.
Qibin Li, Shengyuan Bai, Nai Zhou, Nianmin Yao
2026Covariance Scattering Transforms.
Andrea Cavallo, Ayushman Raghuvanshi, Sundeep Prabhakar Chepuri, Elvin Isufi
2026Coverage-Constrained Human-AI Cooperation with Multiple Experts.
Zheng Zhang, Cuong C. Nguyen, Kevin Wells, Thanh-Toan Do, David Rosewarne, Gustavo Carneiro
2026CreBench: Human-Aligned Creativity Evaluation from Idea to Process to Product.
Kaiwen Xue, Chenglong Li, Zhonghong Ou, Guoxin Zhang, Kaoyan Lu, Shuai Lyu, Yifan Zhu, Ping Zong, Junpeng Ding, Xinyu Liu, Qunlin Chen, Weiwei Qin, Yiran Shen, Jiayi Cen
2026Creating Blank Canvas Against AI-enabled Image Forgery.
Qi Song, Ziyuan Luo, Renjie Wan
2026Creating Generalizable Data-Driven Approaches for Biodiversity Monitoring via Acoustics.
Thomas Napier
2026Credal Ensemble Distillation for Uncertainty Quantification.
Kaizheng Wang, Fabio Cuzzolin, David Moens, Hans Hallez
2026CroPS: Improving Dense Retrieval with Cross-Perspective Positive Samples in Short-Video Search.
Ao Xie, Jiahui Chen, Quanzhi Zhu, Xiaoze Jiang, Zhiheng Qin, Enyun Yu, Han Li
2026Cross Modal Fine-grained Alignment via Granularity-aware and Region-uncertain Modeling.
Jiale Liu, Haoming Zhou, Yishu Liu, Bingzhi Chen, Yuncheng Jiang
2026Cross-Domain Few-Shot Learning via Multi-View Collaborative Optimization with Vision-Language Models.
Dexia Chen, Wentao Zhang, Qianjie Zhu, Ping Hu, Weibing Li, Tong Zhang, Ruixuan Wang
2026Cross-Field Interface-Aware Neural Operators for Multiphase Flow Simulation.
Zhenzhong Wang, Xin Zhang, Jun Liao, Min Jiang
2026Cross-Granularity Hypergraph Retrieval-Augmented Generation for Multi-hop Question Answering.
Changjian Wang, Weihong Deng, Weili Guan, Quan Lu, Ning Jiang
2026Cross-Modal Knowledge Transfer in Time Series AI via Large Vision Models.
Jingchao Ni
2026Cross-Modal Unlearning via Influential Neuron Path Editing in Multimodal Large Language Models.
Kunhao Li, Wenhao Li, Di Wu, Lei Yang, Jun Bai, Ju Jia, Jason Xue
2026Cross-Sample Augmented Test-Time Adaptation for Personalized Intraoperative Hypotension Prediction.
Kanxue Li, Yibing Zhan, Hua Jin, Chongchong Qi, Xu Lin, Baosheng Yu
2026Cross-Scale Collaboration between LLMs and Lightweight Sequential Recommenders with Domain-Specific Latent Reasoning.
Yipeng Zhang, Xin Wang, Hong Chen, Junwei Pan, Qian Li, Jun Zhang, Jie Jiang, Hong Mei, Wenwu Zhu
2026Cross-Space Synergy: A Unified Framework for Multimodal Emotion Recognition in Conversation.
Xiaosen Lyu, Jiayu Xiong, Yuren Chen, Wanlong Wang, Xiaoqing Dai, Jing Wang
2026Cross-View Progressive Feature Filtering for Multi-View Graph Clustering in Remote Sensing.
Bowen Liu, Xin Peng, Wenxuan Tu, Chengyao Wei, Xiangyan Tang, Jieren Cheng, Miao Yu
2026Cross-domain Joint Learning with Prototype-guided Mixture-of-Experts for Infrared Moving Small Target Detection.
Weiwei Duan, Luping Ji, Jianghong Huang, Sicheng Zhu, Mao Ye
2026Cross-modal Prompting for Balanced Incomplete Multi-modal Emotion Recognition.
Wenjue He, Xiaofeng Zhu, Zheng Zhang
2026Cross-modal Proxy Evolving for OOD Detection with Vision-Language Models.
Hao Tang, Yu Liu, Shuanglin Yan, Fei Shen, Shengfeng He, Jing Qin
2026Cross-temporal 3D Gaussian Splatting for Sparse-view Guided Scene Update.
Zeyuan An, Yanghang Xiao, Zhiying Leng, Frederick W. B. Li, Xiaohui Liang
2026Cross-view Anchor Graph Learning and Factorization for Incomplete Multi-view Clustering.
Xinxin Wang, Yongshan Zhang, Xiaochen Yuan, Yicong Zhou
2026CrossCheck-Bench: Diagnosing Compositional Failures in Multimodal Conflict Resolution.
Baoliang Tian, Yuxuan Si, Jilong Wang, Lingyao Li, Zhongyuan Bao, Zineng Zhou, Tao Wang, Sixu Li, Ziyao Xu, Mingze Wang, Zhouzhuo Zhang, Zhihao Wang, Yike Yun, Ke Tian, Ning Yang, Minghui Qiu
2026CrossCut: Cross-Patch Aware Interactive Segmentation for Remote Sensing Images.
Zheng Lin, Nan Zhou, Yuhan Wang, Bojian Zhang
2026CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models.
Jingyao Li, Jingyun Wang, Molin Tan, Haochen Wang, Cilin Yan, Likun Shi, Jiayin Cai, Xiaolong Jiang, Yao Hu
2026Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation.
Sofia Jamil, Kotla Sai Charan, Sriparna Saha, Koustava Goswami, K. J. Joseph
2026CrystalDiT: Simple Diffusion Transformers for Crystal Generation.
Xiaohan Yi, Guikun Xu, Zhong Zhang, Liu Liu, Yatao Bian, Xi Xiao, Peilin Zhao
2026CtoD-MAT: Bridging Centralized and Decentralized Execution in Multi-Agent Reinforcement Learning (Student Abstract).
Shota Takayama, Katsuhide Fujita
2026CtrlFuse: Mask-Prompt Guided Controllable Infrared and Visible Image Fusion.
Yiming Sun, Yuan Ruan, Qinghua Hu, Pengfei Zhu
2026Cubing for Tuning.
Haoze Wu, Clark W. Barrett, Nina Narodytska
2026CueBench: Advancing Unified Understanding of Context-Aware Video Anomalies in Real-World.
Yating Yu, Congqi Cao, Zhaoying Wang, Weihua Meng, Jie Li, Yuxin Li, Zihao Wei, Zhongpei Shen, Jiajun Zhang
2026Cueing Without Gapping: Cuer-Independent Cued Speech Recognition Powered by Cross-Cuer Invariant Modeling.
Fengji Ma, Chenxing Li, Li Liu
2026Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping.
Joan Nwatu, Longju Bai, Oana Ignat, Rada Mihalcea
2026CultureRL: Internalizing Cultural Principles in Large Language Models via Norm-Driven Reinforcement Learning.
Weixiang Zhao, Haozhen Li, Yanyan Zhao, Haixiao Liu, Biye Li, Ting Liu, Bing Qin
2026Cumulant Attention in Vision Transformers (Student Abstract).
Yuto Morimoto, Zhipeng Wang, Koji Yasuda
2026CyC3D: Fine-grained Controllable 3D Generation via Cycle Consistency Regularization.
Hongbin Xu, Chaohui Yu, Feng Xiao, Jiazheng Xing, Hai Ci, Weitao Chen, Fan Wang, Ming Li
2026CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation.
Chenchen Kuai, Chenhao Wu, Yang Zhou, Xiubin Bruce Wang, Tianbao Yang, Zhengzhong Tu, Zihao Li, Yunlong Zhang
2026CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery.
Hou Hei Lam, Jiangjie Qiu, Xiuyuan Hu, Wentao Li, Fankun Zeng, Siwei Fu, Hao Zhang, Xiaonan Wang
2026Cylindrical Lattice Embedding for Program Induction.
Jinseo Shim
2026Cyto-SSL: A Self-Supervised Pretraining Framework for Cytology Foundation Model.
Yiming Zhang, Rui Yan, Xiaohua Wan, Yifan Zhao, Shuang Feng, Zhetao Xu, Ying Wang, Fa Zhang, Bin Hu
2026C³TG: Conflict-aware, Composite, and Collaborative Controlled Text Generation.
Yu Li, Zhe Yang, Yi Huang, Xin Liu, Guilin Qi
2026D-FCGS: Feedforward Compression of Dynamic Gaussian Splatting for Free-Viewpoint Videos.
Wenkang Zhang, Yan Zhao, Qiang Wang, Zhixin Xu, Li Song, Zhengxue Cheng
2026D-GARA: A Dynamic Benchmarking Framework for GUI Agent Robustness in Real-World Anomalies.
Sen Chen, Tong Zhao, Yi Bin, Fei Ma, Wenqi Shao, Zheng Wang
2026D2 Prune: Sparsifying Large Language Models via Dual Taylor Expansion and Attention Distribution Awareness.
Lang Xiong, Ning Liu, Ao Ren, Yuheng Bai, Haining Fang, Binyan Zhang, Zhe Jiang, Yujuan Tan, Duo Liu
2026D2MoRA: Diversity-Regulated Asymmetric MoE-LoRA Decomposition for Efficient Multi-Task Adaptation.
Jianhui Zuo, Xuemeng Song, Haokun Wen, Meng Liu, Yupeng Hu, Jiuru Wang, Liqiang Nie
2026D3-RSMDE: 40× Faster and High-Fidelity Remote Sensing Monocular Depth Estimation.
Ruizhi Wang, Weihan Li, Zunlei Feng, Haofei Zhang, Mingli Song, Jiayu Wang, Jie Song, Li Sun
2026D3ToM: Decider-Guided Dynamic Token Merging for Accelerating Diffusion MLLMs.
Shuochen Chang, Xiaofeng Zhang, Qingyang Liu, Li Niu
2026DA-DFGAS: Differentiable Federated Graph Neural Architecture Search with Distribution-Aware Attentive Aggregation.
Zhaowei Liu, Yihao Jiang, Rufei Gao, Jinglei Liu, Dong Yang
2026DANCE: Density-agnostic and Class-aware Network for Point Cloud Completion.
Da-Yeong Kim, Yeong-Jun Cho
2026DANS-KGC: Diffusion Based Adaptive Negative Sampling for Knowledge Graph Completion.
Haoning Li, Qinghua Huang
2026DAPE: Harmonizing Content-Position Encoding for Versatile Dense Visual Prediction.
Xiuquan Hou, Meiqin Liu, Senlin Zhang, Shaoyi Du
2026DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion.
Yinghui Li, Qianyu Zhou, Di Shao, Hao Yang, Ye Zhu, Richard Dazeley, Xuequan Lu
2026DAPrompt: Dual Alignment Prompt of Structure and Semantics for Few-shot Graph Learning.
Lifan Jiang, Mengying Zhu, Yangyang Wu, Xuan Liu, Xiaolin Zheng, Shenglin Ben
2026DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification.
Guangkai Wu, Gen Liu, Chao Li, Qingtian Zeng, Hui Zhou, Zhongying Zhao
2026DAVID: Dual-stage Adaptive Vision-text Integrated Decoupling for Multimodal KV Cache Eviction.
Yifeng Gu, Jianxiu Jin, Kailing Guo, Xiangmin Xu
2026DAVSP: Safety Alignment for Large Vision-Language Models via Deep Aligned Visual Safety Prompt.
Yitong Zhang, Jia Li, Liyi Cai, Ge Li
2026DAWN: Distributed LLM Multi-Agent Workflow Synthesis.
Guancheng Wan, Mo Zhou, Ziyi Wang, Xiaoran Shang, Eric Hanchen Jiang, Guibin Zhang, Jinhe Bi, Yunpu Ma, Zaixi Zhang, Ke Liang, Wenke Huang
2026DBGroup: Dual-Branch Point Grouping for Weakly Supervised 3D Semantic Instance Segmentation.
Xuexun Liu, Xiaoxu Xu, Qiudan Zhang, Lin Ma, Xu Wang
2026DC-SPAN: A Dual Contrastive Attention Network for Multi-View Clustering.
Jingyi Chen, Zhibin Dong, Tiejun Li, Yibo Han
2026DCA-LUT: Deep Chromatic Alignment with 5D LUT for Purple Fringing Removal.
Jialang Lu, Shuning Sun, Pu Wang, Chen Wu, Feng Gao, Lina Gong, Dianjie Lu, Guijuan Zhang, Zhuoran Zheng
2026DCAC: Dynamic Class-Aware Cache Creates Stronger Out-of-Distribution Detectors.
Yanqi Wu, Qichao Chen, Runhe Lai, Xinhua Lu, Jia-Xin Zhuang, Zhilin Zhao, Weishi Zheng, Ruixuan Wang
2026DCHO: A Decomposition-Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications.
Weibin Li, Wendu Li, Quanying Liu
2026DCMM-Transformer: Degree-Corrected Mixed-Membership Attention for Medical Imaging.
Huimin Cheng, Xiaowei Yu, Shushan Wu, Luyang Fang, Chao Cao, Jing Zhang, Tianming Liu, Dajiang Zhu, Wenxuan Zhong, Ping Ma
2026DCRNet: Delayed Conversion Modeling Based Personalized Flight Itinerary Ranking Network.
Maolei Huang, Zhuangzhuoran, Detao Lv, Yuantong Li, Shuhan Song, Yao Yu
2026DCTR: Dual-Constraint Subgraph Optimization for Knowledge Graph-based Retrieval-Augmented Generation.
Yukun Cao, Zirui Xu, Dongyang Li, Zhihao Guo, Luobin Huang, Lisheng Wang
2026DDIN: Reinforcement Learning with Asymmetric GNNs for Dismantling Directed Interdependent Networks (Student Abstract).
Soumyajit Dev, Malay Bhattacharyya
2026DEALT: LLM-driven Diversity-Enhanced Data Augmentation for Long-Tail Text Classification.
Wayne Lu, Xiaoxi Cui
2026DECON: Reconstruction of Clothed-Geometric Multiple Humans from a Single Image via Geometry-Guided Decoupling.
Yiming Jiang, Wenfeng Song, Shuai Li, Aimin Hao
2026DEEP: A Discourse Evolution Engine for Predictions About Social Movements.
Valerio La Gatta, Marco Postiglione, Jeremy Gilbert, Daniel W. Linna Jr., Morgan Manella Greenfield, Aaron Shaw, V. S. Subrahmanian
2026DEFANet: Dual-Path Edge-Target Collaboration with Frequency-Aware Enhancement for Infrared Small Target Detection.
Shuaiyuan Du, Yang Xiao, Zhiguo Cao
2026DEGRE: Dynamic Gating Ensembles for Trust-Aware Rejection in Medical Image Diagnostics.
Hong Hai Nguyen, Duong Bach, Nam Phan, Cuong V. Nguyen, Cuong Do
2026DEIG: Detail-Enhanced Instance Generation with Fine-Grained Semantic Control.
Shiyan Du, Conghan Yue, Xinyu Cheng, Dongyu Zhang
2026DEPO: Dual-Efficiency Preference Optimization for LLM Agents.
Sirui Chen, Mengshi Zhao, Lei Xu, Yuying Zhao, Beier Zhu, Hanwang Zhang, Shengjie Zhao, Chaochao Lu
2026DETONATE - A Benchmark for Text-to-Image Alignment and Kernelized Direct Preference Optimization.
Renjith Prasad Kaippilly Mana, Abhilekh Borah, Hasnat Md Abdullah, Chathurangi Shyalika, Gurpreet Singh, Ritvik Garimella, Rajarshi Roy, Harshul Raj Surana, Nasrin Imanpour, Suranjana Trivedy, Amit P. Sheth, Amitava Das
2026DFAgent: From Natural Language Data Interactions to Reusable Agent-Ready Tools.
Neelamadhav Gantayat, Renuka Sindhgatta, Sambit Ghosh, Sameep Mehta, Soujanya Soni
2026DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices.
Afonso Lourenço, João Rodrigo, João Gama, Goreti Marreiros
2026DFMN: A Dual-feet Matching Network with Hybrid Transformer-based Feature Extractor for Unsupervised Deformable Medical Image Registration.
Liwen Li, Xinrui Guo, Wentao Guo, Shunqi Yang, Fumin Guo
2026DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation.
Nengjun Zhu, Lingdan Sun, Qi Zhang, Jian Cao, Hang Yu
2026DGKAN: Dual-branch Graph Kolmogorov-Arnold Network for Unsupervised Multimodal Change Detection.
Tongfei Liu, Jianjian Xu, Tao Lei, Yingbo Wang, Xiaogang Du, Zhiyong Lv
2026DGP: A Dual-Granularity Prompting Framework for Fraud Detection with Graph-Enhanced LLMs.
Yuan Li, Jun Hu, Bryan Hooi, Bingsheng He, Cheng Chen
2026DGSAN: Dual-Graph Spatiotemporal Attention Network for Pulmonary Nodule Malignancy Prediction.
Xiao Yu, Zhaojie Fang, Guanyu Zhou, Yin Shen, Huoling Luo, Ye Li, Ahmed Elazab, Xiang Wan, Ruiquan Ge, Changmiao Wang
2026DGTF: Cross-Domain Decentralized Graph Learning with Topology-Aware Knowledge Fusion.
Ruisheng Zheng, Mingyi Li, Xiao Zhang, Hongjian Shi, Yanjie Fu, Yuan Yuan, Dongxiao Yu
2026DHCM-CACL: Dynamic Hierarchical Cross-modal Mamba with Confidence-Adaptive Contrastive Learning for Multimodal Emotion Recognition.
Baiqiang Wu, Yang Li
2026DHMRec: Collaboration-Guided Multimodal Disentanglement and Hierarchical Fusion for Recommendation.
Xiaohan Zhan, Yuliang Shi, Jihu Wang, Shijun Liu, Fanyu Kong, Zhiyong Chen
2026DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models.
Hao Tian, Sheng Lu, Fuwen Tian, Guangming Cui, Zheng Li, Xuyun Zhang, Quan Z. Sheng, Wanchun Dou
2026DICE: Distilling Classifier-Free Guidance into Text Embeddings.
Zhenyu Zhou, Defang Chen, Can Wang, Chun Chen, Siwei Lyu
2026DIET: Machine Unlearning on a Data-Diet.
Nilakshan Kunananthaseelan, Jing Wu, Trung Le, Gholamreza Haffari, Mehrtash Harandi
2026DIFFA: Large Language Diffusion Models Can Listen and Understand.
Jiaming Zhou, Hongjie Chen, Shiwan Zhao, Jian Kang, Jie Li, Enzhi Wang, Yujie Guo, Haoqin Sun, Hui Wang, Aobo Kong, Yong Qin, Xuelong Li
2026DIFT: Protecting Contrastive Learning Against Data Poisoning Backdoor Attacks.
Jiang Zhu, Yulin Jin, Qingqing Ye, Zhibiao Guo, Kun Fang, Ruochen Du, Yingnan Zhao, Haibo Hu
2026DIMM: Decoupled Multi-hierarchy Kalman Filter via Reinforcement Learning.
Jirong Zha, Yuxuan Fan, Kai Li, Han Li, Chen Gao, Xinlei Chen
2026DIN: Dual Impulse Network for Multi-view Representation Learning.
Yilin Wu, Weihong Lin, Renjie Lin, Zihan Fang, Shide Du, Shiping Wang
2026DINOv3-Powered Multi-Task Foundation Model for Quantitative Remote Sensing Estimation (Student Abstract).
Zhenyu Yu, Mohd Yamani Idna Idris, Pei Wang, Rizwan Qureshi
2026DISC: Dynamic Feature Selection for Cost-Sensitive Medical Diagnosis.
Yusheng Li, Xincen Duan, Beili Wang, Wei Guo, Han-Jia Ye
2026DISCODE: Distribution-Aware Score Decoder for Robust Automatic Evaluation of Image Captioning.
Nakamasa Inoue, Kanoko Goto, Masanari Oi, Martyna Gruszka, Mahiro Ukai, Takumi Hirose, Yusuke Sekikawa
2026DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection.
Jiayi Hu, Qian Zhao, Gang Li
2026DLVINet: Advancing Dual-Lens Video Inpainting Beyond Parallax Constraints.
Zhiliang Wu, Kun Li, Yunqiu Xu, Hehe Fan, Yi Yang
2026DMCAR: Disentangled Mixture-of-Experts with Context-Aware Routing for Multi-View Clustering.
Baili Xiao, Ke Liang, Jiaqi Jin, Jun Wang, Yinbo Xu, Siwei Wang, En Zhu
2026DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors.
Zhuoxing Wei, Qingchen Xie, Qi Liu, Jingsong Yu
2026DMGINE: Day-Memory Guided Nighttime Image Enhancement for Dynamic Traffic Scenes.
Ruizhou Liu, Zhe Wu, Zimo Liu, Qingfang Zheng, Qingming Huang
2026DMOSpeech 2: Reinforcement Learning for Duration Prediction in Metric-Optimized Speech Synthesis.
Yinghao Aaron Li, Xilin Jiang, Fei Tao, Cheng Niu, Kaifeng Xu, Juntong Song, Nima Mesgarani
2026DNOI-4DRO: Deep 4D Radar Odometry with Differentiable Neural-Optimization Iterations.
Shouyi Lu, Huanyu Zhou, Guirong Zhuo, Xiao Tang
2026DNR Bench: Benchmarking Over-Reasoning in Reasoning LLMs.
Oluwanifemi Bamgbose, Masoud Hashemi, Sathwik Tejaswi Madhusudhan, Jishnu Sethumadhavan Nair, Aman Tiwari, Vikas Yadav
2026DOS: Directional Object Separation in Text Embeddings for Multi-Object Image Generation.
Dongnam Byun, Jungwon Park, Jungmin Ko, Changin Choi, Wonjong Rhee
2026DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation.
Mohamed Abdelsamad, Michael Ulrich, Bin Yang, Miao Zhang, Yakov Miron, Abhinav Valada
2026DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data.
Shuo Shi, Jinghuai Zhang, Shijie Jiang, Chunyi Zhou, Yuyuan Li, Mengying Zhu, Yangyang Wu, Tianyu Du
2026DP-NCB: Privacy Preserving Fair Bandits.
Dhruv Sarkar, Nishant Pandey, Sayak Ray Chowdhury
2026DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering.
Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang
2026DQT: Dynamic Quantization Training via Dequantization-Free Nested Integer Arithmetic.
Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Francesca Palermo, Diana Trojaniello, Manuel Roveri
2026DR.Experts: Differential Refinement of Distortion-Aware Experts for Blind Image Quality Assessment.
Bohan Fu, Guanyi Qin, Fazhan Zhang, Zihao Huang, Mingxuan Li, Runze Hu
2026DRAFT-RL: Multi-Agent Chain-of-Draft Reasoning for Reinforcement Learning-Enhanced LLMs.
Yuanhao Li, MingShan Liu, Hongbo Wang, Yiding Zhang, Yifei Ma, Wei Tan
2026DRFGD: Disentangled Representation-Focused Generative Defense for Attack-Tolerant Cross-Modal Hashing.
Zhongqing Yu, Xin Liu, Yiu-ming Cheung, Zhikai Hu, Wentao Fan, Pan Zhou
2026DRIFT: Difference-Aware Reinforcement Through Iterative Fine-Tuning for Language Model.
Wenjie Liao, Xiaohui Song, Haonan Lu
2026DRM-Net: Explicit Residual Modelling with Subaquatic Multi-Scale Context Fusion for Underwater Image Enhancement.
Chang Huang, Zhexin Zhou, Jun Ma, Jiatong Shen, Peixuan Xiong, Huayong Yang, Kaishun Wu
2026DRMD: Deep Reinforcement Learning for Malware Detection Under Concept Drift.
Shae McFadden, Myles Foley, Mario D'Onghia, Chris Hicks, Vasilios Mavroudis, Nicola Paoletti, Fabio Pierazzi
2026DRSoRec: Dual-Rectification of Social Networks for Recommendation.
Liangxun Yang, Tianzi Zang, Jiayi Sun, Juan Li, Yicong Li
2026DS SERVE: A Framework for Efficient and Scalable Neural Retrieval.
Jinjian Liu, Yichuan Wang, Xinxi Lyu, Rulin Shao, Joseph E. Gonzalez, Matei Zaharia, Sewon Min
2026DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks.
Jiaqiang Jiang, Wenfeng Xu, Jing Fan, Rui Yan
2026DS-ProGen: A Dual-Structure Deep Language Model for Functional Protein Design.
Yanting Li, Zikang Wang, Jiyue Jiang, Ziqian Lin, Dongchen He, Yuheng Shan, Yanruisheng Shao, Jiayi Li, Xiangyu Shi, Jiuming Wang, Yanyu Chen, Yimin Fan, Han Li, Yu Li
2026DSAP: Enhancing Generalization in Goal-Conditioned Reinforcement Learning.
Yiming Wang, Kaiyan Zhao, Ming Yang, Yan Li, Furui Liu, Jiayu Chen, Leong Hou U
2026DSCF: Dual-Source Counterfactual Fusion for High-Dimensional Combinatorial Interventions.
Jitong Dou, Lingrui Luo, Bing Zhu, Hengliang Luo, Mingjun Zhong, Yurong Cheng
2026DSCodeBench: A Realistic Benchmark for Data Science Code Generation.
Shuyin Ouyang, Dong Huang, Jingwen Guo, Zeyu Sun, Qihao Zhu, Jie M. Zhang
2026DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models.
Hanwen Zhang, Qiaojin Shen, Yuxi Liu, Yuesheng Zhu, Guibo Luo
2026DSP-PCQA: Integrating Multiple Perception Preferences for Point Cloud Quality Assessment.
Mingxuan Li, Fazhan Zhang, Zhenzhe Hou, Zihao Huang, Bohan Fu, Runze Hu, Xiaohui Chu
2026DTECT: Dynamic Topic Explorer & Context Tracker.
Suman Adhya, Debarshi Kumar Sanyal
2026DTTNet: Improving Video Shadow Detection via Dark-Aware Guidance and Tokenized Temporal Modeling.
Zhicheng Li, Kunyang Sun, Rui Yao, Hancheng Zhu, Fuyuan Hu, Jiaqi Zhao, Zhiwen Shao, Yong Zhou
2026DUP: Detection-guided Unlearning for Backdoor Purification in Language Models.
Man Hu, Yahui Ding, Yatao Yang, Liangyu Chen, Yanhao Jia, Shuai Zhao
2026DW-DGAT: Dynamically Weighted Dual Graph Attention Network for Neurodegenerative Disease Diagnosis.
Chengjia Liang, Zhenjiong Wang, Chao Chen, Ruizhi Zhang, Songxi Liang, Hai Xie, Haijun Lei, Zhongwei Huang
2026DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance.
Chengwei Sun, Jiwei Wei, Shiyuan He, Zeyu Ma, Yuyang Zhou, Ran Ran, Jie Zou, Yang Yang
2026DanceHA: A Multi-Agent Framework for Document-Level Aspect-Based Sentiment Analysis.
Lei Wang, Min Huang, Eduard C. Dragut
2026DarkBench+: An Extended Benchmark for Evaluating Dark Patterns in Large Language Models.
Yaowen Liu, Shenjia Jing, Yufei Wei, Shoumin Zhang, Jinglu Zhang, Zhen Mei, Liangliang Yue, Jiarui Wang, Peng Zhang
2026DarkFarseer: Robust Spatio-Temporal Kriging Under Graph Sparsity and Noise.
Zhuoxuan Liang, Wei Li, Dalin Zhang, Ziyu Jia, Yidan Chen, Zhihong Wang, Xiangping Zheng, Moustafa Youssef
2026Data Complexity of Querying Description Logic Knowledge Bases Under Cost-Based Semantics.
Meghyn Bienvenu, Quentin Manière
2026Data Heterogeneity and Forgotten Labels in Split Federated Learning.
Joana Tirana, Dimitra Tsigkari, David Solans Noguero, Nicolas Kourtellis
2026Data-Centric Sequential Recommendation with Relation-Augmented Generation.
Yichen Li, Yichen Tan, Yijing Shan, Haozhao Wang, Rui Zhang, Imran Razzak, Ruixuan Li
2026Data-Efficient and Contact-Rich Manipulation Through Diffusion Augmentation and Vision-Language Models.
Daniel Seita
2026DcMatch: Unsupervised Multi-Shape Matching with Dual-Level Consistency.
Tianwei Ye, Yong Ma, Xiaoguang Mei
2026DcSplat: Dual-Constraint Human Gaussian Splatting with Latent Multi-View Consistency.
Tengfei Xiao, Yue Wu, Zhigang Gao, Yongzhe Yuan, Can Qin, Hao Li, Mingyang Zhang
2026De Novo Molecular Generation from Mass Spectra via Many-Body Enhanced Diffusion.
Xichen Sun, Wentao Wei, Jiahua Rao, Jiancong Xie, Yuedong Yang
2026De-Speakerizing Accented ASR: Measuring and Mitigating Speaker Entanglement for Fair, Reliable Recognition.
Jiaen Sun
2026De-biased Natural Language Egocentric Task Verification via Prototypical Evidence Learning.
Chong Liu, Xun Jiang, Fumin Shen, Lei Zhu, Jingkuan Song, Heng Tao Shen, Xing Xu
2026De-collapsing User Intent: Adaptive Diffusion Augmentation with Mixture-of-Experts for Sequential Recommendation.
Xiaoxi Cui, Chao Zhao, Yurong Cheng, Xiangmin Zhou
2026DeCoRL: Decoupling Reasoning Chains via Parallel Sub-Step Generation and Cascaded Reinforcement for Interpretable and Scalable RLHF.
Ziyuan Gao, Di Liang, Xianjie Wu, Philippe Morel, Minlong Peng
2026DeFB: Decomposed Feature Learning for Real-Time Multi-Person Eyeblink Detection in Untrimmed In-the-Wild Videos.
Jinfang Gan, Wenzheng Zeng, Yang Xiao, Xintao Zhang, Chaoyang Zheng, Ran Zhao, Ran Wang, Min Du, Zhiguo Cao
2026DeFT-LoRA: Decoupled and Fused Tuning with LoRA Experts for Universal Cross-Domain Retrieval.
Ke Xu, Xiaozheng Shen, Shanshan Wang, Mengzhu Wang, Xun Yang
2026DeFuzzRAG: Handling Fuzzy Time Expressions for Temporal Robustness in Retrieval-Augmented Generation.
Ling-Chun Chen, Hsi-Wen Chen, Ming-Syan Chen
2026DeLightMono: Enhancing Self-Supervised Monocular Depth Estimation in Endoscopy by Decoupling Uneven Illumination.
Mingyang Ou, Haojin Li, Yifeng Zhang, Ke Niu, Zhongxi Qiu, Heng Li, Jiang Liu
2026DeLo: Dual Decomposed Low-Rank Experts Collaboration for Continual Missing Modality Learning.
Xiwei Liu, Yulong Li, Feilong Tang, Imran Razzak
2026DeNAS-ViT: Data Efficient NAS-Optimized Vision Transformer for Ultrasound Image Segmentation.
Renqi Chen, Xinzhe Zheng, Haoyang Su, Kehan Wu
2026DeNC++: Efficient Diffusion-Enhanced Neural Codec for End-to-end Semantic Streaming at the Edge.
Qihua Zhou, Wangjiang Gong, Zili Meng, Yaxiong Xie, Yaodong Huang, Junchen Jiang, Laizhong Cui
2026DeOcc-1-to-3: 3D De-Occlusion from a Single Image via Self-Supervised Multi-View Diffusion.
Yansong Qu, Shaohui Dai, Xinyang Li, Yuze Wang, You Shen, Shengchuan Zhang, Liujuan Cao
2026DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes.
Mogens Henrik From, Jacob Nielsen, Lukas Galke, Peter Schneider-Kamp
2026Debate over Mixed-knowledge: A Robust Multi-Agent Reasoning Framework for Incomplete Knowledge Graph Question Answering.
Jilong Liu, Pengyang Shao, Wei Qin, Fei Liu, Yonghui Yang, Richang Hong
2026Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder.
Shangshang Yang, Xuewen Duan, Xiaoshan Yu, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026Debiased Dual-Invariant Defense for Adversarially Robust Person Re-Identification.
Yuhang Zhou, Yanxiang Zhao, Zhongyun Hua, Zhipu Liu, Zhaoquan Gu, Qing Liao, Leo Yu Zhang
2026Debiased Multiplex Tokenizer for Efficient Map-Free Visual Relocalization.
Wenshuai Wang, Hong Liu, Shengquan Li, Peifeng Jiang, Runwei Ding
2026Debiasing Diffusion Priors via 3D Attention for Consistent Gaussian Splatting.
Shilong Jin, Haoran Duan, Litao Hua, Wentao Huang, Yuan Zhou
2026Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis.
Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud
2026Deblur4DGS: 4D Gaussian Splatting from Blurry Monocular Video.
Renlong Wu, Zhilu Zhang, Mingyang Chen, Zifei Yan, Wangmeng Zuo
2026Decentralized Non-convex Stochastic Optimization with Heterogeneous Variance.
Hongxu Chen, Ke Wei, Luo Luo
2026Decentralized Online Convex Optimization with Unknown Feedback Delays.
Hao Qiu, Mengxiao Zhang, Juliette Achddou
2026Decidable Multi-agent Epistemic Planning: A Situation Calculus Approach.
Qihui Feng, Gerhard Lakemeyer
2026Decision-Driven Orthogonal Learning with Complementary Feature Mining for Robust Synthetic Image Detection.
Kai Li, Wei Wang, Linchao Zhang, Siying Zhu, Wenqi Ren
2026Decoding with Structured Awareness: Integrating Directional, Frequency-Spatial, and Structural Attention for Medical Image Segmentation.
Fan Zhang, Zhiwei Gu, Hua Wang
2026Decompose and Attribute: Boosting Generalizable Open-Set Object Detection via Objectness Score.
Yuxuan Yuan, Lichen Wei, Luyao Tang, Chaoqi Chen, Zheyuan Cai, Yue Huang, Xinghao Ding
2026Decompose and Conquer: Compositional Reasoning for Zero-Shot Temporal Action Localization.
Haoyu Tang, Tianyuan Liang, Han Jiang, Xuesong Liu, Qinghai Zheng, Yupeng Hu
2026Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint (Student Abstract).
Bertille Tierny, Arthur Charpentier, François Hu
2026Decomposing Direct and Indirect Biases in Linear Models Under Demographic Parity Constraint.
Bertille Tierny, Arthur Charpentier, François Hu
2026Decomposing Prompts, Composing Actions: A Multi-Granularity Prompting Approach for Incremental Action Learning.
Xinyi Cheng, Chenghao Xu, Xi Wang, Jiexi Yan, Yanhua Yang
2026Decomposing and Composing: Towards Efficient Vision-Language Continual Learning via Rank-1 Expert Pool in a Single LoRA.
Zhan Fa, Yue Duan, Jian Zhang, Lei Qi, Wanqi Yang, Yinghuan Shi
2026Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation.
Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Dan Wang, Yuan Du
2026Deconstructing Pre-training: Knowledge Attribution Analysis in MoE and Dense Models.
Bo Wang, Junzhuo Li, Hong Chen, Yuanlin Chu, Yuxuan Fan, Xuming Hu
2026Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space.
Zhongnan Weng, Yue Hong, Hang Yu, Jiayi Que, Juan Liu, Xiangrong Liu
2026Decoupling Continual Semantic Segmentation.
Yifu Guo, Yuquan Lu, Wentao Zhang, Zishan Xu, Dexia Chen, Siyu Zhang, Yizhe Zhang, Ruixuan Wang
2026Decoupling Knowledge and Reasoning in LLMs: An Exploration Using Cognitive Dual-System Theory.
Mutian Yang, Jiandong Gao, Ji Wu
2026Decoupling Scene Perception and Ego Status: A Multi-Context Fusion Approach for Enhanced Generalization in End-to-End Autonomous Driving.
Jiacheng Tang, Mingyue Feng, Jiachao Liu, Yaonong Wang, Jian Pu
2026Decoupling Shared and Personalized Knowledge: A Dual-Branch Federated Learning Framework for Multi-Domain with Non-IID Data.
Yiran Pang, Zhen Ni, Xiangnan Zhong
2026Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning.
Zhenyu Zhang, Guangyao Chen, Yixiong Zou, Zhimeng Huang, Yuhua Li
2026Decoupling Understanding from Reasoning via Problem Space Mapping for Small-Scale Model Reasoning.
Li Wang, Changhao Zhang, Zengqi Xiu, Kai Lu, Xin Yu, Kui Zhang, Wenjun Wu
2026Decoupling What to Count and Where to See for Referring Expression Counting.
Yuda Zou, Zijian Zhang, Yongchao Xu
2026Deep (Predictive) Discounted Counterfactual Regret Minimization.
Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2026Deep Clustering Based on Sparse Kolmogorov-Arnold Network and Spectral Constraint.
Zixuan Bi, Yang Zhao, Ganchao Liu
2026Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction.
Wentao Gao, Xiongren Chen, Xiaojing Du, Wenjun Yu, Andres Mauricio Cifuentes Bernal, Ziqi Xu
2026Deep Hidden Cognition Facilitates Reliable Chain-of-Thought Reasoning.
Zijun Chen, Wenbo Hu, Richang Hong
2026Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment.
Yiming Du, Ziyu Wang, Jian Li, Rui Ning, Lusi Li
2026Deep Inverse Shading: Consistent Albedo and Surface Detail Recovery via Generative Refinement.
Jiacheng Wu, Ruiqi Zhang, Jie Chen
2026Deep Model Reuse: Paving the Way for Efficient and Generalizable AI Systems.
Xingyi Yang
2026Deep Reinforcement Learning for Scalable Offline Three-Dimensional Packing.
Hao Yin, Hongjie He, Fan Chen
2026Deep Research Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks.
Haiyuan Wan, Chen Yang, Junchi Yu, Meiqi Tu, Jiaxuan Lu, Di Yu, Jianbao Cao, Ben Gao, Jiaqing Xie, Aoran Wang, Wenlong Zhang, Philip Torr, Dongzhan Zhou
2026DeepBooTS: Dual-Stream Residual Boosting for Drift-Resilient Time-Series Forecasting.
Daojun Liang, Jing Chen, Xiao Wang, Yinglong Wang, Shuo Li
2026DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening.
Zhixiang Lu, Yulong Li, Feilong Tang, Zhengyong Jiang, Chong Li, Mian Zhou, Tenglong Li, Jionglong Su
2026DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling.
Ziyang Xiao, Yuan Jessica Wang, Xiongwei Han, Shisi Guan, Jingyan Zhu, Jingrong Xie, Lilin Xu, Han Wu, Wing Yin Yu, Zehua Liu, Xiaojin Fu, Gang Chen, Dongxiang Zhang
2026DeepPhy: Benchmarking Agentic VLMs on Physical Reasoning.
Xinrun Xu, Pi Bu, Ye Wang, Börje F. Karlsson, Ziming Wang, Tengtao Song, Qi Zhu, Jun Song, Zhiming Ding, Bo Zheng
2026DeepProofLog: Efficient Proving in Deep Stochastic Logic Programs.
Ying Jiao, Rodrigo Castellano Ontiveros, Luc De Raedt, Marco Gori, Francesco Giannini, Michelangelo Diligenti, Giuseppe Marra
2026DeepRAHT: Learning Predictive RAHT for Point Cloud Attribute Compression.
Chunyang Fu, Tai Qin, Shiqi Wang, Zhu Li
2026DeepRWCap: Neural-Guided Random-Walk Capacitance Solver for IC Design.
Hector Rodriguez Rodriguez, Jiechen Huang, Wenjian Yu
2026DeepSenseMoE: Harnessing Power of Time Series Foundation Models for Few-Shot Human Activity Recognition.
Zenan Fu, Dongzhou Cheng, Lei Zhang, Wenbo Huang, Zhenghao Chen, Hao Wu
2026DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks.
Yunfei Yang, Xiaojun Chen, Yuexin Xuan, Zhendong Zhao, Xin Zhao, He Li
2026DeepWriter: A Multi-Agent Collaboration Framework for Information-rich Ultra-long Book Writing.
Ming Wang, Minghao Hu, Xiuli Kang, Li He, Yu Tian, Chunming Liu, Han Shi, Zhunchen Luo, Wei Luo, Guotong Geng
2026Deeper Treatment of the Bi-objective Search Framework.
Shawn Skyler, Dor Atzmon, Ariel Felner, Oren Salzman, Carlos Hernández Ulloa, Sven Koenig
2026Deeply Seeking Boundary for Lunar Regolith Segmentation.
Yifeng Wang, Lingxin Wang, Lu Zhang, Yang Li, Chao Xu, Weiwei Zhang, Junyue Tang, Yanhong Zheng, Yong Pang, Shengyuan Jiang, Yi Zhao, Zongquan Deng
2026Deferred Poisoning: Making the Model More Vulnerable via Hessian Singularization.
Yuhao He, Jinyu Tian, Xianwei Zheng, Li Dong, Yuanman Li, Jiantao Zhou
2026DeformTrace: A Deformable State Space Model with Relay Tokens for Temporal Forgery Localization.
Xiaodong Zhu, Suting Wang, Yuanming Zheng, Junqi Yang, Yangxu Liao, Yuhong Yang, Weiping Tu, Zhongyuan Wang
2026Deformable Polygonal Flow Matching with Informed Priors and Hierarchical Graph Constraints.
Arnaud Gueze, Matthieu Ospici, Damien Rohmer, Marie-Paule Cani
2026DegVoC: Revisiting Neural Vocoder from a Degradation Perspective.
Andong Li, Tong Lei, Lingling Dai, Kai Li, Rilin Chen, Meng Yu, Xiaodong Li, Dong Yu, Chengshi Zheng
2026DehazeGS: Seeing Through Fog with 3D Gaussian Splatting.
Jinze Yu, Yiqun Wang, Aiheng Jiang, Zhengda Lu, Jianwei Guo, Yong Li, Hongxing Qin, Xiaopeng Zhang
2026Delayed Feedback Modeling with Influence Functions.
Chenlu Ding, Jiancan Wu, Yancheng Yuan, Cunchun Li, Xiang Wang, Dingxian Wang, Frank Yang, Andrew Rabinovich
2026DeloopSGNN: Revisiting Spectral GNNs Through the Lens of Spatial Aggregation.
Duanyu Li, Huijun Wu, Min Xie, Kai Lu, Wenzhe Zhang, Zhenwei Wu, Yong Dong, Ruibo Wang
2026Delphi: A Neuro-Symbolic Framework for Individualized, Safe and Interpretable Treatment Recommendation.
Muchan Tao, Haonan Qin, Yuqi Fang, Caifeng Shan, Tieniu Tan
2026Delta Matters: An Analytically Tractable Model for beta-delta Discounting Agents.
Yasunori Akagi, Takeshi Kurashima
2026Delving into Dynamic Scene Cue-Consistency for Robust 3D Multi-Object Tracking.
Haonan Zhang, Xinyao Wang, Boxi Wu, Tu Zheng, Wang Yunhua, Zheng Yang
2026Democratizing Diplomacy: A Harness for Evaluating Any Large Language Model on Full-Press Diplomacy.
Alexander Duffy, Samuel J. Paech, Ishana Shastri, Elizabeth Karpinski, Baptiste Alloui-Cros, Tyler Marques, Matthew Lyle Olson
2026Democratizing LLM Efficiency: From Hyperscale Optimizations to Universal Deployability.
Hen-Hsen Huang
2026Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool.
Babette Bühler, Ivo Bueno, Enkelejda Kasneci
2026Demystifying Foreground-Background Memorization in Diffusion Models.
Jimmy Z. Di, Yiwei Lu, Yaoliang Yu, Gautam Kamath, Adam Dziedzic, Franziska Boenisch
2026Demystifying GNN-to-MLP Knowledge Transfer: Theoretical Grounding and Dual-Stream Distillation Method.
Zhiyuan Yu, Mingkai Lin, Wenzhong Li, Zhangyue Yin, Shijian Xiao, Sanglu Lu
2026DenoDet V2: Phase-Amplitude Cross Denoising for SAR Object Detection.
Kang Ni, Minrui Zou, Yuxuan Li, Xiang Li, Kehua Guo, Ming-Ming Cheng, Yimian Dai
2026DenoiseGS: Delta-Based 3D Gaussian Splatting with B-spline Trajectory Optimization for Dynamic Driving Scene Reconstruction.
Junjie Linghu, Qiang Ling
2026Denoising Mixup for Regression.
Zhengzhang Hou, Zhanshan Li, Yanbo Liu, Geoff Nitschke, You Lu, Ximing Li
2026Dense Cross-Scale Image Alignment with Fully Spatial Correlation and Just Noticeable Difference Guidance.
Jinkun You, Jiaxue Li, Jie Zhang, Yicong Zhou
2026DensiCrafter: Physically-Constrained Generation and Fabrication of Self-Supporting Hollow Structures.
Shengqi Dang, Fu Chai, Jiaxin Li, Chao Yuan, Wei Ye, Nan Cao
2026DentalGS: Pose-Free 3D Gaussian Splatting from Five Intraoral Images for Novel View Synthesis.
Honghao Dai, Yuanfeng Zhou, Guangshun Wei, Zhihao Li, Wenping Wang
2026Dep-MAP: A Multi-level Alignment Framework with Semantic Prototypes for Video-based Automatic Depression Assessment.
Hao Wang, Jiayu Ye, Qingxiang Wang
2026Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges.
Changxi Chi, Yufei Huang, Jun Xia, Jiangbin Zheng, Yunfan Liu, Zelin Zang, Stan Z. Li
2026Deployed AI Agents for Industrial Asset Management: CodeReAct Framework for Event Analysis and Work Order Automation.
Nianjun Zhou, Dhaval Patel, Anamitra Bhattacharyya
2026Deploying Atmospheric and Oceanic AI Models on Chinese Hardware and Framework: Migration Strategies, Performance Optimization and Analysis.
Yuze Sun, Wentao Luo, Yanfei Xiang, Jiancheng Pan, Jiahao Li, Quan Zhang, Xiaomeng Huang
2026Deploying Rapid Damage Assessments from sUAS Imagery for Disaster Response.
Thomas Manzini, Priyankari Perali, Robin R. Murphy
2026Depth-Synergized Mamba Meets Memory Experts for All-Day Image Reflection Separation.
Siyan Fang, Long Peng, Yuntao Wang, Ruonan Wei, Yuehuan Wang
2026Dereflection Any Image with Diffusion Priors and Diversified Data.
Jichen Hu, Chen Yang, Zanwei Zhou, Jiemin Fang, Qi Tian, Wei Shen
2026Description Logics with Two Types of Definite Descriptions: Complexity, Expressiveness, and Automated Deduction.
Michal Sochanski, Przemyslaw Andrzej Walega, Michal Zawidzki
2026Designed to Spread: A Generative Approach to Enhance Information Diffusion.
Ziqing Qian, Jiaying Lei, Shengqi Dang, Nan Cao
2026Designing Incentives for Networked Multi-agent Systems.
Xinwei Song
2026Designing Incident Reporting Systems for Harms from General-Purpose AI.
Kevin Wei, Lennart Heim
2026Designing Optimal Mechanisms to Locate Facilities with Insufficient Capacity for Bayesian Agents.
Gennaro Auricchio, Jie Zhang
2026Designing Truthful Mechanisms for Asymptotic Fair Division.
Jugal Garg, Vishnu V. Narayan, Yuang Eric Shen
2026DesireKV: Decoupling Sensitivity and Importance for Reasoning-Aware KV Cache Compression.
Pengyu Cheng, Jiacheng Wang, Tianle Chen, Bei Liu, Xiaofeng Hou, Jiacheng Liu
2026Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception.
Yuankun Xie, Ruibo Fu, Xiaopeng Wang, Zhiyong Wang, Songjun Cao, Long Ma, Haonan Cheng, Long Ye
2026Detecting Citation Hallucinations in Large Language Model Outputs (Student Abstract).
Nipun Misra, Vikranth Udandarao
2026Detecting Compute Structuring in AI Governance Is Likely Feasible.
Emmanouil Seferis, Timothy Fist
2026Detecting Emotional Dynamic Trajectories: An Evaluation Framework for Emotional Support in Language Models.
Zhouxing Tan, Ruochong Xiong, Yulong Wan, Jinlong Ma, Hanlin Xue, Qichun Deng, Haifeng Jing, Zhengtong Zhang, Depei Liu, Shiyuan Luo, Junfei Liu
2026Detecting Fake News in Short Videos Through Multi-View Aggregation.
Nuo Li, Yuan Xiong, Chengliang Liu, Jie Wen, Chao Huang
2026Detecting Unobserved Confounders: A Kernelized Regression Approach.
Yikai Chen, Yunxin Mao, Chunyuan Zheng, Hao Zou, Shanzhi Gu, Shixuan Liu, Yang Shi, Wenjing Yang, Kun Kuang, Haotian Wang
2026Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching.
Ivan Karpukhin, Andrey V. Savchenko
2026Deterministic Hyperdimensional Learning with Rank Refinement (Student Abstract).
Abu Kaisar Mohammad Masum, Sercan Aygun
2026Deviation Dynamics in Cardinal Hedonic Games.
Valentin Zech, Martin Bullinger
2026DexGraspVLA: A Vision-Language-Action Framework Towards General Dexterous Grasping.
Yifan Zhong, Xuchuan Huang, Ruochong Li, Ceyao Zhang, Zhang Chen, Tianrui Guan, Fanlian Zeng, Ka Nam Lui, Yuyao Ye, Yitao Liang, Yaodong Yang, Yuanpei Chen
2026Dexterous Manipulation Transfer via Progressive Kinematic-Dynamic Alignment.
Wenbin Bai, Qiyu Chen, Xiangbo Lin, Jw L, Quancheng Li, Hejiang Pan, Yi Sun
2026DiA-gnostic VLVAE: Disentangled Alignment-Constrained Vision Language Variational AutoEncoder for Robust Radiology Reporting with Missing Modalities.
Nagur Shareef Shaik, Teja Krishna Cherukuri, Adnan Masood, Dong Hye Ye
2026DiAPR: Dimensionally-Allocated Prototype Refinement for Non-Exemplar Class Incremental Learning.
Ruixuan Gao, Qijun Zhao, Keren Fu
2026DiCaP: Distribution-Calibrated Pseudo-labeling for Semi-Supervised Multi-Label Learning.
Bo Han, Zhuoming Li, Xiaoyu Wang, Yaxin Hou, Hui Liu, Junhui Hou, Yuheng Jia
2026DiLO: Disentangled Latent Optimization for Learning Shape and Deformation in Grouped Deforming 3D Objects.
Mostofa Rafid Uddin, Jana Armouti, Umong Sain, Md. Asib Rahman, Xingjian Li, Min Xu
2026DiM-TS: Bridge the Gap Between Selective State Space Models and Time Series for Generative Modeling.
Zihao Yao, Jiankai Zuo, Yaying Zhang
2026DiMA: Distinguishing Resident and Tourist Preferences via Multi-Modal LLM Alignment for Out-of-Town Cross-Domain Recommendation.
Fan Zhang, Jinpeng Chen, Tao Wang, Huan Li, Senzhang Wang, Feifei Kou, Ye Ji, Kaimin Wei, Zhenye Yang
2026DiTEA: Mixture-of-Experts for Vision-Language-Action Model in Robotic Manipulation.
Chengxuan Li, Xingwan Wang
2026Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation.
Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2026DiagramGPT-Llama3: Enabling Editable, High-Fidelity Diagram Generation with Vision Large Language Models.
Yongyuan Chen, Minjie Hong, Boxi Wu, Xicheng Han
2026DialoGen: Towards Dialog Gesture Generation via Identity-Decoupled Style Guidance in Interactive Diffusion Model.
Weiyu Zhao, Chenyang Wang, Liangxiao Hu, Zonglin Li, Wei Yu, Shengping Zhang
2026DialogXpert: Driving Intelligent and Emotion-Aware Conversations Through Online Value-Based Reinforcement Learning with LLM Priors.
Tazeek Bin Abdur Rakib, Ambuj Mehrish, Lay-Ki Soon, Wern Han Lim, Soujanya Poria
2026Diff-NAT: Better Naturalistic and Aggressive Adversarial Attacks via Class-Optimized Diffusion for Object Detection.
Qinglong Yan, Tong Zou, Xunpeng Yi, Xinyu Xiang, Xuying Wu, Hao Zhang, Jiayi Ma
2026Diff-V2M: A Hierarchical Conditional Diffusion Model with Explicit Rhythmic Modeling for Video-to-Music Generation.
Shulei Ji, Zihao Wang, Jiaxing Yu, Xiangyuan Yang, Shuyu Li, Songruoyao Wu, Kejun Zhang
2026DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation.
Jiajun Jiao, Haowei Zhu, Puyuan Yang, Jianghui Wang, Ji Liu, Ziqiong Liu, Dong Li, Yuejian Fang, Jun-Hai Yong, Bin Wang, Emad Barsoum
2026DiffMM: Efficient Method for Accurate Noisy and Sparse Trajectory Map Matching via One Step Diffusion.
Chenxu Han, Sean Bin Yang, Jilin Hu
2026DiffNR: Diffusion-Enhanced Neural Representation Optimization for Sparse-View 3D Tomographic Reconstruction.
Shiyan Su, Ruyi Zha, Danli Shi, Hongdong Li, Xuelian Cheng
2026DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients.
Yuexin Bian, Jie Feng, Yuanyuan Shi
2026DiffRefiner: Coarse to Fine Trajectory Planning via Diffusion Refinement with Semantic Interaction for End to End Autonomous Driving.
Liuhan Yin, Runkun Ju, Guodong Guo, Erkang Cheng
2026Difference Vector Equalization for Robust Fine-tuning of Vision-Language Models.
Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Taiga Yamane, Naoki Makishima, Naotaka Kawata, Mana Ihori, Tomohiro Tanaka, Shota Orihashi, Ryo Masumura
2026Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving.
Bin Rao, Chengyue Wang, Haicheng Liao, Qianfang Wang, Yanchen Guan, Jiaxun Zhang, Xingcheng Liu, Meixin Zhu, Kanye Ye Wang, Zhenning Li
2026Differentiable Sparse Identification of Lagrangian Dynamics.
Zitong Zhang, Hao Sun
2026Differentially Private Linear Programming: Reduced Sub-Optimality and Guaranteed Constraint Satisfaction.
Alexander Benvenuti, Brendan J. Bialy, Miriam E. Dennis, Matthew Hale
2026Differentially Private Subspace Fine-Tuning for Large Language Models.
Lele Zheng, Xiang Wang, Tao Zhang, Yang Cao, Ke Cheng, Yulong Shen
2026Differentiated Directional Intervention: A Framework for Evading LLM Safety Alignment.
Peng Zhang, Peijie Sun
2026Difficulty Controlled Diffusion Model for Synthesizing Effective Training Data.
Zerun Wang, Jiafeng Mao, Xueting Wang, Toshihiko Yamasaki
2026Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility.
Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Xiaojun Meng, Jiansheng Wei, Jiaqing Liang, Yanghua Xiao
2026Difficulty-Aware Label-Guided Denoising for Monocular 3D Object Detection.
Soyul Lee, Seungmin Baek, Dongbo Min
2026Difficulty-Aware Learning Curve Extrapolation.
Mengyang Li, Pinlong Zhao
2026Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion.
An Zhao, Shengyuan Zhang, Zejian Li, Ling Yang, Pei Chen, Jiale Wu, Haoran Xu, Anyang Wei, Perry Pengyun Gu, Lingyun Sun
2026Diffusion Implicit Policy for Unpaired Scene-aware Motion Synthesis.
Jingyu Gong, Chong Zhang, Fengqi Liu, Ke Fan, Qianyu Zhou, Xin Tan, Zhizhong Zhang, Yuan Xie
2026Diffusion Model Based Signal Recovery Under 1-Bit Quantization.
Youming Chen, Zhaoqiang Liu
2026Diffusion Once and Done: Degradation-Aware LoRA for All-in-One Image Restoration.
Ni Tang, Xiaotong Luo, Zihan Cheng, Liangtai Zhou, Dongxiao Zhang, Yanyun Qu
2026Diffusion Reconstruction-based Data Likelihood Estimation for Core-Set Selection.
Mingyang Chen, Jiawei Du, Bo Huang, Yi Wang, Xiaobo Zhang, Wei Wang
2026Diffusion for Combating the Hallucination in Large Language Models (Student Abstract).
Hyojun Ahn, Joongheon Kim
2026Diffusion-Assisted Progressive Learning for Weakly Supervised Phrase Localization.
Pengyue Lin, Yanyang Hu, Xinjing Liu, Wenqi Jia, Fangxiang Feng, Ruifan Li
2026Diffusion-Based Contextual Reconstruction for Point Cloud Segmentation with Limited Annotations.
Jiawei Lian, Zhengxue Wang, Wentao Qu, Haobo Jiang, Le Hui, Jian Yang
2026Diffusion-based Personalized Pathology Disentanglement for Impaired Gait Analysis.
Xiaoyue Wan, Xu Zhao
2026Diffusion-calibrated Continual Test-time Adaptation.
Xu Yang, Moqi Li, Kun Wei
2026DiffusionPose: Markov-Optimized Diffusion Model for Human Pose Estimation.
Zhigang Wang, Zhenguang Liu, Shaojing Fan, Sifan Wu, Yingying Jiao
2026DigimonGPT: An Evolvable Agent with Hierarchical Human-like Memory for Video Question Answering.
Borui Li, Xingcai Zhang, Tianen Liu, Shuai Wang, Yun Cheng
2026Digital Scale: Open-Source On-Device BMI Estimation from Smartphone Camera Images Trained on a Large-Scale Real-World Dataset.
Frederik Rajiv Manichand, Robin Deuber, Robert Jakob, Steve Swerling, Jamie Rosen, Elgar Fleisch, Patrick Langer
2026Dimension-Aware Active Annotation for Aesthetic Perception via Multi-Agent Human-AI Collaboration.
Ye Zhang, Jinlong He, Dongjie Wang, Yupeng Zhou, Minghao Yin
2026DipGuava: Disentangling Personalized Gaussian Features for 3D Head Avatars from Monocular Video.
Jeonghaeng Lee, Seokkeun Choi, Zhixuan Li, Weisi Lin, Sanghoon Lee
2026Directing Uncertainty-Aware Information Flow for Robust Diffusion Prediction.
Weikang He, Yunpeng Xiao, Mengyang Huang, Xuemei Mou, Rong Wang, Qian Li
2026Direction Sensitivity-Based Knowledge Distillation: Optimization-Aware Low-Rank Knowledge Transfer.
Yongkai Liao, Xinxing Chen, Zhongzheng Fu, Haoyuan Wang, Jian Huang
2026DisCo DETR: Distance-aware Multi-view Contrastive Learning for DETR Pre-training.
Chao Ouyang, Yuyang Bai, Jun Zhang, Tianlu Gao, Jun Hao, Lijun Kong, David Wenzhong Gao
2026Discounted Cuts: A Stackelberg Approach to Network Disruption.
Pål Grønås Drange, Fedor V. Fomin, Petr A. Golovach, Danil Sagunov
2026Discovering Decoupled Functional Modules in Large Language Models.
Yanke Yu, Jin Li, Ying Sun, Ping Li, Zhefeng Wang, Yi Zheng
2026Discovering Hybrid World Representations with Co-Evolving Foundation Models.
Jiajun Wu, Yunzhi Zhang, Hong-Xing Yu, Joy Hsu, Jiayuan Mao
2026Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs.
Jinpeng Li, Hang Yu, Ziqi Ma, Peng Qi
2026Discovering Linear Non-Gaussian Models for All Categories of Missing Data (Student Abstract).
Matteo Ceriscioli, Shohei Shimizu, Karthika Mohan
2026Discovering Mixture Skills for Unsupervised Reinforcement Learning.
Nelson Ma, Junyu Xuan, Guangquan Zhang, Jie Lu
2026Discovery of Feasible 3D Printing Configurations for Metal Alloys via AI-Driven Adaptive Experimental Design.
Azza Fadhel, Nathaniel W. Zuckschwerdt, Aryan Deshwal, Susmita Bose, Amit Bandyopadhyay, Jana Doppa
2026Discrete Structure Augmentation for Graph Convolutional Networks.
Jianxin Ren, Weining Wu
2026Discrete-Guided Diffusion for Scalable and Safe Multi-Robot Motion Planning.
Jinhao Liang, Sven Koenig, Ferdinando Fioretto
2026Discretization Is Not Always Better: Rethinking Deep Quantization for Asymmetric Image Retrieval.
Xinze Liu, Dayan Wu, Hengjie Zhu, Chenming Wu, Pengwen Dai
2026Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis.
Qianqian Wang, Mengping Jiang, Wei Feng, Haixi Zhang, Bin Liu
2026Disentangled Generation-Based Prototypical Alignment for Few-Shot Unsupervised Domain Adaptation in Graph-Level Anomaly Detection.
Zhibin Ni, Chenghao Zhang, Hai Wan, Xibin Zhao
2026Disentangled Hypergraph-Guided Mamba Scanning for Fine-Grained Visual Recognition.
Zhongwei Xiong, Hao Wang, Xiaoyan Yu, Lingling Li, Xuezhuan Zhao, Taisong Jin
2026Disentangling Adversarial Prompts: A Semantic-Graph Defense for Robust LLM Security.
Xiang Fang, Wanlong Fang
2026Disentangling for Transfer: Boosting Limited Modalities via Information-Theoretic Regularization and Cross-Modal Reconstruction.
Zhiyun Zhang, Yan-Jie Zhou, Yujian Hu, Xiyao Ma, Zhouhang Yuan, Zirui Wang, Hongkun Zhang, Minfeng Xu
2026Distillation Dynamics: Towards Understanding Feature-Based Distillation in Vision Transformers.
Huiyuan Tian, Bonan Xu, Shijian Li
2026Distillation-Guided Structural Transfer for Continual Learning Beyond Sparse Distributed Memory.
Huiyan Xue, Xuming Ran, Yaxin Li, Qi Xu, Enhui Li, Yi Xu, Qiang Zhang
2026Distilling Cross-Modal Knowledge via Feature Disentanglement.
Junhong Liu, Yuan Zhang, Tao Huang, Wenchao Xu, Renyu Yang
2026Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection.
Haowen Zheng, Hu Zhu, Lu Deng, Weihao Gu, Yang Yang, Yanyan Liang
2026Distractor-Based Jailbreaking Attacks in Language Models and Associated Changes in Chain-of-Thought Content (Student Abstract).
Tate Rowney, Xuning Ying
2026Distribution Shift Is Key to Learning Invariant Prediction.
Hong Zheng, Fei Teng
2026Distribution-Based Feature Attribution for Explaining the Predictions of Any Classifier.
Xinpeng Li, Kai Ming Ting
2026Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes.
Haokai Hong, Wanyu Lin, Ming Yang, Kay Chen Tan
2026Distributionally Robust Online Markov Game with Linear Function Approximation.
Zewu Zheng, Yuanyuan Lin
2026Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage.
Alan J. X. Guo, Mengyi Wei, Yufan Dai, Yali Wei, Pengchen Zhang
2026DivControl: Knowledge Diversion for Controllable Image Generation.
Yucheng Xie, Fu Feng, Ruixiao Shi, Jing Wang, Yong Rui, Xin Geng
2026Diverse Human Driving Vehicle Simulation in Background Traffic for Autonomous Driving Tests.
Wendi Li, Hao Wu, Han Gao, Bing Mao, Fengyuan Xu, Sheng Zhong
2026Diversifying Counterattacks: Orthogonal Exploration for Robust CLlP Inference.
Chengze Jiang, Minjing Dong, Xinli Shi, Jie Gui
2026Diversity Meets Relevancy: Multi-Agent Knowledge Probing for Industry 4.0 Applications.
Christodoulos Constantinides, Dhaval Patel, Scott Kimbleton, Nishu Garg, Muhammad Paracha
2026Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure.
Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026Diversity of Structured Domains via k-Kemeny Scores.
Piotr Faliszewski, Krzysztof Sornat, Stanislaw Szufa, Tomasz Was
2026Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation.
Xingyue Zhao, Wenke Huang, Xingguang Wang, Haoyu Zhao, Linghao Zhuang, Anwen Jiang, Guancheng Wan, Mang Ye
2026Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation.
Runmin Cong, Anpeng Wang, Bin Wan, Cong Zhang, Xiaofei Zhou, Wei Zhang
2026Dividing Indivisible Items for the Benefit of All: It Is Hard to Be Fair Without Social Awareness.
Argyrios Deligkas, Eduard Eiben, Tiger-Lily Goldsmith, Dusan Knop, Simon Schierreich
2026Do Audio-Visual Segmentation Models Truly Segment Sounding Objects?
Jia Li, Wenjie Zhao, Ziru Huang, Yunhui Guo, Yapeng Tian
2026Do It for HER: First-Order Temporal Logic Reward Specification in Reinforcement Learning.
Pierriccardo Olivieri, Fausto Lasca, Alessandro Gianola, Matteo Papini
2026Do LLMs Feel? Teaching Emotion Recognition with Prompts, Retrieval, and Curriculum Learning.
Xinran Li, Yu Liu, Jiaqi Qiao, Xiujuan Xu
2026Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy.
Andrea Brunello, Luca Geatti, Michele Mignani, Angelo Montanari, Nicola Saccomanno
2026Do Language Models Associate Sound with Meaning? A Multimodal Study of Sound Symbolism.
Jinhong Jeong, Sunghyun Lee, Jaeyoung Lee, Seonah Han, Youngjae Yu
2026Do Large Language Models (LLMs) Understand Chronology? (Student Abstract).
Pattaraphon Kenny Wongchamcharoen, Paul Glasserman
2026Do Large Language Models Reason About Uncertainty Like Humans? A Benchmark on Hurricane Forecast Visualization Comprehension.
Le Liu, Yuhao Wang, Bohan Shen, Wei Zeng, Shizhou Zhang, Di Xu, Peng Wang
2026Do Large Language Models Think like the Brain? Sentence-Level Evidences from Layer-Wise Embeddings and fMRI.
Yu Lei, Xingyang Ge, Yi Zhang, Yiming Yang, Bolei Ma
2026Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging.
Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang
2026Do Retrieval Augmented Language Models Know When They Don't Know?
Youchao Zhou, Heyan Huang, Yicheng Liu, Rui Dai, Xinglin Wang, Xingchen Zhang, Shumin Shi, Yang Deng
2026Do We Need Perfect Data? Leveraging Noise for Domain Generalized Segmentation.
Taeyeong Kim, Seungjoon Lee, Jung Uk Kim, MyeongAh Cho
2026Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time Compute.
Jianhao Chen, Zishuo Xun, Bocheng Zhou, Han Qi, Hangfan Zhang, Qiaosheng Zhang, Yang Chen, Wei Hu, Yuzhong Qu, Shuyue Hu
2026DoBlock: Blocking Malicious Association Propagation for Backdoor-Robust Federated Learning Under Domain Skew.
Zhou Tan, De Li, Yirui Huang, Duanshu Fang, Jia-Li Yin, Xiaolei Liu, Songze Li, Shouling Ji
2026DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection.
Shiwang Xing, Jianwei Niu, Tao Ren
2026DocR1: Evidence Page-Guided GRPO for Multi-Page Document Understanding.
Junyu Xiong, Yonghui Wang, Weichao Zhao, Chenyu Liu, Bing Yin, Wengang Zhou, Houqiang Li
2026Docora: A System for Interactive Knowledge Extraction and Visualization from Scientific PDFs.
Dinh-Truong Do, Hoang-An Trieu, Van-Thuy Phi, Le-Minh Nguyen, Yuji Matsumoto
2026Does Question Really Matter? The Attribution of Answer Bias in LLM Evaluation.
Boxi Cao, Ruotong Pan, Hongyu Lin, Xianpei Han, Le Sun
2026DogFit: Domain-guided Fine-tuning for Efficient Transfer Learning of Diffusion Models.
Yara Bahram, Mohammadhadi Shateri, Eric Granger
2026Domain Adaptation Guided Infrared and Visible Image Fusion.
Tianwei Guan, Haozhen Wei, Yuhan Zhou, Jun Ma, Zecheng Xu, Zhiying Jiang, Jinyuan Liu, Xingyuan Li
2026Domain-Auxiliary Infrared Moving Small Target Detection by Learning to Overlook Domain Discrepancy.
Shengjia Chen, Luping Ji, Shuang Peng, Sicheng Zhu, Mao Ye
2026Domain-Aware Multi-View Contrastive Representation Learning for Protein Subcellular Localization Prediction.
Qiang Zhang, Feng Yang, Weihong Huang, Jing Feng, Juan Liu
2026Domain-Aware Suppression and Aggregation for Federated DG ReID.
Zhixi Yu, Wei Liu, Wenke Huang, Bin Yang, Qian Bie, Guancheng Wan, Xin Xu
2026Domain-Specific Retrieval for Retrieval-Augmented Generation: A Case Study on Pertussis Research (Student Abstract).
Hiroki Takabatake, Niken Prasasti Martono, Asaomi Kuwae, Toshihiko Iuchi, Hayato Ohwada
2026DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts.
Yujing Lu, Ling Zhong, Jing Yang, Weiming Li, Peng Wei, Yongheng Wang, Manni Duan, Qing Zhang
2026Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning.
Rasmus G. Tollund, Álvaro Torralba
2026Don't Start Over: A Cost-Effective Framework for Migrating Personalized Prompts Between LLMs.
Ziyi Zhao, Chongming Gao, Yang Zhang, Haoyan Liu, Weinan Gan, Huifeng Guo, Yong Liu, Fuli Feng
2026Don't Stop the Multi-Party! On Generating Synthetic Written Multi-Party Conversations with Constraints.
Nicolò Penzo, Marco Guerini, Bruno Lepri, Goran Glavas, Sara Tonelli
2026Dormant Backdoor: Weaponizing Model Finetuning for Feasible Backdoor Attacks Against Pretrained Models.
Ruitao Li, Jiakai Wang, Hairong Chen, Huihu Ding, Jinghan Zhou, Renshuai Tao
2026Double Rounding: Nearly Lossless Adaptive Bit Switching for QAT.
Haiduo Huang, Zhenhua Liu, Tian Xia, Pengju Ren
2026Doubly Debiased Test-Time Prompt Tuning for Vision-Language Models.
Fei Song, Yi Li, Rui Wang, Jiahuan Zhou, Changwen Zheng, Jiangmeng Li
2026Doubly Robust Causal Estimation Under Multi-View Network Interference (Student Abstract).
Hanzhang Yuan, Sheng Li
2026DragNeXt: Rethinking Drag-Based Image Editing.
Yuan Zhou, Junbao Zhou, Qingshan Xu, Kesen Zhao, Yuxuan Wang, Hao Fei, Richang Hong, Hanwang Zhang
2026Dream-IF: Dynamic Relative EnhAnceMent for Image Fusion.
Xingxin Xu, Bing Cao, Dongdong Li, Qinghua Hu, Pengfei Zhu
2026DreamRunner: Fine-Grained Compositional Story-to-Video Generation with Retrieval-Augmented Motion Adaptation.
Zun Wang, Jialu Li, Han Lin, Jaehong Yoon, Mohit Bansal
2026Drift Estimation for Diffusion Processes Using Neural Networks Based on Discretely Observed Independent Paths.
Yuzhen Zhao, Yating Liu, Marc Hoffmann
2026Drift-aware Collaborative Assistance Mixture of Experts for Heterogeneous Multistream Learning.
En Yu, Jie Lu, Kun Wang, Xiaoyu Yang, Guangquan Zhang
2026Drifting Away from Truth: GenAI-Driven News Diversity Challenges LVLM-Based Misinformation Detection.
Fanxiao Li, Jiaying Wu, Tingchao Fu, Yunyun Dong, Bingbing Song, Wei Zhou
2026Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning.
Yue Li, Meng Tian, Dechang Zhu, Jiangtong Zhu, Zhenyu Lin, Zhiwei Xiong, Xinhai Zhao
2026DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving.
Hongbin Lin, Yiming Yang, Chaoda Zheng, Yifan Zhang, Shuaicheng Niu, Zilu Guo, Yafeng Li, Gui Gui, Shuguang Cui, Zhen Li
2026DriveLiDAR4D: Sequential and Controllable LiDAR Scene Generation for Autonomous Driving.
Kaiwen Cai, Xinze Liu, Xia Zhou, Hengtong Hu, Jie Xiang, Luyao Zhang, Xueyang Zhang, Kun Zhan, Yifei Zhan, Xianpeng Lang
2026DriveSuprim: Towards Precise Trajectory Selection for End-to-End Planning.
Wenhao Yao, Zhenxin Li, Shiyi Lan, Zi Wang, Xinglong Sun, José M. Álvarez, Zuxuan Wu
2026Driving Engagement in Daily Fantasy Sports with a Scalable and Urgency-Aware Ranking Engine.
Unmesh Padalkar
2026Driving with Advice: Large Model as Motion Advisor for Joint Planning.
Junyin Wang, Jinlei Yu, Hao Lin, Huikai Liu, Wenqian Zhu, Shengwu Xiong
2026Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning.
Tianhui Cai, Yifan Liu, Zewei Zhou, Haoxuan Ma, Seth Z. Zhao, Zhiwen Wu, Xu Han, Zhiyu Huang, Jiaqi Ma
2026Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models.
Biao Chen, Lin Zuo, Mengmeng Jing, Kunbin He, Yuchen Wang
2026Dropouts in Confidence: Moral Uncertainty in Human-LLM Alignment.
Jea Kwon, Luiz Felipe Vecchietti, Sungwon Park, Meeyoung Cha
2026DuGI-MAE: Improving Infrared Mask Autoencoders via Dual-Domain Guidance.
Yinghui Xing, Xiaoting Su, Shizhou Zhang, Donghao Chu, Di Xu
2026Dual Coding Theory in Action: Language-Assisted Human Pose Estimation in Videos.
Sifan Wu, Haipeng Chen, Yingda Lyu, Shaojing Fan, Zhigang Wang, Zhenguang Liu, Yingying Jiao
2026Dual Graph Disambiguation for Multi-Instance Partial-Label Learning.
Zhen Zhu, Kai Tang, Songhe Feng, Yixuan Tang, Haobo Wang, Gengyu Lyu, Cheng Peng, Yining Sun
2026Dual Mamba for Node-Specific Representation Learning: Tackling Over-Smoothing with Selective State Space Modeling.
Xin He, Yili Wang, Yiwei Dai, Xin Wang
2026Dual-Branch Asymmetric Discrepancy Learning Based on Fake Image Pattern-Coexistence for AI-Generated Image Detection.
Chunli Song, Jie Liu, Peiyang Wang, Ying Huang, Guixuan Zhang, Zhi Zeng, Shuwu Zhang
2026Dual-Channel Learning Framework for Zero-Shot CircRNA-miRNA Interaction Prediction via State Space Modeling.
Mengmeng Wei, Lei Wang, Zhu-Hong You, Pengwei Hu, Bowei Zhao, Zhi-An Huang, Yu-An Huang, Haicheng Yi
2026Dual-Geometry Graph Network: Unifying Local and Global Priors for Few-Shot Learning.
Zheng Han, Xiaobin Zhu, Chun Yang, Jingyan Qin, Xu-Cheng Yin
2026Dual-Horizon Interest Model for Unified Search and Recommendation.
Wenhao Zhu, Yuxin Li, Shuo Wang, Hao Wang
2026Dual-Kernel Graph Community Contrastive Learning.
Xiang Chen, Kun Yue, Wenjie Liu, Zhenyu Zhang, Liang Duan
2026Dual-Path Knowledge-Augmented Contrastive Alignment Network for Spatially Resolved Transcriptomics.
Wei Zhang, Jiajun Chu, Xinci Liu, Chen Tong, Xinyue Li
2026Dual-Perspective Disentanglement: Learning Symmetric Group-Aware Representations for Cross-Domain Recommendation.
Borui Wu, Yuanbo Xu
2026Dual-Phase Visual-Language Pretraining and Adaptation for Long-Tailed Multi-Label Recognition.
Yongcheng Li, Xuekuan Wang, Zhifei Zhang, Cairong Zhao
2026Dual-Seed Evolutionary Algorithm for Noise Optimization in Diffusion Models.
Yuzheng Tan, Yuan He, Yao Zhu, Tianlin Huo, Huanqian Yan, Hang Su, Shuxin Zhang, Guangneng Hu
2026Dual-Teacher Interactive Knowledge Distillation Network for Text-to-Visible & Infrared Person Retrieval.
Chenglong Li, Zhengyu Chen, Yifei Deng, Aihua Zheng
2026Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure.
Lulu Xue, Shengshan Hu, Linqiang Qian, Peijin Guo, Yechao Zhang, Minghui Li, Yanjun Zhang, Dayong Ye, Leo Yu Zhang
2026Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning.
Qinghong Guo, Yu Wang, Ji Cao, Tongya Zheng, Junshu Dai, Bingde Hu, Shunyu Liu, Canghong Jin
2026Dual-stream Relation-modeling Disentanglement for Cloth-Changing Person Re-Identification.
Shijuan Huang, Hefei Ling, Zongyi Li, Xu Li, Zhao Lv
2026DualFete: Revisiting Teacher-Student Interactions from a Feedback Perspective for Semi-supervised Medical Image Segmentation.
Le Yi, Wei Huang, Lei Zhang, Kefu Zhao, Yan Wang, Zizhou Wang
2026DualScope: Capturing Critical Spatial and Temporal Cues for Distracted Driving Activity Recognition.
Zhijie Qiu, Shuaibo Li, Laixin Zhang, Xuming Hu, Wei Ma
2026DualSpeechLM: Towards Unified Speech Understanding and Generation via Dual Speech Token Modeling with Large Language Models.
Yuanyuan Wang, Dongchao Yang, Yiwen Shao, Hangting Chen, Jiankun Zhao, Zhiyong Wu, Helen Meng, Xixin Wu
2026DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting.
Penghui Wen, Mengwei He, Patrick Filippi, Na Zhao, Feng Zhang, Thomas F. A. Bishop, Zhiyong Wang, Kun Hu
2026DuoKD: Dual Knowledge Distillation from Large Language Models for Robust Graph Neural Networks.
Cuiying Huo, Xiaotong Huang, Dongxiao He, Yixuan Du, Wenhuan Lu, Di Jin
2026Duplex Rewards Optimization for Test-Time Composed Image Retrieval.
Haoliang Zhou, Feifei Zhang, Changsheng Xu
2026DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT.
Guanjie Cheng, Boyi Li, Peihan Wu, Feiyi Chen, Xinkui Zhao, Mengying Zhu, Shuiguang Deng
2026DySy-Det: A Synergistic Framework with Dynamic Reconstruction-Path Consistency for AI-Generated Image Detection.
Fanli Jin, Feng Lin, Gaojian Wang, Tong Wu, Zhisheng Yan
2026DynaQuant: Dynamic Mixed-Precision Quantization for Learned Image Compression.
Youneng Bao, Yulong Cheng, Yiping Liu, Yichen Yang, Peng Qin, Mu Li, Yongsheng Liang
2026Dynamic Agent Grouping ECBS: Scaling Windowed Multi-Agent Path Finding with Completeness Guarantees.
Tiannan Zhang, Rishi Veerapaneni, Shao-Hung Chan, Jiaoyang Li, Maxim Likhachev
2026Dynamic Cognitive Planning for Cognitive-Functional Dialogue: A Case Study in Emotional Support Conversation.
Jiaqi Liu, Yankun Yang, Jiakang Xu, Zhongqiang Du, Wenbin Jiang
2026Dynamic Deep Graph Learning for Incomplete Multi-View Clustering with Masked Graph Reconstruction Loss.
Zhenghao Zhang, Jun Xie, Xingchen Chen, Tao Yu, Hongzhu Yi, Kaixin Xu, Yuanxiang Wang, Tianyu Zong, Xinming Wang, Jiahuan Chen, Guoqing Chao, Feng Chen, Zhepeng Wang, Jungang Xu
2026Dynamic Deep Prompt Optimization for Defending Against Jailbreak Attacks on LLMs.
Doniyorkhon Obidov, Honggang Yu, Xiaolong Guo, Kaichen Yang
2026Dynamic Gaussian Scene Reconstruction from Unsynchronized Videos.
Zhixin Xu, Hengyu Zhou, Yuan Liu, Wenhan Xue, Hao Pan, Wenping Wang, Bin Wang
2026Dynamic Geometric Equivariant Network for Full-Atom Antibody Design.
Weihong Huang, Feng Yang, Qiang Zhang, Juan Liu
2026Dynamic Semantic Tokenization for Time Series via Elastic Sampling on Physics-aware Perception.
Huaizhang Liao, Zhixiong Yang, Jingyuan Xia, Yuheng Sun, Yue Zhang, Shengxi Li, Yongxiang Liu
2026Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks.
Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater
2026Dynamic Weight Adaptation in Spiking Neural Networks Inspired by Biological Homeostasis.
Yunduo Zhou, Bo Dong, Chang Li, Yuanchen Wang, Xuefeng Yin, Yang Wang, Xin Yang
2026Dynamic-Static Collaboration for Unsupervised Domain Adaptive Video-Based Visible-Infrared Person Re-Identification.
Jiaxu Leng, Zhengjie Wang, Shuang Li, Xinbo Gao
2026Dynamic-Static Synergistic Selection Method for Candidate Code Solutions with Generated Test Cases.
Renbiao Liu, Jiang-Tian Xue, Chao-Zeng Ma, Hui Sun, Xin-Ye Li, Ming Li
2026DynamicEarth: How Far Are We from Open-Vocabulary Change Detection?
Kaiyu Li, Xiangyong Cao, Yupeng Deng, Chao Pang, Zepeng Xin, Hui Qiao, Tieliang Gong, Deyu Meng, Zhi Wang
2026DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior.
Ruiyang Ma, Yunhao Zhou, Yipeng Wang, Yi Liu, Zhengyuan Shi, Ziyang Zheng, Kexin Chen, Zhiqiang He, Lingwei Yan, Gang Chen, Qiang Xu, Guojie Luo
2026Dynamics-Aware Planning Representation for Zero-Shot Reinforcement Learning (Student Abstract).
Jungho An, TaeYoung Kim, Haeun Kim, Dongsoo Har
2026D²-VPR: A Parameter-efficient Visual-foundation-model-based Visual Place Recognition Method via Knowledge Distillation and Deformable Aggregation.
Zheyuan Zhang, Jiwei Zhang, Boyu Zhou, Linzhimeng Duan, Hong Chen
2026D²PPO: Diffusion Policy Policy Optimization with Dispersive Loss.
Guowei Zou, Weibing Li, Hejun Wu, Yukun Qian, Yuhang Wang, Haitao Wang
2026D²Pruner: Debiased Importance and Structural Diversity for MLLM Token Pruning.
Evelyn Zhang, Fufu Yu, Aoqi Wu, Zichen Wen, Ke Yan, Shouhong Ding, Biqing Qi, Linfeng Zhang
2026E-Logic Prompt: Unified Energy-Logic Framework for Continual Visual Question Answering.
Jiayao Tan, Tianle Liu, Fuyuan Hu, Wei Feng, Liang Wan
2026E-MaT: Event-oriented Mamba for Egocentric Point Tracking.
Han Han, Wei Zhai, Baocai Yin, Yang Cao, Bin Li, Zhengjun Zha
2026EA-VAE: Learning to Reconstruct Dysarthric Speech via Variational Autoencoder with Encoding Alignment.
Daipeng Zhang, Wenhuan Lu, Xianghu Yue, Hongcheng Zhang, Jianguo Wei
2026EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting.
Peijian Wang, Thu Nguyen
2026EAGLE: Episodic Appearance- and Geometry-aware Memory for Unified 2D-3D Visual Query Localization in Egocentric Vision.
Yifei Cao, Yu Liu, Guolong Wang, Zhu Liu, Kai Wang, Xianjie Zhang, Jizhe Yu, Xun Tu
2026EARG-Net: Edge-Aware Reconstruction-Guided Network for Image Manipulation Detection and Localization.
Yanpu Yu, Zhaoxin Shi, Hanqing Zhao, Tianyi Wei, Wenbo Zhou, Nenghai Yu
2026EASE: Practical and Efficient Safety Alignment for Small Language Models.
Haonan Shi, Guoli Wang, Tu Ouyang, An Wang
2026EC-MVSNet: Enhanced Cascaded Multi-View Stereo with Cross-Scale Relevance Integration.
Shaoqian Wang, Jiadai Sun, Bin Fan, Qiang Wang, Bin Lu, Yuchao Dai
2026ECD: Evidence-guided Contrastive Decoding in Retrieval-Augmented Generation with Accurate Knowledge Reference Adjustment.
Yize Sui, Yan Xu, Kun Hu, Jing Ren, Wenjing Yang
2026ECPv2: Fast, Efficient, and Scalable Global Optimization of Lipschitz Functions.
Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
2026EEG Agent: A Unified Framework for Automated EEG Analysis Using Large Language Models.
Sha Zhao, Mingyi Peng, Haiteng Jiang, Tao Li, Shijian Li
2026EEG-DLite: Dataset Distillation for Efficient Large EEG Model Training.
Yuting Tang, Weibang Jiang, Shanglin Li, Yong Li, Chenyu Liu, Xinliang Zhou, Yi Ding, Cuntai Guan
2026EFX Allocation in (Multi)Hypergraphs.
Thanasis Lianeas, Alkmini Sgouritsa, Minas Marios Sotiriou
2026EFX and PO Allocation Exists for Two Types of Goods.
Vladimir Davidiuk, Yuriy Dementiev, Artur Ignatiev, Danil Sagunov
2026EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding.
Jinchun Du, Bojie Shen, Muhammad Aamir Cheema
2026EHRStruct: A Comprehensive Benchmark Framework for Evaluating Large Language Models on Structured Electronic Health Record Tasks.
Xiao Yang, Xuejiao Zhao, Zhiqi Shen
2026EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images.
Huili Huang, Chengeng Liu, Danrong Zhang, Shail Patel, Anastasiya Masalava, Sagar Sadak, Parisa Babolhavaeji, WeiHong Low, Max Mahdi Roozbahani, J. David Frost
2026ELSPR: Evaluator LLM Training Data Self-Purification on Non-Transitive Preferences via Tournament Graph Reconstruction.
Yan Yu, Yilun Liu, Minggui He, Shimin Tao, Weibin Meng, Xinhua Yang, Li Zhang, Hongxia Ma, Dengye Li, Daimeng Wei, Boxing Chen, Fuliang Li
2026EM-KD: Distilling Efficient Multimodal Large Language Model with Unbalanced Vision Tokens.
Ze Feng, Sen Yang, Boqiang Duan, Wankou Yang, Jingdong Wang
2026EMAformer: Enhancing Transformer Through Embedding Armor for Time Series Forecasting.
Zhiwei Zhang, Xinyi Du, Xuanchi Guo, Weihao Wang, Wenjuan Han
2026EMOD: A Unified EEG Emotion Representation Framework Leveraging V-A Guided Contrastive Learning.
Yuning Chen, Sha Zhao, Shijian Li, Gang Pan
2026EMODIS: A Benchmark for Context-Dependent Emoji Disambiguation in Large Language Models.
Jiacheng Huang, Ning Yu, Xiaoyin Yi
2026ENCORE: Entropy-guided Reward Composition for Multi-head Safety Reward Models.
Xiaomin Li, Xupeng Chen, Jingxuan Fan, Eric Hanchen Jiang, Mingye Gao
2026ENHash: Error Notebook-Guided Fine-Grained Learning for Unsupervised Cross-Modal Hashing.
Hao Fu, Zebing Yao, Chuangchuang Tan, Guanghua Gu
2026EPIC: Explanation of Pretrained Image Classification Networks via Prototypes.
Piotr Borycki, Magdalena Tredowicz, Szymon Janusz, Jacek Tabor, Przemyslaw Spurek, Arkadiusz Lewicki, Lukasz Struski
2026EPO: Diverse and Realistic Protein Ensemble Generation via Energy Preference Optimization.
Yuancheng Sun, Yuxuan Ren, Zhaoming Chen, Xu Han, Kang Liu, Qiwei Ye
2026EPSegFZ: Efficient Point Cloud Semantic Segmentation for Few- and Zero-Shot Scenarios with Language Guidance.
Jiahui Wang, Haiyue Zhu, Haoren Guo, Abdullah Al Mamun, Cheng Xiang, Tong Heng Lee
2026ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking.
Yuzheng Cai, Yanzhao Zhang, Dingkun Long, Mingxin Li, Pengjun Xie, Weiguo Zheng
2026ESCA: An Emotional Support Conversation Agent for Enhancing Reasonable Strategy Planning and Effective Expression.
Jing Li, Yanxin Luo, Donghong Han, Yimeng Zhan, Xiaoming Fu, Baiyou Qiao, Gang Wu
2026ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation.
Siqi Sun, Ben Peng Wu, Mali Jin, Peizhen Bai, Hanpei Zhang, Xingyi Song
2026ESMC: MLLM-Based Embedding Selection for Explainable Multiple Clustering.
Xinyue Wang, Yuheng Jia, Hui Liu, Junhui Hou
2026EVOKE: Efficient and High-Fidelity EEG-to-Video Reconstruction via Decoupling Implicit Neural Representation.
Haodong Jing, Panqi Yang, Dongyao Jiang, Zhipeng Liu, Nanning Zheng, Yongqiang Ma
2026Early Warning of Intraoperative Adverse Events via Transformer-Driven Multi-Label Learning.
Xueyao Wang, Xiuding Cai, Honglin Shang, Yaoyao Zhu, Yu Yao
2026Earth-Adapter: Bridge the Geospatial Domain Gaps with a Frequency-Guided Mixture of Adapters.
Xiaoxing Hu, Ziyang Gong, Yupei Wang, Yuru Jia, Fei Lin, Dexiang Gao, Ke An, Jianhong Han, Zhuoran Sun, Gen Luo, Xue Yang
2026EarthCrafter: Scalable 3D Earth Generation via Dual-Sparse Latent Diffusion.
Shang Liu, Chenjie Cao, Chaohui Yu, Wen Qian, Jing Wang, Fan Wang
2026Easy for Children, Hard for AI: The Limits of Multimodal LLMs in Early Childhood Learning.
Jingping Liu, Xueyan Wu, Hanxuan Chen, Ziyan Liu, Zhangquan Chen, Ronghao Chen, Huacan Wang
2026Easy to Learn, Yet Hard to Forget: Towards Robust Unlearning Under Bias.
JuneHyoung Kwon, MiHyeon Kim, Eunju Lee, Yoonji Lee, Seunghoon Lee, YoungBin Kim
2026EasyText: Controllable Diffusion Transformer for Multilingual Text Rendering.
Runnan Lu, Yuxuan Zhang, Jiaming Liu, Haofan Wang, Yiren Song
2026EccoMamba: Enhanced Cross-hierarchical Continuity Orthogonal Mamba for Medical Image Segmentation.
Junlin Xu, Jincan Li, Feifei Cui, Zhuang Zhang, Jialiang Yang, Shuting Jin, Qiangguo Jin, Yajie Meng
2026EchoBat: Echo-Vision Enhancement and Echo-Layered Sampling for Video LLMs Hallucination Mitigation.
Shuai Liu, Da Chen, Yiheng Pan, Chenwei Tian, Qian Li, Chenhao Lin
2026EchoEdit: Consistent Multi-Hop Question Answering via Ripple Control in Knowledge Editing.
Jinwei Shi, Wenxuan Huang, Yu Xing, Yunhui Liu, Tao Zheng, Bin Chong, Tieke He
2026EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding.
Kai Zou, Hongbo Liu, Dian Zheng, Jianxiong Gao, Zhiwei Zhao, Bin Liu
2026EchoMimicV3: 1.3B Parameters Are All You Need for Unified Multi-Modal and Multi-Task Human Animation.
Rang Meng, Yan Wang, Weipeng Wu, Ruobing Zheng, Yuming Li, Chenguang Ma
2026Echoless Label-Based Pre-computation for Memory-Efficient Heterogeneous Graph Learning.
Jun Hu, Shangheng Chen, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026EcoAgent: An Efficient Device-Cloud Collaborative Multi-Agent Framework for Mobile Automation.
Biao Yi, Xueyu Hu, Yurun Chen, Shengyu Zhang, Hongxia Yang, Fan Wu
2026EcoDiffusion: Uncertainty-Aware Emulation of Ecosystem Processes with Conditional Diffusion for Long Sequences with Single-Step Initialization.
Ruohan Li, Zhihao Wang, Xiaowei Jia, Gengchen Mai, Lei Ma, George C. Hurtt, Quan Shen, Zhili Li, Yiqun Xie
2026Economics of Content Creation with Generative AI.
Boaz Taitler
2026EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems.
Qingqing Liang, Chunyang Wang, Peiwei Xia, Yanan Zeng, Xin Liu, Xuesong Lu, Aoying Zhou
2026Edge Consistency for 4D Gaussian Splatting in Dynamic Scene Rendering.
Boya Shi, Thomas N. Guan, Xiaodong Yi
2026Edge Self-Adversarial Augmentation Enhances Graph Contrastive Learning Against Neighborhood Inconsistency.
Chunchun Chen, Xing Wei, Jiayi Yang, Chenrun Wang, Yiwei Fu, Yuxing Zhang, Xin Sun, Rui Fan, Wei Ye
2026Edge-Binary Public Goods Games.
Thekla Hamm, Paloma T. Lima
2026Edge-Centric Relational Reasoning for 3D Scene Graph Prediction.
Yanni Ma, Hao Liu, Yulan Guo, Theo Gevers, Martin R. Oswald
2026EdgeMTSC: A Lightweight Large-Kernel ConvNet for Multivariate Time Series Classification.
Xueyi Zhou, Zhenyu Li, Dong-Kyu Chae
2026Editing Is a Bargaining Game: Balanced Knowledge Editing in Large Language Models.
Chenghao Xu, Jiexi Yan, Muli Yang, Fen Fang, Huilin Chen, Cheng Deng
2026Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning?
Zexi Li, Xiangzhu Wang, William F. Shen, Meghdad Kurmanji, Xinchi Qiu, Dongqi Cai, Chao Wu, Nicholas D. Lane
2026EduGuardBench: A Holistic Benchmark for Evaluating the Pedagogical Fidelity and Adversarial Safety of LLMs as Simulated Teachers.
Yilin Jiang, Mingzi Zhang, Xuanyu Yin, Sheng Jin, Suyu Lu, Zuocan Ying, Zengyi Yu, Xiangjie Kong
2026EduMod-LLM: A Modular Approach for Designing Flexible and Transparent Educational Assistants.
Meenakshi Mittal, Rishi Khare, Mihran Miroyan, Chancharik Mitra, Narges Norouzi
2026Educating the Public in Artificial Intelligence: Insights from a Large-Scale Course.
Maria Kasinidou, Styliani Kleanthous, Jahna Otterbacher, Evgenia Christoforou
2026Effective Robotic Cloth Grasping Through Suppressing False Discoveries.
Xingyu Zhu, Zhiwen Tu, Yan Wu, Shan Luo, Hechang Chen, Yixing Gao
2026Effective Strategies for Teaching Machine Learning.
Firas Moosvi, Fraida Fund, Varada Kolhatkar, Meiying Qin, Thomas Price, Lisa Zhang
2026Efficient Chromosome Parallelization for Precision Medicine Genomic Workflows.
Daniel Mas Montserrat, Ray Verma, Míriam Barrabés, Francisco M. de la Vega, Carlos D. Bustamante, Alexander G. Ioannidis
2026Efficient Contextual Bandit Learning via Reward-Space Sampling and Online Optimization (Student Abstract).
Egor Suraveikin, Dastan Omirzak, Roman Sultimov, Yury Maximov
2026Efficient Diffusion Planning with Temporal Diffusion.
Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, Shaohui Peng, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Ling Li
2026Efficient Few-Step Solution Generation via Discrete Flow Matching for Combinatorial Optimization.
Yuanshu Li, Di Wang, Wei Du, Xuan Wu, Peng Zhao, Yubin Xiao, You Zhou
2026Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model.
Kuai Dai, Hui Su, Xutao Li, Chengxing Zhai
2026Efficient Hallucination Detection: Adaptive Bayesian Estimation of Semantic Entropy with Guided Semantic Exploration.
Qiyao Sun, Xingming Li, Xixiang He, Ao Cheng, Xuanyu Ji, Hailun Lu, Runke Huang, Qingyong Hu
2026Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak.
Haoxuan Ji, Zheng Lin, Zhenxing Niu, Xinbo Gao, Gang Hua
2026Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization.
Tomás Tokár, Scott Sanner
2026Efficient Model Specialization via Training-time and Test-time Adaptation.
Huanrui Yang
2026Efficient Multiagent Planning via Shared Action Suggestions.
Dylan M. Asmar, Mykel J. Kochenderfer
2026Efficient Multimodal Large Language Model via Dynamic KV Cache Quantization.
Jiahao Fan, Chien-Ming Chen
2026Efficient Plug-and-Play Weight Refinement for Sparse Large Models.
Jingcheng Xie, Yinda Chen, Xiaoyu Liu, Yinglong Li, Haoyuan Shi, Zhiwei Xiong
2026Efficient Post-Training Refinement of Latent Reasoning in Large Language Models.
Xinyuan Wang, Dongjie Wang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Sixun Dong, Kunpeng Liu, Yanjie Fu
2026Efficient Preference Alignment via Pareto Exploration (Student Abstract).
Pengfei Liu, Rui Kong, Zongzhang Zhang
2026Efficient Protein Optimization via Structure-aware Hamiltonian Dynamics.
Jiahao Wang, Shuangjia Zheng
2026Efficient Reasoning for Large Reasoning Language Models via Certainty-Guided Reflection Suppression.
Jiameng Huang, Baijiong Lin, Guhao Feng, Jierun Chen, Di He, Lu Hou
2026Efficient Reinforcement Learning for Zero-Shot Coordination in Evolving Games.
Bingyu Hui, Lebin Yu, Quanming Yao, Yunpeng Qu, Xudong Zhang, Jian Wang
2026Efficient Robot Learning from Diverse Data.
Chang Shi
2026Efficient Rule Induction by Ignoring Pointless Rules.
Andrew Cropper, David M. Cerna
2026Efficient Segmentation with Multimodal Large Language Model via Token Routing.
Changsong Wen, Zelin Peng, Yu Huang, Wei Shen
2026Efficient Solution and Learning of Robust Factored MDPs.
Yannik Schnitzer, Alessandro Abate, David Parker
2026Efficient Switchable Safety Control in LLMs via Magic-Token-Guided Co-Training.
Jianfeng Si, Lin Sun, Zhewen Tan, Xiangzheng Zhang
2026Efficient Tensorized Multi-View Anchor Graph Clustering with Affinity Propagation for Remote Sensing Data.
Yongshan Zhang, Kangyue Zheng, Shuaikang Yan, Xinxin Wang, Zhihua Cai
2026Efficient Thought Space Exploration Through Strategic Intervention.
Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin
2026Efficient Transcoder Adaptation for Fine-Tuned Models: Revealing Medical Reasoning Mechanisms in Large Language Models.
Zhouxing Tan, Hanlin Xue, Yulong Wan, Ruochong Xiong, Xu Chu, Xiang Li, Junfei Liu
2026Efficient Verification and Falsification of ReLU Neural Barrier Certificates.
Dejin Ren, Yiling Xue, Taoran Wu, Bai Xue
2026Efficient and Adaptive Simultaneous Speech Translation with Fully Unidirectional Architecture.
Biao Fu, Donglei Yu, Minpeng Liao, Chengxi Li, Xinjie Chen, Yidong Chen, Kai Fan, Xiaodong Shi
2026Efficient and Effective In-context Demonstration Selection with Coreset.
Zihua Wang, Jiarui Wang, Haiyang Xu, Ming Yan, Fei Huang, Xu Yang, Xiu-Shen Wei, Siya Mi, Yu Zhang
2026Efficient and Reliable Hitting-Set Computations for the Implicit Hitting Set Approach.
Hannes Ihalainen, Dieter Vandesande, André Schidler, Jeremias Berg, Bart Bogaerts, Matti Järvisalo
2026Efficient, Secure, Differentially Private Deep Learning in the Two-Server Model.
Jun Feng, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang
2026EfficientFSL: Enhancing Few-Shot Classification via Query-Only Tuning In Vision Transformers.
Wenwen Liao, Hang Ruan, Jianbo Yu, Bing Song, Yuansong Wang, Xiaofeng Yang
2026EfficientFlow: Efficient Equivariant Flow Policy Learning for Embodied AI.
Jianlei Chang, Ruofeng Mei, Wei Ke, Xiangyu Xu
2026Efficiently Computing Compact Formal Explanations.
Min Wu, Xiaofu Li, Haoze Wu, Clark W. Barrett
2026Efficiently Enhancing Long-term Series Forecasting via Adaptive Lookback with Wavelets.
Suxin Tong, Jingling Yuan
2026Efficiently Seeking Flat Minima for Better Generalization in Fine-Tuning Large Language Models and Beyond.
Jiaxin Deng, Qingcheng Zhu, Junbiao Pang, Linlin Yang, Zhongqian Fu, Baochang Zhang
2026Ego-PMOVE: Prompt-aware Mixture of View Experts Network for Egocentric Gaze Prediction.
Heqian Qiu, Lanxiao Wang, Taijin Zhao, Zhaofeng Shi, Xiang Li, Linfeng Xu, Hongliang Li
2026EgoCross: Benchmarking Multimodal Large Language Models for Cross-Domain Egocentric Video Question Answering.
Yanjun Li, Yuqian Fu, Tianwen Qian, Qi'ao Xu, Silong Dai, Danda Pani Paudel, Luc Van Gool, Xiaoling Wang
2026EgoEMS: A High-Fidelity Multimodal Egocentric Dataset for Cognitive Assistance in Emergency Medical Services.
Keshara Weerasinghe, Xueren Ge, Tessa Heick, Lahiru Nuwan Wijayasingha, Anthony Cortez, Abhishek Satpathy, John A. Stankovic, Homa Alemzadeh
2026Eguard: Defending LLM Embeddings Against Inversion Attacks via Text Mutual Information Optimization.
Tiantian Liu, Hongwei Yao, Feng Lin, Tong Wu, Zhan Qin, Kui Ren
2026EigenShield: Inference-Time, Model-Agnostic Jailbreaking Defense via Causal Subspace Filtering.
Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Ranganath Krishnan, Amit Ranjan Trivedi
2026ElastoGen: 4D Generative Elastodynamics.
Yutao Feng, Yintong Shang, Xiang Feng, Lei Lan, Shandian Zhe, Tianjia Shao, Hongzhi Wu, Kun Zhou, Chenfanfu Jiang, Yin Yang
2026ElementaryNet: A Non-Strategic Neural Network for Predicting Human Behavior in Normal-Form Games.
Greg d'Eon, Hala Murad, Kevin Leyton-Brown, James R. Wright
2026Elevating AI on the Edge: A Demonstration of MIMaaS (Machine Intelligence with Microcontroller-as-a-Service).
Sebastian Zimmermann, René Groh, Andreas M. Kist
2026Eliciting Causal Knowledge from Agents.
Matteo Ceriscioli
2026Eliciting Chain-of-Thought in Base LLMs via Gradient-Based Representation Optimization.
Zijian Wang, Yanxiang Ma, Chang Xu
2026Elite Pattern Reinforcement for Vehicle Routing Problems.
Ning Li, Peng Lin, Peng Zhang, Ruichen Tian
2026Ellipsoid-Based Decision Boundaries for Open Intent Classification.
Yuetian Zou, Hanlei Zhang, Hua Xu, Songze Li, Long Xiao
2026Embracing Positional Bias in Multiple-Choice Question Answering via Permutation Equivariant Neural Networks.
Chengyu Jiao, Siyin Huang, Yu Zhang
2026EmbryoDiff: A Conditional Diffusion Framework with Multi-Focal Feature Fusion for Fine-Grained Embryo Developmental Stage Recognition.
Yong Sun, Zhengjie Zhang, Junyu Shi, Zhiyuan Zhang, Lijiang Liu, Qiang Nie
2026Emergent Fast-Slow Dynamics in Multi-Agent Q-Learning for Networked Stochastic Games.
Yuxin Geng, Wolfram Barfuss, Xingru Chen
2026EmoVid: A Multimodal Emotion Video Dataset for Emotion-Centric Video Understanding and Generation.
Zongyang Qiu, Bingyuan Wang, Xingbei Chen, Yingqing He, Zeyu Wang
2026Emotion and Intention Guided Multi-Modal Learning for Sticker Response Selection.
Yuxuan Hu, Jian Chen, Yuhao Wang, Zixuan Li, Jing Xiong, Pengyue Jia, Wei Wang, Chengming Li, Xiangyu Zhao
2026Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier.
Hyeongseop Rha, Jeong Hun Yeo, Yeonju Kim, Yong Man Ro
2026Emotion-Conditioned Motion Sub-spaces with Flow Matching for Real-Time Audio-Driven Talking Heads.
Haoyu Wang, Xiaozhe Xin, Xiaoyu Qin, Meiguang Jin, Junfeng Ma, Dan Xu, Jia Jia
2026Empowering DINO Representations for Underwater Instance Segmentation via Aligner and Prompter.
Zhiyang Chen, Chen Zhang, Hao Fang, Runmin Cong
2026Empowering LLMs with Symbolic Representation and Reasoning.
Fengxiang Cheng
2026Empowering Semantic-Sensitive Underwater Image Enhancement with VLM.
Guodong Fan, Shengning Zhou, Genji Yuan, Huiyu Li, Jingchun Zhou, Jinjiang Li
2026Empowering Sparse-Input Neural Radiance Fields with Dual-Level Semantic Guidance from Dense Novel Views.
Yingji Zhong, Kaichen Zhou, Zhihao Li, Lanqing Hong, Zhenguo Li, Dan Xu
2026EnViT: Enhancing the Performance of Early-Exit Vision Transformers via Exit-Aware Structured Dropout-Enabled Self-Distillation.
Yonghao Dong, Qiang He, Penghong Rui, Zhenzhe Zheng, Zhao Li, Feifei Chen, Hai Jin, Yun Yang
2026Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity.
YongGeon Lee, Jibin Hwang, Alfred Malengo Kondoro, Juhyun Song, Youngtae Noh
2026Encode Geometric Diagram as Geo-Graph in Geometry Problem Solving.
Wenjun Wu, Lingling Zhang, Bo Zhao, Bo Li, Xinyu Zhang, Yaqiang Wu
2026End-Effector Cartesian Velocity Control for Redundant Loader Cranes Using Reinforcement Learning (Abstract Reprint).
Abdolreza Taheri, Amy Rankka, Pelle Gustafsson, Joni Pajarinen, Reza Ghabcheloo
2026End-to-End Contrastive Language-Speech Pretraining Model for Long-Form Spoken Question Answering.
Jiliang Hu, Zuchao Li, Baoyuan Qi, Guoming Liu, Ping Wang
2026End-to-End Knowledge Distillation for Unsupervised Domain Adaptation with Large Vision-language Models.
Yangtao Wang, Xingwei Deng, Yanzhao Xie, Weilong Peng, Siyuan Chen, Xiaocui Li, Maobin Tang, Meie Fang
2026End-to-End Multi-Person Pose Estimation with Pose-Aware Video Transformer.
Yonghui Yu, Jiahang Cai, Xun Wang, Wenwu Yang
2026EndoIR: Degradation-Agnostic All-in-One Endoscopic Image Restoration via Noise-Aware Routing Diffusion.
Tong Chen, Xinyu Ma, Long Bai, Wenyang Wang, Yue Sun, Luping Zhou
2026Endowing Vision-Language Models with System 2 Thinking for Fine-grained Visual Recognition.
Yutong Yang, Lifu Huang, Yijie Lin, Xi Peng, Mouxing Yang
2026Energy-based Autoregressive Generation for Neural Population Dynamics.
Ningling Ge, Sicheng Dai, Yu Zhu, Shan Yu
2026Energy-guided Dual Domain-invariant Prompting Framework with Fourier Regularization for Generalized Few-Shot Medical Segmentation.
Shaolei Liu, Yuting Wu, Dongchen Zhu, Jiamao Li
2026Enhanced Federated Deep Multi-View Clustering Under Uncertainty Scenario.
Bingjun Wei, Xuemei Cao, Jiafen Liu, Haoyang Liang, Xin Yang
2026Enhanced Privacy Leakage from Noise-Perturbed Gradients via Gradient-Guided Conditional Diffusion Models.
Jiayang Meng, Tao Huang, Hong Chen, Chen Hou, Guolong Zheng
2026Enhanced Recommendation Systems with Retrieval-Augmented Large Language Model (Abstract Reprint).
Chuyuan Wei, Ke Duan, Shengda Zhuo, Hongchun Wang, Shuqiang Huang, Jie Liu
2026Enhancing All-to-X Backdoor Attacks with Optimized Target Class Mapping.
Lei Wang, Yulong Tian, Hao Han, Fengyuan Xu
2026Enhancing Binary Encoded Crime Linkage Analysis Using Siamese Network.
Yicheng Zhan, Fahim Ahmed, Amy Burrell, Matthew J. Tonkin, Sarah Galambos, Jessica Woodhams, Dalal Alrajeh
2026Enhancing Chemical Explainability Through Counterfactual Masking.
Lukasz Janisiów, Marek Kochanczyk, Bartosz Michal Zielinski, Tomasz Danel
2026Enhancing Control Policy Smoothness by Aligning Actions with Predictions from Preceding States.
Kyoleen Kwak, Hyoseok Hwang
2026Enhancing Conversational Recommender Systems with Tree-Structured Knowledge and Pretrained Language Models.
Yongwen Ren, Chao Wang, Peng Du, Chuan Qin, Dazhong Shen, Hui Xiong
2026Enhancing DPSGD via Per-Sample Momentum and Low-Pass Filtering.
Xincheng Xu, Thilina Ranbaduge, Qing Wang, Thierry Rakotoarivelo, David Smith
2026Enhancing Diffusion Policies with Distribution-Matching Generator in Offline Reinforcement Learning.
Xuemin Hu, Shen Li, Yingfen Xu, Bo Tang, Long Chen
2026Enhancing Exploration and Exploitation in Hierarchical Reinforcement Learning with Subgoal Graph Learning.
Yibo Zhang, Dengpeng Xing
2026Enhancing Generalization of Depth Estimation Foundation Model via Weakly-Supervised Adaptation with Regularization.
Yan Huang, Yongyi Su, Xin Lin, Le Zhang, Xun Xu
2026Enhancing Interpretability for Vision Models via Shapley Value Optimization.
Kanglong Fan, Yunqiao Yang, Chen Ma
2026Enhancing Kernel Power $K$-means: Scalable and Robust Clustering with Random Fourier Features and Possibilistic Method.
Yixi Chen, Weixuan Liang, Tianrui Liu, Jun-Jie Huang, Ao Li, Xueling Zhu, Xinwang Liu
2026Enhancing Logical Expressiveness in Graph Neural Networks via Path-Neighbor Aggregation.
Han Yu, Xiaojuan Zhao, Aiping Li, Kai Chen, Ziniu Liu, Zhichao Peng
2026Enhancing Medical Large Vision-Language Models via Alignment Distillation.
Aofei Chang, Ting Wang, Fenglong Ma
2026Enhancing Meme Emotion Understanding with Multi-Level Modality Enhancement and Dual-Stage Modal Fusion.
Yi Shi, Wenlong Meng, Zhenyuan Guo, Chengkun Wei, Wenzhi Chen
2026Enhancing Multimodal Misinformation Detection by Replaying the Whole Story from Image Modality Perspective.
Bing Wang, Ximing Li, Yanjun Wang, Changchun Li, Lin Yuanbo Wu, Buyu Wang, Shengsheng Wang
2026Enhancing Noise Resilience in Face Clustering via Sparse Differential Transformer.
Dafeng Zhang, Yongqi Song, Shizhuo Liu
2026Enhancing PIBT via Multi-Action Operations.
Egor Yukhnevich, Anton Andreychuk
2026Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection.
Kai Sun, Yuxin Lin, Bo Dong, Jingyao Zhang, Bin Shi
2026Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining.
Bingxuan Li, Pengyi Shi, Amy R. Ward
2026Enhancing Retrieval-Augmented Large Vision Language Models via Knowledge Conflict Mitigation.
Wenbin An, Jiahao Nie, Feng Tian, Mingxiang Cai, Yaqiang Wu, Xiaoqin Zhang, Shijian Lu
2026Enhancing Robustness of Offline Reinforcement Learning Under Data Corruption via Sharpness-Aware Minimization (Student Abstract).
Le Xu, Jiayu Chen
2026Enhancing Rotation-Invariant 3D Learning with Global Pose Awareness and Attention Mechanisms.
Jiaxun Guo, Manar Amayri, Nizar Bouguila, Xin Liu, Wentao Fan
2026Enhancing Spatial Reasoning Through Visual and Textual Thinking.
Xun Liang, Xin Guo, Zhongming Jin, Weihang Pan, Penghui Shang, Deng Cai, Binbin Lin, Jieping Ye
2026Enhancing Stability and Fidelity for Zero-Shot TTS with a Multi-Level Evaluator.
Hualei Wang, Na Li, Chuke Wang, Shu Wu, Zhifeng Li, Dong Yu
2026Enhancing Strategy Logic with Procedural Rationality.
Ruiqi Jin, Shuyi Li, Yongmei Liu
2026Enhancing Uncertainty Estimation in LLMs with Expectation of Aggregated Internal Belief.
Zeguan Xiao, Diyang Dou, Boya Xiong, Yun Chen, Guanhua Chen
2026Enhancing the Knowledge Tracing via a Plug-In Guided Diffusion Model.
Shuaishuai Zu, Jihao Zhao, Biao Qin
2026Enumerating Minimal Unsatisfiable Cores of LTLf Formulae.
Antonio Ielo, Giuseppe Mazzotta, Rafael Peñaloza, Francesco Ricca
2026EoH-S: Evolution of Heuristic Set Using LLMs for Automated Heuristic Design.
Fei Liu, Yilu Liu, Qingfu Zhang, Xialiang Tong, Mingxuan Yuan
2026EquaCode: A Multi-Strategy Jailbreak Approach for Large Language Models via Equation Solving and Code Completion.
Zhen Liang, Hai Huang, Zhengkui Chen
2026Equilibrium-Driven Vertical Federated Learning with Selective Privacy Protection.
Yuanzhe Peng, Wenwei Zhao, Zhuo Lu, Jie Xu
2026Equivariant Atomic and Lattice Modeling Using Geometric Deep Learning for Crystal Structure Optimization.
Ziduo Yang, Yi-Ming Zhao, Xian Wang, Wei Zhuo, Xiaoqing Liu, Lei Shen
2026Error Correction in Radiology Reports: A Knowledge Distillation-Based Multi-Stage Framework.
Jinge Wu, Zhaolong Wu, Ruizhe Li, Tong Chen, Abul Hasan, Yunsoo Kim, Jason Pui Yin Cheung, Teng Zhang, Honghan Wu
2026Error Slice Discovery via Manifold Compactness.
Han Yu, Hao Zou, Jiashuo Liu, Renzhe Xu, Yue He, Xingxuan Zhang, Peng Cui
2026Escaping Optimization Stagnation: Taking Steps Beyond Task Arithmetic via Difference Vectors.
Jinping Wang, Zhiqiang Gao, Dinggen Zhang, Zhiwu Xie
2026Escaping the CAM Shadow: Uncertainty-Guided Reliable Learning for Weakly Supervised Semantic Segmentation.
Luyao Chang, Leiting Chen, Chen Yang, Chuan Zhou
2026EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing.
Fan Gao, Dongyuan Li, Ding Xia, Fei Mi, Yasheng Wang, Lifeng Shang, Baojun Wang
2026Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Misinformation Engagement on Social Media.
Lin Tian, Marian-Andrei Rizoiu
2026Estimating the True Distribution of Data Collected with Randomized Response.
Carlos Antonio Pinzón, Ehab ElSalamouny, Lucas Massot, Alexis Miller, Héber Hwang Arcolezi, Catuscia Palamidessi
2026Ethical Decision-making with AI: Value Alignment and the Role of Reasoning.
Samarth Khanna
2026Ev-iCRF: Self-supervised Event-guided iCRF Estimation for HDR Image Reconstruction.
Xucheng Guo, Bing Li, Lin Wang, Yiran Shen
2026EvDiff3D: Event-Aware Diffusion Repair for High-Fidelity Event-Based 3D Reconstruction.
Kanghao Chen, Zixin Zhang, Hangyu Li, Lin Wang, Zeyu Wang
2026EvalMuse-40K: A Fine-Grained Benchmark with Comprehensive Human Annotations for Text-to-Image Generation Model Alignment Evaluation.
Shuhao Han, Haotian Fan, Jiachen Fu, Liang Li, Tao Li, Junhui Cui, Yunqiu Wang, Yang Tai, Jingwei Sun, Chun-Le Guo, Chongyi Li
2026EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents.
Kirtan Brijeshbhai Soni, Krish Rupapara, Arpit Rana, Ghanshyam Verma, Paul Buitelaar
2026Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios.
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
2026Evaluating Online Moderation via LLM-Powered Counterfactual Simulations.
Giacomo Fidone, Lucia C. Passaro, Riccardo Guidotti
2026Evaluating the Factuality of Large Language Models Using Multiple Plug-and-Play Fact Sources.
Zhaoheng Huang, Yutao Zhu, Jirong Wen, Zhicheng Dou
2026Evaluating, Synthesizing, and Enhancing for Customer Support Conversation.
Jie Zhu, Huaixia Dou, Junhui Li, Lifan Guo, Feng Chen, Chi Zhang, Fang Kong
2026Event-Guided Scene Text Image Super-Resolution.
Zihan Qi, Zeyu Xiao, Haoyi Zhao, Yang Zhao, Feng Xue, Wei Jia
2026Event-Guided Super-Resolving Blurry Image via Asymmetric Integral Driven Consistency.
Chi Zhang, Xiang Zhang, Lei Yu, Gui-Song Xia, Yuming Fang, Wenhan Yang
2026Every Little Bit Helps: Exploring Better Utilization of Unlabeled Data for Semi-supervised Singing Melody Extraction Using Multi-bands Diffusion Model.
Shuai Yu, Xiaoliang He, Kangjie Dong, Yi Yu
2026Evidence-aware Integration and Domain Identification of Spatial Transcriptomics Data.
Wei Zhang, Siyu Yi, Lezhi Chen, Yifan Wang, Ziyue Qiao, Yongdao Zhou, Wei Ju
2026EvoEmpirBench: Dynamic Spatial Reasoning with Agent-ExpVer.
Pukun Zhao, Longxiang Wang, Miaowei Wang, Chen Chen, Fanqing Zhou, Haojian Huang
2026EvoFMVC: Trusted Federated Multi-View Clustering with Evolutionary Fusion.
Li Zhang, Pinhan Fu, Li Lv, Qian Guo, Liang Du, Xinyan Liang
2026EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization.
Yedidya Kfir, Elad Sarafian, Yoram Louzoun, Sarit Kraus
2026EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models.
Linglin Jing, Yuting Gao, Zhigang Wang, Wang Lan, Yiwen Tang, Weiyun Wang, Wenhai Wang, Qingpei Guo
2026Evolving Generalist Virtual Agents with Generative and Associative Memory.
Zhenkui Zhang, Wendong Bu, Kaihang Pan, Bingchen Miao, Wenqiao Zhang, Guoming Wang, Wei Ji, Rui Tang, Juncheng Li, Siliang Tang
2026Evolving Semantic Propagation for Aerial Semantic 3D Gaussian Splatting.
Zihan Gao, Lingling Li, Xu Liu, Fang Liu, Licheng Jiao, Puhua Chen, Wenping Ma, Shuyuan Yang
2026ExPairT-LLM: Exact Learning for LLM Code Selection by Pairwise Queries.
Tom Yuviler, Dana Drachsler-Cohen
2026Exact Algorithms for Distance to Unique Vertex Cover.
Foivos Fioravantes, Dusan Knop, Nikolaos Melissinos, Michal Opler, Manolis Vasilakis
2026Exact Combinatorial Multi-Class Graph Cuts for Semi-Supervised Learning.
Mohammad Mahdi Omati, Yasin Salajeghe, Mahshad Moradi, Arash Amini
2026Exact Optimization for Minimum Dominating Sets.
Enqiang Zhu, Qiqi Bao, Yu Zhang, Chanjuan Liu, Pu Wu
2026Exact Shapley Attributions in Quadratic-time for FANOVA Gaussian Processes.
Majid Mohammadi, Krikamol Muandet, Ilaria Tiddi, Annette ten Teije, Siu Lun Chau
2026Exact and Approximate Maximin Share Allocations in Multi-Graphs.
George Christodoulou, Symeon Mastrakoulis
2026Exclusion Zones of Instant Runoff Voting.
Kiran Tomlinson, Johan Ugander, Jon M. Kleinberg
2026Existence of 2-EFX Allocations of Chores.
Jugal Garg, Aniket Murhekar
2026Exo2Ego: Exocentric Knowledge Guided MLLM for Egocentric Video Understanding.
Haoyu Zhang, Qiaohui Chu, Meng Liu, Haoxiang Shi, Yaowei Wang, Liqiang Nie
2026ExoTimer: Leveraging Large Language Models for Time Series Forecasting with Exogenous Variables.
Lan Wu, Xuebin Wang, Chenglong Ge, Ruijuan Chu, Linyu Wang
2026Expand Your SCOPE: Semantic Cognition over Potential-Based Exploration for Embodied Visual Navigation.
Ningnan Wang, Weihuang Chen, Liming Chen, Haoxuan Ji, Zhongyu Guo, Xuchong Zhang, Hongbin Sun
2026Expandable and Differentiable Dual Memories with Orthogonal Regularization for Exemplar-free Continual Learning.
Hyung-Jun Moon, Sung-Bae Cho
2026Experience with Single Domain Generalization in Real World Medical Imaging Deployments.
Ayan Banerjee, Komandoor Srivathsan, Sandeep K. S. Gupta
2026Experiential Fairness: Bridging the Gap Between User Experience and Resource-Centric Fairness in Online LLM Services.
Jiahua Huang, Wentai Wu, Yongheng Liu, Guozhi Liu, Yang Wang, Weiwei Lin
2026Experimentation on Endogenous Graphs.
Wenshuo Wang, Edvard Bakhitov, Dominic Coey
2026Expert-Guided Prompting and Retrieval-Augmented Generation for Emergency Medical Service Question Answering.
Xueren Ge, Sahil Murtaza, Anthony Cortez, Homa Alemzadeh
2026Expert-Inspired Multi-Agent Coordination for Multi-Objective Molecular Optimization.
Daojian Zeng, Tianle Li, Jiahao Yang, Jiacai Yi, Xieping Gao, Lincheng Jiang, Tengfei Ma, Xiangxiang Zeng
2026ExpertAD: Enhancing Autonomous Driving Systems with Mixture of Experts.
Haowen Jiang, Xinyu Huang, You Lu, Dingji Wang, Yuheng Cao, Chaofeng Sha, Bihuan Chen, Keyu Chen, Xin Peng
2026Explain with Visual Keypoints Like a Real Mentor! A Benchmark for Multimodal Solution Explanation.
Jaewoo Park, Jungyang Park, Dongju Jang, Jiwan Chung, Byungwoo Yoo, Jaewoo Shin, Seonjoon Park, Taehyeong Kim, Youngjae Yu
2026Explain-from-Stroke: Capturing Invisible Learning Processes Through Handwriting Dynamics Analysis.
Ryosuke Nakamoto, Brendan Flanagan, Kohei Nakamura, Hiroaki Ogata
2026Explainable Depression Assessment from Face Videos by Weakly Supervised Learning.
Rongfan Liao, Xiangyu Kong, Shiqing Tang, Lang He, Changzeng Fu, Weicheng Xie, Xiaofeng Liu, Lu Liu, Siyang Song
2026Explainable Melanoma Diagnosis with Contrastive Learning and LLM-based Report Generation.
Junwen Zheng, Xinran Xu, Li Rong Wang, Chang Cai, Lucinda Siyun Tan, Dingyuan Wang, Hong Liang Tey, Xiuyi Fan
2026Explainable Oracle Bone Script Recognition via Multimodal Pictographic Reasoning.
Yin Wu, Zhengxuan Zhang, Jiayu Chen, Chang Xu, Yuyu Luo, Nan Tang, Hui Xiong
2026Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling.
Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan, Xiaohua Wang, Changze Lv, Xiaoqing Zheng, Xuanjing Huang
2026Explaining Decentralized Multi-Agent Reinforcement Learning Policies.
Kayla Boggess, Sarit Kraus, Lu Feng
2026Explaining Temporal Graph Neural Network via Quantum-Inspired Evolutionary Algorithm.
Masahiro Mitani, Yuya Sasaki
2026Explaining Tournament Solutions with Minimal Supports.
Clément Contet, Umberto Grandi, Jérôme Mengin
2026Explanation-Preserving Augmentation for Semi-Supervised Graph Representation Learning.
Zhuomin Chen, Jingchao Ni, Hojat Allah Salehi, Xu Zheng, Esteban Schafir, Farhad Shirani, Dongsheng Luo
2026Explanations for Sequential Decision-Making - an Overview.
Hendrik Baier, Mark T. Keane, Sarath Sreedharan, Silvia Tulli, Abhinav Verma
2026Explicit Intent-Enhanced Knowledge Distillation for Trip Recommendation.
Shuliang Wang, Xiaoting Leng, Sijie Ruan, Dingqi Yang, Yicheng Tang, Qianyu Yang, Qianxiong Xu, Jiabao Zhu, Hanning Yuan
2026Explicit Modeling of Causal Factors and Confounders for Image Classification.
Wei Wu, Lei Meng, Zhuang Qi, Zixuan Li, Yachong Zhang, Xiaoshuo Yan, Xiangxu Meng
2026Explicit Temporal-Semantic Modeling for Dense Video Captioning via Context-Aware Cross-Modal Interaction.
Mingda Jia, Weiliang Meng, Zenghuang Fu, Yiheng Li, Qi Zeng, Yifan Zhang, Ju Xin, Rongtao Xu, Jiguang Zhang, Xiaopeng Zhang
2026Exploiting All Mamba Fusion for Efficient RGB-D Tracking.
Ge Ying, Dawei Zhang, Chengzhuan Yang, Wei Liu, Sang-Woon Jeon, Hua Wang, Changqin Huang, Zhonglong Zheng
2026Exploiting Blurry Representations for Event-guided Video Super-Resolution.
Zeyu Xiao, Xinchao Wang
2026Exploiting Geometric Structures for Modeling Multi-Agent Behaviors: A New Thinking.
Bohao Qu, Xiaofeng Cao, Bing Li, Menglin Zhang, Tuan-Anh Vu, Di Lin, Qing Guo
2026Exploiting Graph-Based Structural Priors for Visual Recognition.
Depanshu Sani
2026Exploiting Inter-Session Information with Frequency-enhanced Dual-Path Networks for Sequential Recommendation.
Peng He, Yanglei Gan, Tingting Dai, Run Lin, Xuexin Li, Yao Liu, Qiao Liu
2026Exploiting Missing Data Remediation Strategies Using Adversarial Missingness Attacks.
Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung
2026Exploiting Pre-trained Language Model for Cross-city Urban Flow Prediction Guided by Information-theoretic Analysis.
Qiang Zhou, Xudong Tong, Yuting Liu, Chuanxing Liu, Jingjing Gu
2026Exploiting Space Folding by Neural Networks.
Michal Lewandowski, Raphael Pisoni, Bernhard Heinzl, Bernhard Alois Moser
2026Exploiting Synergistic Cognitive Biases to Bypass Safety in LLMs.
Xikang Yang, Biyu Zhou, Xuehai Tang, Jizhong Han, Songlin Hu
2026Explore How to Inject Beneficial Noise in MLLMs.
Ruishu Zhu, Sida Huang, Ziheng Jiao, Hongyuan Zhang
2026Explore and Establish Synergistic Effects Between Weight Pruning and Coreset Selection in Neural Network Training.
Weilin Wan, Fan Yi, Weizhong Zhang, Quan Zhou, Cheng Jin
2026Explore to Learn: Latent Exploration Through Disentangled Synergy Patterns for Reinforcement Learning in Overactuated Control.
Yiming Wang, Kaiyan Zhao, Xu Li, Yan Li, Jiayu Chen, Steven Morad, Leong Hou U
2026Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds.
Xianhui Meng, Yukang Huo, Li Zhang, Liu Liu, Haonan Jiang, Yan Zhong, Pingrui Zhang, Cewu Lu, Jun Liu
2026Exploring Cross-Cultural Perspectives on AI Education: Insights from Teachers in Nigeria and the USA.
Cornelius Onimisi Adejoro, Oghenemaro Anuyah, Ali Raza, Karla Badillo-Urquiola, Tom Yeh
2026Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks.
Zhiyuan He
2026Exploring Domain Generalization and Subpopulation Shift for Generalizable Graph-Level Anomaly Detection.
Xiaoxiang Li, Xihe Xie, Hai Wan, Xibin Zhao
2026Exploring Efficient Open-Vocabulary Segmentation in the Remote Sensing.
Bingyu Li, Haocheng Dong, Da Zhang, Zhiyuan Zhao, Hao Sun, Junyu Gao
2026Exploring Generalizable Remote Sensing Change Detection via Low-Rank Exchange Adaptation of Vision Foundation Model.
Mingwei Zhang, Jingtao Hu, Qiang Li, Qi Wang
2026Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection.
Shun Wei, Jielin Jiang, Xiaolong Xu
2026Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking.
Shilei Wang, Pujian Lai, Dong Gao, Jifeng Ning, Gong Cheng
2026Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange.
Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin
2026Exploring Position Encoding Mechanism in Diffusion U-Net for Training-free High-resolution Image Generation.
Feng Zhou, Pu Cao, Yiyang Ma, Lu Yang, Yonghao Dang, Jianqin Yin
2026Exploring Reliable Spatiotemporal Dependencies for Efficient Visual Tracking.
Junze Shi, Yang Yu, Jian Shi, Haibo Luo
2026Exploring Selective Avoidance for Online User Behavior Analysis: A Forest of Thought Explanation.
Xiaohua Wu, Lin Li, Kaize Shi, Xiaohui Tao, Jianwei Zhang, Yuefeng Li
2026Exploring Surround-View Fisheye Camera 3D Object Detection.
Changcai Li, Wenwei Lin, Zuoxun Hou, Gang Chen, Wei Zhang, Huihui Zhou, Weishi Zheng
2026Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration.
Huijie Guo, Jingyao Wang, Peizheng Guo, Xingchen Shen, Changwen Zheng, Wenwen Qiang
2026Exploring the Janus Face of Synthetic Images: From Privacy-secure Biometrics to Universal and Robust Deepfake Detection.
Tanusree Ghosh
2026Exploring the Potentials of Spiking Neural Networks for Image Deraining.
Shuang Chen, Tomás Krajník, Farshad Arvin, Amir Atapour-Abarghouei
2026Exposing DeepFakes via Hyperspectral Domain Mapping (Student Abstract).
Aditya Mehta, Swarnim Chaudhary, Pratik Narang, Jagat Sesh Challa
2026Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation.
Yanming Sun, Runzhe Zhan, Chi Seng Cheang, Han Wu, Xuebo Liu, Yuyao Niu, Fengying Ye, Kaixin Lan, Lidia S. Chao, Derek F. Wong
2026Expressive Power of Graph Transformers via Logic.
Veeti Ahvonen, Maurice Funk, Damian Heiman, Antti Kuusisto, Carsten Lutz
2026Expressive Recursive Answers for Ontological Knowledge Bases.
Luca Andolfi, Gianluca Cima, Marco Console, Maurizio Lenzerini
2026Expressive Temporal Specifications for Reward Monitoring.
Omar Adalat, Francesco Belardinelli
2026ExtendAttack: Attacking Servers of LRMs via Extending Reasoning.
Zhenhao Zhu, Yue Liu, Zhiwei Xu, Yingwei Ma, Hongcheng Gao, Nuo Chen, Yanpei Guo, Wenjie Qu, Huiying Xu, Zifeng Kang, Xinzhong Zhu, Jiaheng Zhang
2026Extendable Planning via Multiscale Diffusion.
Chang Chen, Hany Hamed, Doojin Baek, Taegu Kang, Samyeul Noh, Yoshua Bengio, Sungjin Ahn
2026Extending Description Logics with Generic Concepts - the Case of Terminologies.
Joshua Hirschbrunn, Yevgeny Kazakov
2026Extracting Events Like Code: A Multi-Agent Programming Framework for Zero-Shot Event Extraction.
Quanjiang Guo, Sijie Wang, Jinchuan Zhang, Ben Zhang, Zhao Kang, Ling Tian, Ke Yan
2026Extracting Interaction-Aware Monosemantic Concepts in Recommender Systems.
Dor Arviv, Yehonatan Elisha, Oren Barkan, Noam Koenigstein
2026Extracting Multimodal Learngene in CLIP: Unveiling the Multimodal Generalizable Knowledge.
Ruiming Chen, Junming Yang, Shiyu Xia, Xu Yang, Xin Geng
2026Extreme Value Monte Carlo Tree Search for Classical Planning.
Masataro Asai, Stephen Wissow
2026E³SAM2: Entropy-Aware and Edge-Guided Adaptation of SAM2 for Echocardiography Video Segmentation.
Long Zheng, Zhi Li, Weidong Wang, Zhenyu Dai, Shuyun Li
2026F.A.C.U.L.: Language-Based Interaction with AI Companions in Gaming.
Wenya Wei, Sipeng Yang, Qixian Zhou, Ruochen Liu, Xuelei Zhang, Yifu Yuan, Yan Jiang, Yongle Luo, Hailong Wang, Tianzhou Wang, Peipei Jin, Wangtong Liu, Zhou Zhao, Xiaogang Jin, Elvis S. Liu
2026F2RVLM: Boosting Fine-grained Fragment Retrieval for Multi-Modal Long-form Dialogue with Vision Language Model.
Hanbo Bi, Zhiqiang Yuan, Zexi Jia, Jiapei Zhang, Chongyang Li, Peixiang Luo, Ying Deng, Xiaoyue Duan, Jinchao Zhang
2026F2SST: Frequency-to-Spatial Semantic Transfer for Few-Shot Image Classification.
Xueyi Chen, Bangjun Wang, Jiaqing Fan, Li Zhang, Fanzhang Li
2026FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection.
Jing He, Han Zhang, Yuanhui Xiao, Wei Guo, Shaowen Yao, Renyang Liu
2026FAM: Fine-Grained Alignment Matters in Multimodal Embedding Learning with Large Vision-Language Models.
Tianhang Xiang, Yirui Li, Lizhao Liu, Hongyan Zhi, Chuanshen Chen, Qing Du, Mingkui Tan
2026FAMDR: Feature-Aligned Multimodal Denoising for Reliable Diagnostic Reconciliation in Medical Imaging.
Xun Liang, Zhiying Li, Hongxun Jiang
2026FANoise: Singular Value-Adaptive Noise Modulation for Robust Multimodal Representation Learning.
Jiaoyang Li, Jun Fang, Tianhao Gao, Xiaohui Zhang, Zhiyuan Liu, Chao Liu, Pengzhang Liu, Qixia Jiang
2026FARM: Frame-Accelerated Augmentation and Residual Mixture-of-Experts for Physics-Based High-Dynamic Humanoid Control.
Tan Jing, Shiting Chen, Yangfan Li, Weisheng Xu, Renjing Xu
2026FCMO: A Flow-Curv Mamba Operator for Large-Scale 3D Vehicle Aerodynamics.
Yuchen Xie, Yufeng Xie, Hanyu He, Yue Huang, Lijuan Sun, Hengyi Ren
2026FD-MAGRPO: Functionality-Driven Multi-Agent Group Relative Policy Optimization for Analog-LDO Sizing.
Haoning Jiang, Han Wu, Zhuoli Ouyang, Ziheng Wang, Tinghuan Chen, Junmin Jiang
2026FDC-Ground: Improving GRPO for GUI Grounding via Exponential Rewards and Fact-Aligned Pruning.
Xiangjian Zeng, Wenjing Li, Qingqiang Wu, Liang Zhang
2026FDP: A Frequency-Decomposition Preprocessing Pipeline for Unsupervised Anomaly Detection in Brain MRI.
Hao Li, Zhenfeng Zhuang, Jingyu Lin, Yu Liu, Yifei Chen, Qiong Peng, Lequan Yu, Liansheng Wang
2026FGD-Align: Pluralistic Alignment for Large Language Models via Fuzzy Group Decision-Making.
Weihang Pan, Zhengxu Yu, Yong Wu, Xun Liang, Zhongming Jin, Qiang Fu, Penghui Shang, Binbin Lin, Xiaofei He, Jieping Ye
2026FGM-HD: Boosting Generation Diversity of Fractal Generative Models through Hausdorff Dimension Induction.
Haowei Zhang, Yuanpei Zhao, Ji-Zhe Zhou, Mao Li
2026FGNet: Leveraging Feature-Guided Attention to Refine SAM2 for 3D EM Neuron Segmentation.
Zhenghua Li, Hang Chen, Zihao Sun, Kai Li, Xiaolin Hu
2026FIA-Edit: Frequency-Interactive Attention for Efficient and High-Fidelity Inversion-Free Text-Guided Image Editing.
Kaixiang Yang, Boyang Shen, Xin Li, Yuchen Dai, Yuxuan Luo, Yueran Ma, Wei Fang, Qiang Li, Zhiwei Wang
2026FILTER: A Framework for Defending Against Backdoor Attacks in Vertical Federated Learning.
Zhanyi Hu, Cen Chen, Yanhao Wang
2026FIND: A Simple Yet Effective Baseline for Diffusion-Generated Image Detection.
Jie Li, Yingying Feng, Chi Xie, Jie Hu, Lei Tan, Jiayi Ji
2026FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation.
Yadong Liu, Shangfei Wang
2026FIRM-MoE: Fine-GrainedExpert Decomposition for Resource-Adaptive MoE Inference.
Keyu Chen, Qihang Zhou, Bin Qian, Zhenyu Wen, Wenchao Meng, Shibo He
2026FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification.
Gwok-Waa Wan, SamZaak Wong, Shengchu Su, Chenxu Niu, Ning Wang, Xinlai Wan, Qixiang Chen, Mengnv Xing, Jingyi Zhang, Jianmin Ye, Yubo Wang, Rongchang Song, Tao Ni, Qiang Xu, Nan Guan, Zhe Jiang, Xi Wang, Yong Chen, Jun Yang
2026FLAG-4D: Flow-Guided Local-Global Dual-Deformation Model for 4D Reconstruction.
Guan Yuan Tan, Ngoc Tuan Vu, Arghya Pal, Sailaja Rajanala, Raphael C.-W. Phan, Mettu Srinivas, Chee-Ming Ting
2026FLRQ: Faster LLM Quantization with Flexible Low-Rank Matrix Sketching.
Hongyaoxing Gu, Lijuan Hu, Shuzi Niu, Fangfang Liu
2026FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions.
Boyang Zhang, Daning Cheng, Yunquan Zhang, Jiake Tian, Jing Li, Fangming Liu
2026FPT Approximation Algorithms for TSP on Non-Metric Graphs.
Jingyang Zhao, Zimo Sheng, Mingyu Xiao
2026FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection.
Jiangyong Yu, Changyong Shu, Sifan Zhou, Zichen Yu, Xing Hu, Dawei Yang
2026FRBAT: Conditionally-Visible Physical Backdoor Attack via Fluorescence.
Yalun Wu, Liu Liu, Endong Tong, Yingxiao Xiang, Xiaoting Lyu, Zhen Han, Jiqiang Liu
2026FRoD: Full-Rank Efficient Fine-Tuning with Rotational Degrees for Fast Convergence.
Guoan Wan, Tianyu Chen, Fangzheng Feng, Haoyi Zhou, Runhua Xu
2026FT-MoE: Sustainable-learning Mixture of Experts for Fault-Tolerant Computing.
Wenjing Xiao, Wenhao Song, Miaojiang Chen, Min Chen
2026FT-NCFM: An Influence-Aware Data Distillation Framework for Efficient VLA Models.
Kewei Chen, Yayu Long, Shuai Li, Mingsheng Shang
2026FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation.
Peng Zhang, Wanggui He, Mushui Liu, Wenyi Xiao, Siyu Zou, Yuan Li, Xingjian Wang, Guanghao Zhang, Yanpeng Liu, Weilong Dai, Jinlong Liu, Shuyi Ying, Ruikai Zhou, Yunlong Yu, Yubo Tao, Hai Lin, Hao Jiang
2026FUSION: Dataset Pruning via Fusing Uncertainty with Structural Information for Optimal Neural Training in Crystal Property Prediction.
Xiean Wang, Pin Chen, Liqin Tan, Yutong Lu, Qingsong Zou
2026FVNet: Harnessing Liquid Neural Dynamics for Lightweight Visual Representation.
Zhenzhe Hou, Xiaohui Chu, Runze Hu, Yang Li, Yutao Liu
2026FaNe: Towards Fine-Grained Cross-Modal Contrast with False-Negative Reduction and Text-Conditioned Sparse Attention.
Peng Zhang, Zhihui Lai, Wenting Chen, Xu Wu, Heng Kong
2026FaceShield: Explainable Face Anti-Spoofing with Multimodal Large Language Models.
Hongyang Wang, Yichen Shi, Zhuofu Tao, Yuhao Gao, Liepiao Zhang, Xun Lin, Jun Feng, Xiaochen Yuan, Zitong Yu, Xiaochun Cao
2026Facial Dynamics in Video: Instruction Tuning for Improved Facial Expression Perception and Contextual Awareness.
Jiaxing Zhao, Boyuan Sun, Xiang Chen, Xihan Wei
2026Facial-R1: Aligning Reasoning and Recognition for Facial Emotion Analysis.
Jiulong Wu, Yucheng Shen, Lingyong Yan, Haixin Sun, Deguo Xia, Jizhou Huang, Min Cao
2026Facilitating Early Maladaptive Schema-Guided Polite and Empathetic Psychotherapeutic Support: An LLM-Driven MoE-RL-Based Dialogue System.
Priyanshu Priya, Asif Ekbal
2026Facility Location for Congesting Commuters and Generalizing the Cost-Distance Problem.
Thanasis Lianeas, Marios Mertzanidis, Aikaterini Nikolidaki
2026Fact2Fiction: Targeted Poisoning Attack to Agentic Fact-checking System.
Haorui He, Yupeng Li, Bin Benjamin Zhu, Dacheng Wen, Reynold Cheng, Francis C. M. Lau
2026Factorization-in-Loop: Proximal Fill-in Minimization for Sparse Matrix Reordering.
Ziwei Li, Shuzi Niu, Tao Yuan, Huiyuan Li, Wenjia Wu
2026Factuality Evaluation Using Reasoning and World Modeling.
Sachin Vashistha
2026Fading the Digital Ink: A Universal Black-Box Attack Framework for 3DGS Watermarking Systems.
Qingyuan Zeng, Shu Jiang, Jiajing Lin, Zhenzhong Wang, Kay Chen Tan, Min Jiang
2026Failure Localization in Multi-Agent Code Generation via Knowledge-Guided and Transferable Reasoning.
Mingyang Geng, Shanzhi Gu, Zhipeng Liu, Chuanfu Xu, Zhaoyang Qu, Haotian Wang
2026Failures to Surface Harmful Contents in Video Large Language Models.
Yuxin Cao, Wei Song, Derui Wang, Jingling Xue, Jin Song Dong
2026Fair Algorithms with Probing for Multi-Agent Multi-Armed Bandits.
Tianyi Xu, Jiaxin Liu, Nicholas Mattei, Zizhan Zheng
2026Fair Allocation of Indivisible Goods with Variable Groups.
Paul Gölz, Ayumi Igarashi, Pasin Manurangsi, Warut Suksompong
2026Fair Bayesian Data Selection via Generalized Discrepancy Measures.
Yixuan Zhang, Jiabin Luo, Zhenggang Wang, Feng Zhou, Quyu Kong
2026Fair Diffusion Auctions.
Zixin Gu, Yaoxin Ge, Yao Zhang, Dengji Zhao
2026Fair Division Among Couples and Small Groups.
Paul Gölz, Hannane Yaghoubizade
2026Fair Domain Generalization: An Information-Theoretic View.
Tangzheng Lian, Guanyu Hu, Dimitrios Kollias, Xinyu Yang, Oya Çeliktutan
2026Fair Facial Attribute Recognition via Group-Decoupled Vision Transformer with Mask-Guided Correlation Suppression.
Huichang Huang, Kunchi Li, Si Chen, Da-Han Wang
2026Fair Graph Learning with Limited Sensitive Attribute Information.
Zichong Wang, Jie Yang, Jun Zhuang, Puqing Jiang, Mingzhe Chen, Ye Hu, Wenbin Zhang
2026Fair Incentives for Early Arrival in 0-1 Cooperative Games.
Yaoxin Ge, Yao Zhang, Dengji Zhao
2026Fair Model-based Clustering.
Jinwon Park, Kunwoong Kim, Jihu Lee, Yongdai Kim
2026Fair Societies: Algorithms for House Allocations.
Hadi Hosseini, Sanjukta Roy, Aditi Sethia
2026Fair and Efficient Balanced Allocation for Indivisible Goods.
Yasushi Kawase, Ryoga Mahara
2026FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering.
Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju
2026FairGSE: Fairness-Aware Graph Neural Network Without High False Positive Rates.
Zhenqiang Ye, Jinjie Lu, Tianlong Gu, Fengrui Hao, Xuemin Wang
2026Fairness Aware Reinforcement Learning via Proximal Policy Optimization.
Gabriele La Malfa, Jie M. Zhang, Michael Luck, Elizabeth Black
2026Fairness Perceptions of Large Language Models.
Benjamin Cookson, Soroush Ebadian, Nisarg Shah
2026Fairness and Stability for Shared Resource Allocation Problems.
Jiazhu Fang, Qizhi Fang, Minming Li, Wenjing Liu
2026Fairness in Repeated Matching: A Maximin Perspective.
Eugene Lim, Tzeh Yuan Neoh, Nicholas Teh
2026Fairness in the Multi-Secretary Problem.
Georgios Papasotiropoulos, Zein Pishbin
2026Fairness-Aware Design for Contextual Experiments: Guaranteeing Reliability and Equity in Heterogeneous Subgroups.
Guangyan Gan, Ling Zhang, Yanhua Cheng, Yongxiang Tang, Kaiyuan Li, Xialong Liu, Peng Jiang
2026Faithful in Steps: Improving Generalization and Citation in RAG via Query Decomposition.
Yue Liu, Zhongying Ru, Shimin Di, Jipeng Zhang, Ruiyuan Zhang, Xiaofang Zhou
2026False Positives Matter: Multidimensional Localization Evaluation and Training-Free Explainable Adversarial Patch Defense.
Lihua Jing, Rui Wang, Jinwen Zhong, Runbo Li, Zixuan Zhu
2026FantasyHSI: Video-Generation-Centric 4D Human Synthesis in Any Scene Through a Graph-Based Multi-Agent Framework.
Lingzhou Mu, Qiang Wang, Fan Jiang, Mengchao Wang, Mu Xu, Kai Zhang
2026FantasyStyle: Controllable Stylized Distillation for 3D Gaussian Splatting.
Yitong Yang, Yinglin Wang, Changshuo Wang, Huajie Wang, Shuting He
2026FantasyTalking2: Timestep-Layer Adaptive Preference Optimization for Audio-Driven Portrait Animation.
Mengchao Wang, Qiang Wang, Fan Jiang, Mu Xu
2026Fashion Microscope: Pixel-Level Attribute Perception via Optimal Transport and Neural Semantic Aggregation.
Shuili Zhang, Hongzhang Mu, Jiawei Sheng, Qianqian Tong, Wenyuan Zhang, Quangang Li, Tingwen Liu
2026FashionMAC: Deformation-Free Fashion Image Generation with Fine-Grained Model Appearance Customization.
Rong Zhang, Jinxiao Li, Jingnan Wang, Zhiwen Zuo, Jianfeng Dong, Wei Li, Chi Wang, Weiwei Xu, Xun Wang
2026Fast 3D Surrogate Modeling for Data Center Thermal Management.
Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah Carmichael, Avisek Naug, Refik Mert Cam, Vineet Gundecha, Ashwin Ramesh Babu, Sahand Ghorbanpour, Ricardo Luna Gutierrez
2026Fast Conformal Prediction Using Conditional Interquantile Intervals.
Naixin Guo, Rui Luo, Zhixin Zhou
2026Fast Guaranteed Robust Local-Smooth Principal Component Separation.
Mingdi Hu, Hailin Wang, Shuaijiang Li, Kexin Shi, Jiangjun Peng
2026Fast Multi-view Consistent 3D Editing with Video Priors.
Liyi Chen, Ruihuang Li, Guowen Zhang, Pengfei Wang, Lei Zhang
2026FastAnimate: Towards Learnable Template Construction and Pose Deformation for Fast 3D Human Avatar Animation.
Jian Shu, Nanjie Yao, Gangjian Zhang, Junlong Ren, Yu Feng, Hao Wang
2026FastDriveVLA: Efficient End-to-End Driving via Plug-and-Play Reconstruction-based Token Pruning.
Jiajun Cao, Qizhe Zhang, Peidong Jia, Xuhui Zhao, Bo Lan, Xiaoan Zhang, Lizhuo, Xiaobao Wei, Sixiang Chen, Liyun Li, Xianming Liu, Ming Lu, Yang Wang, Shanghang Zhang
2026FastFLUX: Pruning FLUX with Block-wise Replacement and Sandwich Training.
Fuhan Cai, Yong Guo, Jie Li, Wenbo Li, Jian Chen, Xiangzhong Fang
2026Faster Certified Symmetry Breaking Using Orders with Auxiliary Variables.
Markus Anders, Bart Bogaerts, Benjamin Bogø, Arthur Gontier, Wietze Koops, Ciaran McCreesh, Magnus O. Myreen, Jakob Nordström, Andy Oertel, Adrian Rebola-Pardo, Yong Kiam Tan
2026Faster Game Solving via Asymmetry of Step Sizes.
Linjian Meng, Tianpei Yang, Youzhi Zhang, Zhenxing Ge, Yang Gao
2026Faster Game Solving via Hyperparameter Schedules.
Naifeng Zhang, Stephen Marcus McAleer, Tuomas Sandholm
2026Faster Symmetry Breaking Constraints for Abstract Structures.
Özgür Akgün, Mun See Chang, Ian P. Gent, Christopher Jefferson
2026Fault Diagnosis of Irregular Sequences by Adjoint Learning in Continuous-Time Model Space.
Xiren Zhou, Chuyang Wei, Ao Chen, Shikang Liu, Xiangyu Wang, Huanhuan Chen
2026FeTS: A Feature-Aware Framework for Time Series Forecasting.
Le Wang, Jianyong Chen, Songbai Liu
2026Feasibility-Aware Masked Transformer for the Pickup-and-Delivery Problem with Time Windows (Student Abstract).
Kaede Saito, Ryota Higa, Hiromu Imura, Masaaki Kondo
2026Feature Attribution for Human Sensing with Radio Signals.
Shuokang Huang, Julie A. McCann
2026Feature Compression May Be the Root Cause of Adversarial Fragility in Neural Network Classifiers (Student Abstract).
Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Myung Cho, Catherine Xu, Hui Xie, Weiyu Xu
2026Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint).
Lei Wang, Piotr Koniusz
2026Feature Integration Spaces: Joint Training Reveals Dual Encoding in Neural Network Representations.
Omar Claflin
2026Feature-Aware One-Shot Federated Learning via Hierarchical Token Sequences.
Shudong Liu, Hanwen Zhang, Xiuling Wang, Yuesheng Zhu, Guibo Luo
2026Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption.
Sunwoo Kim, Soo Yong Lee, Kyungho Kim, Hyunjin Hwang, Jaemin Yoo, Kijung Shin
2026FedALT: Federated Fine-Tuning Through Adaptive Local Training with Rest-of-World LoRA.
Jieming Bian, Lei Wang, Letian Zhang, Jie Xu
2026FedARKS: Federated Aggregation via Robust and Discriminative Knowledge Selection and Integration for Person Re-identification.
Xin Xu, Binchang Ma, Zhixi Yu, Wei Liu
2026FedAU2: Attribute Unlearning for User-Level Federated Recommender Systems with Adaptive and Robust Adversarial Training.
Yuyuan Li, Junjie Fang, Fengyuan Yu, Xichun Sheng, Tianyu Du, Xuyang Teng, Shaowei Jiang, Linbo Jiang, Jianan Lin, Chaochao Chen
2026FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models.
Junkang Liu, Fanhua Shang, Hongying Liu, Yuxuan Tian, Yuanyuan Liu, Jin Liu, Kewen Zhu, Zhouchen Lin
2026FedBRICK: Structural Bias Aware Heterogeneous Foundation Model Federated Tuning.
Yuhang Zhang, Xianda Wang, Wei Sun, Jiaxuan Chen, Fangxin Wang
2026FedCD: Towards Consolidated Distillation for Heterogeneous Federated Learning.
Yichen Li, Hang Su, Huifa Li, Haolin Yang, Xinlin Zhuang, Haochen Xue, Haozhao Wang, Imran Razzak
2026FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data.
Yue Chen, Jianfeng Lu, Shuqin Cao, Wei Wang, Gang Li, Guanghui Wen
2026FedDNA: DNA Sequence Reconstruction via Deep Evidential Learning and Personalized Federated Aggregation.
Haiyan Lin, Qi Shen, Fei Zhu, Zixuan Qin, Liu Yang, Yuping Duan
2026FedGRPO: Privately Optimizing Foundation Models with Group-Relative Rewards from Domain Clients.
Gongxi Zhu, Hanlin Gu, Lixin Fan, Qiang Yang, Yuxing Han
2026FedLAGC: Towards High Performance System-Heterogeneous Federated Learning via Layer-Adaptive Submodel Extraction and Gradient Correction.
Qing Hu, Tianchi Liao, Shuyi Wu, Lei Yang, Chuan Chen
2026FedMerge: Federated Model Merging for Personalization.
Shutong Chen, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang
2026FedPKDA: Personalized Federated Learning with Privacy-Preserving Knowledge Dynamic Alignment.
Moxuan Zeng, Wenxuan Tu, Yuanyi Chen, Yiying Wang, Miao Yu, Xiangyan Tang, Jieren Cheng
2026FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters.
Hiro Ishii, Kenta Niwa, Hiroshi Sawada, Akinori Fujino, Noboru Harada, Rio Yokota
2026FedP²EFT: Federated Learning to Personalize PEFT for Multilingual LLMs.
Royson Lee, Minyoung Kim, Fady Rezk, Rui Li, Stylianos I. Venieris, Timothy M. Hospedales
2026FedRNC: Addressing Spatio-Temporal Label Misalignment in Federated Noisy Class-Incremental Learning.
Xingwei Huang, Zhaobin Sun, Junjie Shi, Xin Yang, Zengqiang Yan
2026FedSDA: Federated Stain Distribution Alignment for Non-IID Histopathological Image Classification.
Cheng-Chang Tsai, Kai-Wen Cheng, Chun-Shien Lu
2026FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD.
Zhenyuan Huang, Hui Zhang, Wenzhong Tang, Haijun Yang
2026FedSEA-LLaMA: A Secure, Efficient and Adaptive Federated Splitting Framework for Large Language Models.
Zishuai Zhang, Hainan Zhang, Weihua Li, Qinnan Zhang, Jin Dong, Yongxin Tong, Zhiming Zheng
2026FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness.
Siyuan Wen, Meng Zhang, Yang Yang, Ningning Ding
2026FedSkeleton: Secure Multi-Party Graph Skeleton Construction for Privacy-Preserving Federated Time-Series Forecasting.
Henggang Deng, Yuchao Tang, Wenjie Fu, Huandong Wang, Kun Chen, Tao Jiang
2026FedTopo: Topology-Informed Representation Alignment in Federated Learning Under Non-I.I.D. Conditions.
Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu
2026Federated CLIP for Resource-Efficient Heterogeneous Medical Image Classification.
Yihang Wu, Ahmad Chaddad
2026Federated Context-Aware Personalized Recommendation.
Zhihao Wang, Xiaoying Liao, Wenke Huang, Bingqian Liu, Tian Chen, Jian Wang, Bing Li
2026Federated Cross-Modal Style-Aware Prompt Generation (Student Abstract).
Suraj Prasad, Navyansh Mahla, Sunny Gupta, Amit Sethi
2026Federated Graph-level Clustering Network with Attribute Inference.
Renda Han, Junlong Wu, Wenxuan Tu, Jingxin Liu, Haotian Wang, Jieren Cheng
2026Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint.
Wei Feng, Danting Liu, Qianqian Wang, Mengping Jiang, Bin Liu
2026Federated Learning Playground.
Bryan Shan Guanrong, Alysa Ziying Tan, Han Yu
2026Federated Linear Dueling Bandits.
Xuhan Huang, Yan Hu, Zhiyan Li, Zhiyong Wang, Zhongxiang Dai
2026Federated Vision-Language-Recommendation with Personalized Fusion.
Zhiwei Li, Guodong Long, Jing Jiang, Chengqi Zhang, Qiang Yang
2026Few-Shot Precise Event Spotting via Unified Multi-Entity Graph and Distillation.
Zhaoyu Liu, Kan Jiang, Murong Ma, Zhe Hou, Yun Lin, Jin Song Dong
2026Few-step Flow for 3D Generation via Marginal-Data Transport Distillation.
Zanwei Zhou, Taoran Yi, Jiemin Fang, Chen Yang, Lingxi Xie, Xinggang Wang, Wei Shen, Qi Tian
2026Fidelity-Aware Recommendation Explanations via Stochastic Path Integration.
Oren Barkan, Yahlly Schein, Yehonatan Elisha, Veronika Bogina, Mikhail Baklanov, Noam Koenigstein
2026FilmSceneDesigner: Chaining Set Design for Procedural Film Scene Generation.
Zhifeng Xie, Keyi Zhang, Yiye Yan, Yuling Guo, Fan Yang, Jiting Zhou, Mengtian Li
2026FilmWeaver: Weaving Consistent Multi-Shot Videos with Cache-Guided Autoregressive Diffusion.
Xiangyang Luo, Qingyu Li, Xiaokun Liu, Wenyu Qin, Miao Yang, Meng Wang, Pengfei Wan, Di Zhang, Kun Gai, Shao-Lun Huang
2026Filter, Correlate, Compress: Training-Free Token Reduction for MLLM Acceleration.
Yuhang Han, Xuyang Liu, Zihan Zhang, Pengxiang Ding, Junjie Chen, Honggang Chen, Donglin Wang, Qingsen Yan, Siteng Huang
2026FinMMDocR: Benchmarking Financial Multimodal Reasoning with Scenario Awareness, Document Understanding, and Multi-Step Computation.
Zichen Tang, Haihong E, Rongjin Li, Jiacheng Liu, Linwei Jia, Zhuodi Hao, Zhongjun Yang, Yuanze Li, Haolin Tian, Xinyi Hu, Peizhi Zhao, Yuan Liu, Zhengyu Wang, Xianghe Wang, Yiling Huang, Xueyuan Lin, Ruofei Bai, Zijian Xie, Qian Huang, Ruining Cao, Haocheng Gao
2026FinMathBench: A Formula-Driven Benchmark for Evaluating LLMs' Math Reasoning Capabilities in Finance.
Yi He, Ping Wang, Shiqiang Xiong, Chao Chen, Haixiang Hu
2026FinRpt: Dataset, Evaluation System and LLM-based Multi-agent Framework for Equity Research Report Generation.
Song Jin, Shuqi Li, Shukun Zhang, Rui Yan
2026FindTheFlaws: Annotated Errors for Detecting Flawed Reasoning and Scalable Oversight Research.
Gabriel Recchia, Chatrik Singh Mangat, Issac Li, Gayatri Krishnakumar
2026Finding Diverse Solutions Parameterized by Cliquewidth.
Karolina Drabik, Tomás Masarík
2026Finding One Local Optimum Is Easy - but What About Two?
Yasuaki Kobayashi, Kazuhiro Kurita, Yutaro Yamaguchi
2026Finding Time Series Anomalies Using Granular-Ball Vector Data Description.
Lifeng Shen, Liang Peng, Ruiwen Liu, Shuyin Xia, Yi Liu
2026Finding the Translation Switch: Discovering and Exploiting the Task-Initiation Features in LLMs.
Xinwei Wu, Heng Liu, Xiaohu Zhao, Yuqi Ren, Linlong Xu, Longyue Wang, Deyi Xiong, Weihua Luo, Kaifu Zhang
2026Fine-Grained DINO Tuning with Dual Supervision for Face Forgery Detection.
Tianxiang Zhang, Peipeng Yu, Zhihua Xia, Longchen Dai, Xiaoyu Zhou, Hui Gao
2026Fine-Grained Generalization via Structuralizing Concept and Feature Space into Commonality, Specificity and Confounding.
Zhen Wang, Jiaojiao Zhao, Qilong Wang, Yongfeng Dong, Wenlong Yu
2026Fine-Grained Image Retrieval via Dual-Vision Adaptation.
Xin Jiang, Meiqi Cao, Hao Tang, Fei Shen, Zechao Li
2026Fine-Grained Interpretation of Political Opinions in Large Language Models.
Jingyu Hu, Mengyue Yang, Mengnan Du, Weiru Liu
2026Fine-Grained Representation for Lane Topology Reasoning.
Guoqing Xu, Yiheng Li, Yang Yang
2026Fine-Tuned LLMs Know They Don't Know: A Parameter-Efficient Approach to Recovering Honesty.
Zeyu Shi, Ziming Wang, Tianyu Chen, Shiqi Gao, Haoyi Zhou, Qingyun Sun, Jianxin Li
2026Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering (Student Abstract).
Fengxiang Cheng, Chuan Zhou, Fenrong Liu, Robert van Rooij
2026Fine-flow Distilling Coarse-flow Video Generation for Long-Term Driving World Model.
Xiaodong Wang, Zhirong Wu, Peixi Peng
2026Fine-grained Image Quality Assessment for Perceptual Image Restoration.
Xiangfei Sheng, Xiaofeng Pan, Zhichao Yang, Pengfei Chen, Leida Li
2026Fine-grained Uncertainty Decomposition in Large Language Models: A Spectral Approach.
Nassim Walha, Sebastian G. Gruber, Thomas Decker, Yinchong Yang, Alireza Javanmardi, Eyke Hüllermeier, Florian Buettner
2026Fine-tuning Zero-shot Large Language Models for Patient-reported Outcomes (Student Abstract).
Yang Yan, Matthew W. Chen, Jiayi Lyu, Chen Zhao, Hao Gao, Zhong Chen
2026FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations.
Yixing Peng, Licheng Zhang, Shancheng Fang, Yi Liu, Peijian Gu, Quan Wang
2026FineTec: Fine-Grained Action Recognition Under Temporal Corruption via Skeleton Decomposition and Sequence Completion.
Dian Shao, Mingfei Shi, Like Liu
2026FineVAU: A Novel Human-Aligned Benchmark for Fine-Grained Video Anomaly Understanding.
João Alexandre Cardeira Pereira, Vasco Lopes, João Neves, David Semedo
2026FineXtrol: Controllable Motion Generation via Fine-Grained Text.
Keming Shen, Bizhu Wu, Junliang Chen, Xiaoqin Wang, Linlin Shen
2026Firing Bits Where It Matters: Spiking-Guided Just Recognizable Distortion Modeling for Machine-Centric Video Coding.
Wuyuan Xie, ZhenMing Li, Yuwu Lu, Di Lin, Yun Song, Miaohui Wang
2026First Learn, Then Review: Human-Like Continual Learning for Cross-View Geo-Localization with Limited Field of View.
Lei Cheng, Daikun Liu, Zhikun Chen, Teng Wang
2026First-Order Error Matters: Accurate Compensation for Quantized Large Language Models.
Xingyu Zheng, Haotong Qin, Yuye Li, Haoran Chu, Jiakai Wang, Jinyang Guo, Michele Magno, Xianglong Liu
2026First-Order Representation Languages for Goal-Conditioned RL.
Simon Ståhlberg, Hector Geffner
2026FlashKAT: Understanding and Addressing Performance Bottlenecks in the Kolmogorov-Arnold Transformer.
Matthew Raffel, Lizhong Chen
2026FlashSVD: Memory-Efficient Inference with Streaming for Low-Rank Models.
Zishan Shao, Yixiao Wang, Qinsi Wang, Ting Jiang, Zhixu Du, Hancheng Ye, Danyang Zhuo, Yiran Chen, Hai (Helen) Li
2026FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation.
Shilong Zhang, Wenbo Li, Shoufa Chen, Chongjian Ge, Peize Sun, Yifu Zhang, Yi Jiang, Zehuan Yuan, Bingyue Peng, Ping Luo
2026Flexible Concept Bottleneck Model.
Xingbo Du, Qiantong Dou, Lei Fan, Rui Zhang
2026Flexible, Lifelong, Explainable, and Robust Solutions for Multi-Agent Path Finding Problems.
Aysu Bogatarkan
2026FloorPlanFormer: Multi-Task Transformer Network for Floor Plan Recognition with Outer-to-Inner Feature Refinement.
Yun Liang, Zihao Wu, Run Zheng, Shuai Xie, Bo Hong, Yishen Lin
2026FlorE: Integrating Full Lorentz Group and Directional Offsets for Effective Knowledge Graph Embedding.
Zehua Duo, Jiang Li, Xiangdong Su, Guanglai Gao
2026Flora: Effortless Context Construction to Arbitrary Length and Scale.
Tianxiang Chen, Zhentao Tan, Xiaofan Bo, Yue Wu, Tao Gong, Qi Chu, Jieping Ye
2026Flow-Based Knowledge Transfer for Efficient Large Model Distillation.
Xinye Yang, Junhao Wang, Rui Li, Haosen Sun, Xuesheng Zhang, Zebang Liu, Gaochao Xu, Yiwei Chen
2026Flow-Induced Diagonal Gaussian Processes.
Moule Lin, Andrea Patane, Weipeng Jing, Shuhao Guan, Goetz Botterweck
2026FlowAnyTime: Efficient Fine-tuning with Intra-Inter Frame Distillation for All-Weather Optical Flow Estimation.
Zixu Wang, Hongye Chen, Xiaochun Zou, Congxuan Zhang, Zhen Chen, Xinbo Zhao
2026FlowPath: Learning Data-Driven Manifolds with Invertible Flows for Robust Irregularly-sampled Time Series Classification.
YongKyung Oh, Dong-Young Lim, Sungil Kim
2026Flowing Backwards: Improving Normalizing Flows via Reverse Representation Alignment.
Yang Chen, Xiaowei Xu, Shuai Wang, Chenhui Zhu, Ruxue Wen, Xubin Li, Tiezheng Ge, Limin Wang
2026FoAM: Foresight-Augmented Multi-Task Imitation Policy for Robotic Manipulation.
Litao Liu, Wentao Wang, Yifan Han, Zhuoli Xie, Pengfei Yi, Junyan Li, Wenzhao Lian
2026FocusDPO: Dynamic Preference Optimization for Multi-Subject Personalized Image Generation via Adaptive Focus.
Qiaoqiao Jin, Siming Fu, Dong She, Weinan Jia, Hualiang Wang, Mu Liu, Jidong Jiang
2026Focusing on Language: Revealing and Exploiting Language Attention Heads in Multilingual Large Language Models.
Xin Liu, Qiyang Song, Qihang Zhou, Haichao Du, Shaowen Xu, Wenbo Jiang, Weijuan Zhang, Xiaoqi Jia
2026Force-Aware 3D Contact Modeling for Stable Grasp Generation.
Zhuo Chen, Zhongqun Zhang, Yihua Cheng, Ales Leonardis, Hyung Jin Chang
2026ForeDiffusion: Foresight-Conditioned Diffusion Policy via Future View Construction for Robot Manipulation.
Weize Xie, Yi Ding, Ying He, Leilei Wang, Binwen Bai, Zheyi Zhao, Chenyang Wang, F. Richard Yu
2026ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model.
Krishu K. Thapa, Supriya Savalkar, Bhupinderjeet Singh, Trong Nghia Hoang, Kirti Rajagopalan, Ananth Kalyanaraman
2026Forecast Then Calibrate: Feature Caching as ODE for Efficient Diffusion Transformers.
Shikang Zheng, Liang Feng, Xinyu Wang, Qinming Zhou, Peiliang Cai, Chang Zou, Jiacheng Liu, Yuqi Lin, Junjie Chen, Yue Ma, Linfeng Zhang
2026Forecasting Clinical Risk from Textual Time Series: Structuring Narratives for Temporal AI in Healthcare.
Shahriar Noroozizadeh, Sayantan Kumar, Jeremy C. Weiss
2026Forest vs Tree: The (N, K) Trade-off in Reproducible ML Evaluation.
Deepak Pandita, Flip Korn, Chris Welty, Christopher M. Homan
2026Forget Less by Learning from Parents Through Hierarchical Relationships.
Arjun Ramesh Kaushik, Naresh Kumar Devulapally, Vishnu Suresh Lokhande, Nalini K. Ratha, Venu Govindaraju
2026Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models.
Miaozeng Du, Jiaqi Li, Sirui Pan, Yi Zhan, Guilin Qi, Yuxin Zhang, Rihui Jin, Yinjia Shu, Qianshan Wei
2026Forgetting Knowledge Localization and Isolation for Continual Forgetting of Pre-trained Vision Models.
Zhiwen Yang, Jiehua Zhang, Chenggang Yan, Yuhan Gao, Zongpeng Li, Xichun Sheng, Liang Li
2026Forgetting by Pruning: Data Deletion in Join Cardinality Estimation.
Chaowei He, Yuanjun Liu, Qingzhi Ma, Shenyuan Ren, Xizhao Luo, Lei Zhao, An Liu
2026Formal Abductive Latent Explanations for Prototype-Based Networks.
Jules Soria, Zakaria Chihani, Julien Girard-Satabin, Alban Grastien, Romain Xu-Darme, Daniela Cancila
2026Formal Verification of Diffusion Auctions.
Rustam Galimullin, Munyque Mittelmann, Laurent Perrussel
2026Formal Verification of Neural ODE for Safety Evaluation in Autonomous Vehicles.
Abdelrahman Sayed Sayed
2026Format Matters: The Robustness of Multimodal LLMs in Reviewing Evidence from Tables and Charts.
Xanh Ho, Yun-Ang Wu, Sunisth Kumar, Florian Boudin, Atsuhiro Takasu, Akiko Aizawa
2026Format as a Prior: Quantifying and Analyzing Bias in LLMs for Heterogeneous Data.
Jiacheng Liu, Mayi Xu, Qiankun Pi, Wenli Li, Ming Zhong, Yuanyuan Zhu, Mengchi Liu, Tieyun Qian
2026Fortieth AAAI Conference on Artificial Intelligence, Thirty-Eighth Conference on Innovative Applications of Artificial Intelligence, Sixteenth Symposium on Educational Advances in Artificial Intelligence, AAAI 2026, Singapore, January 20-27, 2026
Sven Koenig, Chad Jenkins, Matthew E. Taylor
2026Foundation-Adaptive Integrated Refinement for Generalized Category Discovery.
Yuwei Bian, Shidong Wang, Yazhou Yao, Haofeng Zhang
2026FoundationSLAM: Unleashing the Power of Depth Foundation Models for End-to-End Dense Visual SLAM.
Yuchen Wu, Jiahe Li, Fabio Tosi, Matteo Poggi, Jin Zheng, Xiao Bai
2026Foundations of Formal Reasoning over Knowledge Bases Combining Symbolic and Sub-Symbolic Knowledge.
Gianluca Cima, Marco Console, Laura Papi
2026FourierPET: Deep Fourier-based Unrolled Network for Low-count PET Reconstruction.
Zheng Zhang, Hao Tang, Yingying Hu, Zhanli Hu, Jing Qin
2026FracSegmentator: Fracture Instance Segmentation with Trauma-Prior-Guided Contrastive Learning.
Yanzhen Liu, Sutuke Yibulayimu, Yang Zhou, Yudi Sang, Yu Wang
2026Fractured Glass, Failing Cameras: Simulating Physics-Based Adversarial Samples for Autonomous Driving Systems.
Manav Prabhakar, Jwalandhar Girnar, Arpan Kusari
2026Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation.
Zhen Chen, Yi Zhang, Xiangyu Yin, Chengxuan Qin, Xingyu Zhao, Xiaowei Huang, Wenjie Ruan
2026Framework GNN-AID: Graph Neural Network Analysis, Interpretation and Defense.
Kirill Lukianov, Mikhail Drobyshevskiy, Georgii V. Sazonov, Mikhail Soloviov, Ilya Makarov
2026FreDN: Spectral Disentanglement for Time Series Forecasting via Learnable Frequency Decomposition.
Zhongde An, Jinhong You, Jiyanglin Li, Yiming Tang, Wen Li, Heming Du, Shouguo Du
2026FreLay: Frequency-aware Energy Function for Training-free Layout-to-Image Generation.
Bonan Li, Yinhan Hu, Songhua Liu, Zeyu Xiao, Xinchao Wang
2026Free-Form Scene Editor: Enabling Multi-Round Object Manipulation Like in a 3D Engine.
Xincheng Shuai, Zhenyuan Qin, Henghui Ding, Dacheng Tao
2026FreeAskWorld: An Interactive and Closed-Loop Simulator for Human-Centric Embodied AI.
Yuhang Peng, Yizhou Pan, Xinning He, Jihaoyu Yang, Xinyu Yin, Han Wang, Xiaoji Zheng, Chao Gao, Jiangtao Gong
2026FreeGaussian: Annotation-free Control of Articulated Objects via 3D Gaussian Splats with Flow Derivatives.
Qizhi Chen, Delin Qu, Junli Liu, Yiwen Tang, Haoming Song, Dong Wang, Yuan Yuan, Bin Zhao
2026FreeInpaint: Tuning-free Prompt Alignment and Visual Rationality Enhancement in Image Inpainting.
Chao Gong, Dong Li, Yingwei Pan, Jingjing Chen, Ting Yao, Tao Mei
2026FreeMem: Enhancing Consistency in Long Video Generation via Tuning-Free Memory.
Jibin Peng, Di Lin, Zhecheng Xu, Haoran Lu, Ruonan Liu, Wuyuan Xie, Miaohui Wang, Lingyu Liang, Yi Wang, Qing Guo
2026FreqCycle: A Multi-Scale Time-Frequency Analysis Method for Time Series Forecasting.
Boya Zhang, Shuaijie Yin, Huiwen Zhu, Xing He
2026FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs.
Chao Li, Runshuo Liu, Zhongying Zhao, Hui Zhou, Qingtian Zeng
2026Frequency Mining Empowered by Text Aggregation: A New Perspective on Document Image Tampering Detection.
Ziqi Yi, Guitao Xu, Shihang Wu, Peirong Zhang, Lianwen Jin
2026Frequency-Aligned Cross-Modal Learning with Top-K Wavelet Fusion and Dynamic Expert Routing for Enhanced Retinal Disease Diagnosis.
Yuxin Lin, Haoran Li, Haoyu Cao, Yongting Hu, Qihao Xu, Chengliang Liu, Xiaoling Luo, Zhihao Wu, Yong Xu, Wei Wang
2026Frequency-Aware Vision-Language Multimodality Generalization Network for Remote Sensing Image Classification.
Junjie Zhang, Feng Zhao, Hanqiang Liu, Jun Yu
2026Frequency-Dependent Scheduled Schrödinger Bridge for Underwater Acoustic Signal Denoising.
Pengsen Zhu, Lina Gao, Yulong Huang, Lifeng Liu, Zeru Yang, Yonggang Zhang
2026From Attribution to Action: Jointly ALIGNing Predictions and Explanations.
Dongsheng Hong, Chao Chen, Yanhui Chen, Shanshan Lin, Zhihao Chen, Xiangwen Liao
2026From Benchmarks to Business Impact: Deploying IBM Generalist Agent in Enterprise Production.
Segev Shlomov, Alon Oved, Sami Marreed, Ido Levy, Offer Akrabi, Avi Yaeli, Lukasz Strak, Elizabeth Koumpan, Yinon Goldshtein, Eilam Shapira, Nir Mashkif, Asaf Adi
2026From Blind Transfer to Wise Selection: Prototype-Driven Neighbor-Domain Adaptation for Fake News Detection.
Wayne Lu, Yiheng Li
2026From Chaos to Clarity: A Knowledge Graph-Driven Audit Dataset Generation Framework for LLM Unlearning.
Weipeng Jiang, Juan Zhai, Shiqing Ma, Ziyan Lei, Xiaofei Xie, Yige Wang, Chao Shen
2026From Chaos to Cure: A Prefix Heuristics Guided Model-Agnostic Adaptive Detoxification Framework.
Yuhu Shang, Xiang Cheng, Yimeng Ren, Huijia Wu, Xuexiong Luo, Kangkang Lu, Jian Zhao, Zhaofeng He
2026From Dataset to Real-world: General 3D Object Detection via Generalized Cross-domain Few-shot Learning.
Shuangzhi Li, Junlong Shen, Lei Ma, Xingyu Li
2026From Decision Trees to Boolean Logic: A Fast and Unified SHAP Algorithm.
Alexander Nadel, Ron Wettenstein
2026From Decisions to Multiplicity: Frameworks, Theories, and Applications.
Prakhar Ganesh
2026From Detection to Diagnosis: Advancing Hallucination Analysis with Automated Data Synthesis.
Yanyi Liu, Qingwen Yang, Tiezheng Guo, Feiyu Qu, Jun Liu, Yingyou Wen
2026From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs.
Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang
2026From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation.
Yeming Li, Chenxi Liu, Jie Zou, Cheng Long, Chaoning Zhang, Peng Wang, Yang Yang
2026From Discriminative to Generative: A Diffusion-Based Paradigm for Multi-Agent Collaborative Perception.
Kexin Gong, Puyi Yao, Guiyang Luo, Quan Yuan, Tiange Fu, Hui Zhang, Jinglin Li
2026From Embeddings to Chatbots: Playful NLP Activities for Middle School AI Literacy.
Jessica Vandenberg, Alex Goslen, Claire Aguiar, Wookhee Min, Veronica Cateté, Bradford W. Mott
2026From Few-Shot Learning to Data-Efficient Intelligence.
Yaqing Wang
2026From Hypothesis to Premises: LLM-based Backward Logical Reasoning with Selective Symbolic Translation.
Qingchuan Li, Mingyue Cheng, Zirui Liu, Daoyu Wang, Yuting Zeng, Tongxuan Liu
2026From IDs to Semantics: A Generative Framework for Cross-Domain Recommendation with Adaptive Semantic Tokenization.
Peiyu Hu, Wayne Lu, Jia Wang
2026From Imitation to Discrimination: Toward a Generalized Curriculum Advantage Mechanism Enhancing Cross-Domain Reasoning Tasks.
Changpeng Yang, Jinyang Wu, Yuchen Liu, Shuai Zhang, Yang Li, Qiliang Liang, Hongzhen Wang, Shuai Nie, Jiaming Xu, Runyu Shi, Ying Huang, Guoquan Zhang
2026From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation.
Ke Niu, Haiyang Yu, Zhuofan Chen, Mengyang Zhao, Teng Fu, Bin Li, Xiangyang Xue
2026From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning.
Haoyu Li, Xuhong Li, Yiming Dong, Kun Liu
2026From Mathematical Reasoning to Code: Generalization of Process Reward Models in Test-Time Scaling.
Zhengyu Chen, Yudong Wang, Teng Xiao, Ruochen Zhou, Xuesheng Yang, Wei Wang, Zhifang Sui, Jingang Wang
2026From Natural Language to Executable ETL Flows: The IBM DataStage Assistant.
Nitin Gupta, Thomas Gschwind, Shramona Chakraborty, Sameep Mehta, Tristan Tyler, Shreya Sisodia, Ben Clermont
2026From Parameter to Representation: A Closed-Form Approach for Controllable Model Merging.
Jialin Wu, Jian Yang, Handing Wang, Jiajun Wen, Zhiyong Yu
2026From Passive Perception to Active Memory: A Weakly Supervised Image Manipulation Localization Framework Driven by Coarse-Grained Annotations.
Zhiqing Guo, Dongdong Xi, Songlin Li, Gaobo Yang
2026From Pixels to Logic: A Perception-Reasoning Decomposition Framework for Open-World Referring Expression Comprehension.
Lihong Huang, Sheng-hua Zhong, Zhi Zhang, Yan Liu
2026From Points to Coalitions: Hierarchical Contrastive Shapley Values for Prioritizing Data Samples.
Canran Xiao, Jiabao Dou, Zhiming Lin, Zong Ke, Liwei Hou
2026From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge.
Hui Lu, Yi Yu, Song Xia, Yiming Yang, Deepu Rajan, Boon Poh Ng, Alex C. Kot, Xudong Jiang
2026From Representation to Reasoning: Toward General-Purpose Visual Intelligence.
Chen Wei
2026From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration.
Hao Li, Tao He, Jiafeng Liang, Zheng Chu, Ming Liu
2026From Scene to Object: Enhancing Open-Vocabulary Object Detection via Foreground-Background Context Reasoning.
Yanqi Li, Jianwei Niu, Ningbo Gu, Tao Ren
2026From Semantics to Spectrum: A New Lens on Graph Augmentation Strategy.
Xiangping Zheng, Xiuxin Hao, Bo Wu, Wei Li, Bin Ren, Bin Tang, Yuhui Guo, Xun Liang, Zhiwen Yu
2026From Sequential to Recursive: Enhancing Decision-Focused Learning with Bidirectional Feedback.
Xinyu Wang, Jinxiao Du, Yiyang Peng, Wei Ma
2026From Single to Societal: Analyzing Persona-Induced Bias in Multi-Agent Interactions.
Jiayi Li, Xiao Liu, Yansong Feng
2026From Solver to Tutor: Evaluating the Pedagogical Intelligence of LLMs with KMP-Bench.
Weikang Shi, Houxing Ren, Junting Pan, Aojun Zhou, Ke Wang, Zimu Lu, Yunqiao Yang, Yuxuan Hu, Linda Wei, Mingjie Zhan, Hongsheng Li
2026From Static to Active: Knowledge-Aware Node State Selection in Multi-view Graph Learning.
Weiran Liao, Jielong Lu, Yuhong Chen, Shide Du, Hongrong Chen, Shiping Wang
2026From Stimuli to Minds: Enhancing Psychological Reasoning in LLMs via Bilateral Reinforcement Learning.
Yichao Feng, Haoran Luo, Lang Feng, Shuai Zhao, Anh Tuan Luu
2026From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection.
Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu
2026From Text to Simulation: A Multi-Agent LLM Workflow for Automated Chemical Process Design.
Xufei Tian, Wenli Du, Shaoyi Yang, Han Hu, Hui Xin, Shifeng Qu, Ke Ye
2026From Tokens to Latent States: Leveraging Pre-trained Language Models for Improving Partially Observable Reinforcement Learning.
Meiju Li, Ruixiang Sun, Xin Li, Mingzhong Wang
2026From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication.
Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe, Chao Lin, Jake Juettner, Furui Xiao, Jeremy Blackburn, Shiqi Zhang
2026Full-Atom Peptide Design via Riemannian-Euclidean Bayesian Flow Networks.
Hao Qian, Shikui Tu, Lei Xu
2026Function-on-Function Bayesian Optimization.
Jingru Huang, Haijie Xu, Manrui Jiang, Chen Zhang
2026FuseMine: Robust Multi-Modal Compound-Protein Interaction Prediction via Differential Attention Feature Mining.
Junlin Xu, Zhuang Zhang, Zhenghang Gong, Jincan Li, Pan Zeng, Zilong Zhang, Xiong Li, Shuting Jin, Haowen Chen, Yajie Meng
2026FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs.
Xuanteng Huang, Fan Li, Riyang Hu, Jianchang Zhang, Yuan Peng, Yang Zhou, Fangying Chen, Xianwei Zhang
2026Fusing Deep Learning and Fuzzy Logic: A Framework for Adaptive and Scalable Interpretability.
Yumin Zhou
2026Fusing Time-Domain and Constellation Views: A Multimodal MAE for Wireless Signals (Student Abstract).
Agniva Banerjee, Arijit Sen
2026G-IR: Geometric Image Representation for Learning.
Xin Chen, Qi Zhao, Wei Zeng, Zongben Xu
2026G-UBS: Towards Robust Understanding of Implicit Feedback via Group-Aware User Behavior Simulation.
Boyu Chen, Siran Chen, Zhengrong Yue, Kainan Yan, Chenyun Yu, Beibei Kong, Lei Cheng, Chengxiang Zhuo, Zang Li, Yali Wang
2026GAGS: Granularity-Aware Feature Distillation for Language Gaussian Splatting.
Yuning Peng, Haiping Wang, Yuan Liu, Chenglu Wen, Zhen Dong, Bisheng Yang
2026GAHMN: A Generative Approach for High-Dimensional Mediation Analysis.
Jiaming Zhang, Yiqi Lin, Rou Zhang, Xinyuan Song, Hanwen Ning
2026GAICo: A Deployed and Extensible Framework for Evaluating Diverse and Multimodal Generative AI Outputs.
Nitin Gupta, Pallav Koppisetti, Kausik Lakkaraju, Biplav Srivastava
2026GAICo: Demonstrating a Unified Framework for Multi-Modal GenAI Evaluation.
Pallav Koppisetti, Nitin Gupta, Kausik Lakkaraju, Biplav Srivastava
2026GARNET: GoT-Based Alert Reduction and Narrative Event Tracing.
Yiru Gong, Song Liu, Changzhi Zhao, Junrong Liu, Tian Tian, Xiaobo Yang, Bo Jiang, Zhigang Lu
2026GATCL: An Adaptive Contrastive Learning Framework Based on MHGAT for Spatial Domain Identification in Spatial Transcriptomics.
Shilin Zhang, Weiliang Huo, Qingchen Zhang, Xiulong Liu
2026GCA: Geometry-aware Conditional Alignment for Partial Domain Adaptation with Coding Rate Reduction.
Xiaohui Chen, Chuan-Xian Ren
2026GCIB: Causal Intervention Guided Graph Information Bottleneck Framework.
Hangyuan Du, Rong Wang, Lixin Cui, Gaoxia Jiang, Liang Bai, Wenjian Wang
2026GCL-OT: Graph Contrastive Learning with Optimal Transport for Heterophilic Text-Attributed Graphs.
Yating Ren, Yikun Ban, Huobin Tan
2026GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization.
Yanchen Deng, Xinrun Wang, Bo An
2026GEM: A Scale-Aware and Distribution-Sensitive Sparse Fine-Tuning Framework for Effective Downstream Adaptation.
Sungmin Kang, Jisoo Kim, Salman Avestimehr, Sunwoo Lee
2026GEM: Gaussian Embedding Modeling for Out-of-Distribution Detection in GUI Agents.
Zheng Wu, Pengzhou Cheng, Zongru Wu, Lingzhong Dong, Zhuosheng Zhang
2026GEM: Generative Entropy-Guided Preference Modeling for Few-Shot Alignment of LLMs.
Yiyang Zhao, Huiyu Bai, Xuejiao Zhao
2026GEMA-Score: Granular Explainable Multi-Agent Scoring Framework for Radiology Report Evaluation.
Zhenxuan Zhang, Kinhei Lee, Peiyuan Jing, Weihang Deng, Huichi Zhou, Zihao Jin, Jiahao Huang, Zhifan Gao, Dominic C. Marshall, Yingying Fang, Guang Yang
2026GENMAC: Compositional Text-to-Video Generation with Multi-Agent Collaboration.
Kaiyi Huang, Yukun Huang, Xuefei Ning, Zinan Lin, Yu Wang, Xihui Liu
2026GEWDiff: Geometric Enhanced Wavelet-based Diffusion Model for Hyperspectral Image Super-resolution.
Sirui Wang, Jiang He, Natàlia Blasco Andreo, Xiao Xiang Zhu
2026GHOST: Solving the Traveling Salesman Problem on Graphs of Convex Sets.
Jingtao Tang, Hang Ma
2026GIER: Addressing Class Imbalance in GNNs Through Experience Replay.
Liu Yang, Chuyao Liu, Zidong Wang, Tingxuan Chen, Mengni Chen, Hongyu Zhang
2026GIIM: Graph-based Learning of Inter- and Intra-view Dependencies for Multi-view Medical Image Diagnosis.
Tran Bao Sam, Hung Vu, Trung Kien Dao, Tran Dat Dang, Van Ha Tang, Steven Q. H. Truong
2026GINO-Q: Learning an Asymptotically Optimal Index Policy for Restless Multi-armed Bandits.
Gongpu Chen, Soung Chang Liew, Deniz Gündüz
2026GLANCE: Global Actions in a Nutshell for Counterfactual Explainability.
Loukas Kavouras, Eleni Psaroudaki, Konstantinos Tsopelas, Dimitrios Rontogiannis, Nikolaos Theologitis, Dimitris Sacharidis, Giorgos Giannopoulos, Dimitrios Tomaras, Kleopatra Markou, Dimitrios Gunopulos, Dimitris Fotakis, Ioannis Z. Emiris
2026GLOBA: Rethinking Parameter Conflicts in Model Merging.
Zehao Liu, Kun Li, Wei Zhou
2026GLoMOT: Efficient Online GNN-based Low-Frame-Rate Multi-Object Tracker.
Yaxuan Hu, Jie Hua, Gang Wu, Yuhong Yang, Atsushi Suzuki, Zhongyuan Wang
2026GMAI-VL & GMAI-VL-5.5M: A Large Vision-Language Model and a Comprehensive Multimodal Dataset Towards General Medical AI.
Tianbin Li, Yanzhou Su, Wei Li, Bin Fu, Zhe Chen, Ziyan Huang, Guoan Wang, Chenglong Ma, Ying Chen, Ming Hu, Yanjun Li, Pengcheng Chen, Shixiang Tang, Xiaowei Hu, Zhongying Deng, Yuanfeng Ji, Jin Ye, Yu Qiao, Junjun He
2026GOAL: Geometrically Optimal Alignment for Continual Generalized Category Discovery.
Jizhou Han, Chenhao Ding, Songlin Dong, Yuhang He, Shaokun Wang, Qiang Wang, Yihong Gong
2026GOMPSNR: Reflourish the Signal-to-Noise Ratio Metric for Audio Generation Tasks.
Lingling Dai, Andong Li, Cheng Chi, Yifan Liang, Xiaodong Li, Chengshi Zheng
2026GP-MoLFormer-Sim: Test Time Molecular Optimization Through Contextual Similarity Guidance.
Jirí Navrátil, Jarret Ross, Payel Das, Youssef Mroueh, Samuel C. Hoffman, Vijil Chenthamarakshan, Brian Belgodere
2026GPGS: Consistent 3D Object Removal via Geometry-Aware 3D Inpainting and Projected Image Refinement in 3D Gaussian Splatting.
Yongjoon Lee, Donghyeon Cho
2026GPTKB v1.5: A Massive Knowledge Base for Exploring Factual LLM Knowledge.
Yujia Hu, Tuan-Phong Nguyen, Shrestha Ghosh, Moritz Müller, Simon Razniewski
2026GRAM-R²: Self-Training Generative Foundation Reward Models for Reward Reasoning.
Chenglong Wang, Yongyu Mu, Hang Zhou, Yifu Huo, Ziming Zhu, Jiali Zeng, Murun Yang, Bei Li, Xiaoyang Hao, Chunliang Zhang, Fandong Meng, Jingbo Zhu, Tong Xiao
2026GRDC: A Unified Graph-Driven Framework for Role Discovery and Communication in Multi-Agent Reinforcement Learning.
Zihong Gao, Hongjian Liang, Yuanhui Hao, Lei Hao, Liangjun Ke
2026GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction.
Shiyuan Luo, Chonghao Qiu, Runlong Yu, Yiqun Xie, Xiaowei Jia
2026GRIM: Task-Oriented Grasping with Conditioning on Generative Examples.
Shailesh, Alok Raj, Nayan Kumar, Priya Shukla, Andrew Melnik, Michael Beetz, Gora Chand Nandi
2026GRIP: Latent Field-Guided Graph Policy for Budget-Constrained Multi-Agent Routing.
Yujiao Hu, Zuyu Chen, Mengjie Lee, Jinchao Chen, Meng Shen, Hailun Zhang, Wei Li, Yan Pan
2026GROVER: Graph-guided Representation of Omics and Vision with Expert Regulation for Adaptive Spatial Multi-omics Fusion.
Yongjun Xiao, Dian Meng, Xinlei Huang, Yanran Liu, Shiwei Ruan, Ziyue Qiao, Xubin Zheng
2026GS-Checker: Tampering Localization for 3D Gaussian Splatting.
Haoliang Han, Ziyuan Luo, Jun Qi, Anderson Rocha, Renjie Wan
2026GSAG-CDGAN: A Generalizable Small-Sample Attention-Guided GAN for Remote Sensing Change Detection (Student Abstract).
Ruteng Yu, Lukun Wang, Jiaming Pei
2026GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning.
Wolfgang Otto, Lu Gan, Sharmila Upadhyaya, Saurav Karmakar, Stefan Dietze
2026GT-SNT: A Linear-Time Transformer for Large-Scale Graphs via Spiking Node Tokenization.
Huizhe Zhang, Jintang Li, Yuchang Zhu, Huazhen Zhong, Liang Chen
2026GT2-GS: Geometry-aware Texture Transfer for Gaussian Splatting.
Wenjie Liu, Zhongliang Liu, Junwei Shu, Changbo Wang, Yang Li
2026GUI-Eyes: Tool-Augmented Perception for Visual Grounding in GUI Agents.
Chen Chen, Jiawei Shao, Dakuan Lu, Haoyi Hu, Xiangcheng Liu, Hantao Yao, Wu Liu
2026GUI-G²: Gaussian Reward Modeling for GUI Grounding.
Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
2026GUIC: Certified Graph Unlearning with Individual Fairness Guarantees.
Zichong Wang, Tongliang Liu, Wenbin Zhang
2026GUIDE: Gaussian Unified Instance Detection for Enhanced Obstacle Perception in Autonomous Driving.
Chunyong Hu, Qi Luo, Jianyun Xu, Song Wang, Qiang Li, Sheng Yang
2026GUIDER: Uncertainty Guided Dynamic Re-ranking for Large Language Models Based Recommender Systems.
Cai Xu, Xujing Wang, Ziyu Guan, Wei Zhao, Meng Yan
2026GUSLO: General and Unified Structured Light Optimization.
Tinglei Wan, Zhongjie Wang, Tonghua Su
2026Gait Recognition via Collaborating Discriminative and Generative Diffusion Models.
Haijun Xiong, Bin Feng, Bang Wang, Xinggang Wang, Wenyu Liu
2026Gait Transformer: End-to-End Transformer Backbone for Gait Recognition.
Saihui Hou, Wenpeng Lang, Jilong Wang, Yan Huang, Liang Wang, Yongzhen Huang
2026Game Ground Bench: Probing the Limits of LVLMs in Complex Semantic Grounding Across Game Universes.
Zhangyang Qi, Jinsong Li, Hongjian Wu, Jiaqi Wang, Hengshuang Zhao
2026Game Theory Based Community-Aware Opinion Dynamics.
Shanfan Zhang, Yongyi Lin, Xiaoting Shen, Zhan Bu, Yuan Rao
2026Game-Theoretic Simulations Meet AI: Fast Policy Recommendations Under Data Scarcity (Student Abstract).
Phuong-Anh Duong, Luong-Ngoc-Anh Vu, Binh Nguyen Thi
2026Games of Representation: Developing Card-Based Activities to Teach About Representation and Bias in AI Datasets.
Katherine S. Moore, Helen Zhang, Irene Lee
2026GateRA: Token-aware Modulation for Parameter-Efficient Fine-tuning.
Jie Ou, Shuaihong Jiang, Yingjun Du, Cees G. M. Snoek
2026Gated Variational Graph Autoencoders as Experts with Competition and Consensus for Multi-view Clustering.
Zhaoliang Chen, William K. Cheung, Hong-Ning Dai, Byron Choi, Jiming Liu
2026Gaussian Approximation for Two-Timescale Linear Stochastic Approximation.
Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov, Vladimir V. Ulyanov, Sergey Samsonov
2026Gaussian Blending: Rethinking Alpha Blending in 3D Gaussian Splatting.
Junseo Koo, Jinseo Jeong, Gunhee Kim
2026Gaussian Uncertainty-Driven Multi-Model Fitting with Graph Neural Network.
Ligang Zhang, Jun Li, Qiming Li
2026GaussianImage++: Boosted Image Representation and Compression with 2D Gaussian Splatting.
Tiantian Li, Xinjie Zhang, Xingtong Ge, Tongda Xu, Dailan He, Jun Zhang, Yan Wang
2026GazeInterpreter: Parsing Eye Gaze to Generate Eye-Body-Coordinated Narrations.
Qing Chang, Zhiming Hu
2026GeM-VG: Towards Generalized Multi-image Visual Grounding with Multimodal Large Language Models.
Shurong Zheng, Yousong Zhu, Hongyin Zhao, Fan Yang, Yufei Zhan, Ming Tang, Jinqiao Wang
2026GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models.
Yi Lin, Ziyi Zhou, Jiashi Gao, Xinwei Guo, Jiaxin Zhang, Haiyan Wu, Xin Yao, Xuetao Wei
2026GenMatLab: A Generative Platform for Inverse Materials Design.
Hangwei Qian, Yang He, Yaxin Shi, Ivor W. Tsang
2026GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative Reasoning.
Jian Zhao, Runze Liu, Kaiyan Zhang, Zhimu Zhou, Junqi Gao, Dong Li, Jiafei Lyu, Zhouyi Qian, Biqing Qi, Xiu Li, Bowen Zhou
2026GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization.
Zhenliang Gan, Chunya Liu, Yichao Tang, Binghao Wang, Shiwen Cui, Weiqiang Wang, Xinpeng Zhang
2026GenVidBench: A 6-Million Benchmark for AI-Generated Video Detection.
Zhenliang Ni, Qiangyu Yan, Mouxiao Huang, Tianning Yuan, Yehui Tang, Hailin Hu, Xinghao Chen, Yunhe Wang
2026Gene Incremental Learning for Single-Cell Transcriptomics.
Jiaxin Qi, Yan Cui, Jianqiang Huang, Gaogang Xie
2026GenePheno: Interpretable Gene Knockout-Induced Phenotype Abnormality Prediction from Gene Sequences.
Jingquan Yan, Yuwei Miao, Lei Yu, Yuzhi Guo, Xue Xiao, Lin Xu, Junzhou Huang
2026Generalising Traffic Forecasting to Regions Without Traffic Observations.
Xinyu Su, Majid Sarvi, Feng Liu, Egemen Tanin, Jianzhong Qi
2026Generalizable Drug-Target Interaction Prediction via ESM-2 Representations and Progressive Contrastive Curriculum Learning.
Qianyang Wu, Jingwei Lv, Zilong Zhang, Feifei Cui
2026Generalizable Heterogeneity-aware Federated Feature and Basic-matrix Consistency Learning.
Xuan Lai, Luying Zhong, Tianying Lu, Junjie Zhang, Zhiqin Huang, Zheyi Chen
2026Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts.
Sumin Lee, Sungwon Park, Jeasurk Yang, Jihee Kim, Meeyoung Cha
2026Generalizable and Efficient Automated Scoring with a Knowledge-Distilled Multi-Task Mixture-of-Experts.
Luyang Fang, Tao Wang, Ping Ma, Xiaoming Zhai
2026Generalization Bounds for Semi-supervised Matrix Completion with Distributional Side Information.
Antoine Ledent, Mun Chong Soo, Nong Minh Hieu
2026Generalized Geometry Encoding Volume for Real-time Stereo Matching.
Jiaxin Liu, Gangwei Xu, Xianqi Wang, Chengliang Zhang, Xin Yang
2026Generalized Threshold Optimization with Harmony Multi-Threshold Neurons for Accurate ANN-to-SNN Conversion.
Wenhan Zhang, Zihan Huang, Tong Bu, Tiejun Huang, Zhaofei Yu
2026Generalized-Scale Object Counting with Gradual Query Aggregation.
Jer Pelhan, Alan Lukezic, Matej Kristan
2026Generalizing Analogical Inference from Boolean to Continuous Domains.
Francisco Cunha, Yves Lepage, Miguel Couceiro, Zied Bouraoui
2026Generalizing Fair Clustering to Multiple Groups: Algorithms and Applications.
Diptarka Chakraborty, Kushagra Chatterjee, Debarati Das, Tien Long Nguyen
2026Generalizing Vision-Language Models with Dedicated Prompt Guidance.
Xinyao Li, Yinjie Min, Hongbo Chen, Zhekai Du, Fengling Li, Jingjing Li
2026Generating Attribute-Aware Human Motions from Textual Prompt.
Xinghan Wang, Kun Xu, Fei Li, Cao Sheng, Jiazhong Yu, Yadong Mu
2026Generating In-Distribution Counterfactual Explanation for Graph Neural Networks.
Linmao Chen, Chaobo He, Junwei Cheng, Chunying Li, Quanlong Guan
2026Generating Risky Samples with Conformity Constraints via Diffusion Models.
Han Yu, Hao Zou, Xingxuan Zhang, Zhengyi Wang, Yue He, Kehan Li, Peng Cui
2026Generating Sketches in a Hierarchical Auto-Regressive Process for Flexible Sketch Drawing Manipulation at Stroke-Level.
Sicong Zang, Shuhui Gao, Zhijun Fang
2026Generating Streamlining Constraints with Large Language Models (Abstract Reprint).
Florentina Voboril, Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider
2026Generating-Filtering-Ranking: A Three-Stage MultiModal Data Augmentation Framework Under Partial Modality Missing.
Zhirui Kuai, Huan Zhang, Yang Yang, Yiping Ma, Mingjing Huang, Ning Gui, Li Kuang
2026Generative AI Against Poaching: Latent Composite Flow Matching for Poaching Prediction.
Lingkai Kong, Haichuan Wang, Charles A. Emogor, Vincent Börsch-Supan, Lily Xu, Milind Tambe
2026Generative AI as a Cognitive Co-Participant: Disciplinary Modulation of EFL Academic Reading Load and Motivation.
Yingqi Wang, Xiaohang Luo
2026Generative AI-Driven Data Transformation for Enhanced Machine Learning Performance (Student Abstract).
Christopher MacDowell, Sarah Setiawan, Carol Jim, Ahmed Salem
2026Generative Branching for Mixed-Integer Linear Programming.
Ruobing Wang, Xin Li, Yangchuan Wang, Zijian Zhang, Mingzhong Wang
2026Generative Graphical Inverse Kinematics (Abstract Reprint).
Oliver Limoyo, Filip Maric, Matthew Giamou, Petra Alexson, Ivan Petrovic, Jonathan Kelly
2026Generic Adversarial Attack Framework Against Graph-based Vertical Federated Learning.
Yimin Liu, Peng Jiang, Qi Liu, Liehuang Zhu
2026Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills.
Jiayu Zhou, Qiwei Wu, Jian Li, Zhe Chen, Xiaogang Xiong, Renjing Xu
2026Geo2Vec: Shape- and Distance-Aware Neural Representation of Geospatial Entities.
Chen Chu, Cyrus Shahabi
2026GeoBayes: Probabilistic Image Geo-Localization Inference via Sequential Bayesian Updating.
Weimin Shi, Xiang Li, Kaige Li, Junhao Fang, Qiang Zhou, Qichuan Geng, Zhong Zhou
2026GeoCoBox: Box-supervised 3D Tumor Segmentation via Geometric Co-embedding.
Tianzhong Lan, Zhang Yi, Xiuyuan Xu, Min Zhu
2026GeoGen: A Two-stage Coarse-to-Fine Framework for Fine-grained Synthetic Location-based Social Network Trajectory Generation.
Rongchao Xu, Kunlin Cai, Lin Jiang, Zhiqing Hong, Yuan Tian, Guang Wang
2026GeoMoE: Divide-and-Conquer Motion Field Modeling with Mixture-of-Experts for Two-View Geometry.
Jiajun Le, Jiayi Ma
2026GeoNum: Bridging Numerical Continuity and Language Semantics via Geometric Embedding.
Shengkai Jin, Tianyu Chen, Chonghan Gao, Jun Han
2026GeoPTH: A Lightweight Approach to Category-Based Trajectory Retrieval via Geometric Prototype Trajectory Hashing.
Yang Xu, Zuliang Yang, Kai Ming Ting
2026GeoProblem Factory: A Visual Interaction System for Solvable and Controllable Geometric Problem Generation by Leveraging Symbolic Deduction Engine.
Zhuoxuan Jiang, Yanpeng Li, Tianyang Zhang, Jing Chen, Yong Li, Mo Guang, Wen Si, Shaohua Zhang
2026GeoShield: Safeguarding Geolocation Privacy from Vision-Language Models via Adversarial Perturbations.
Xinwei Liu, Xiaojun Jia, Yuan Xun, Simeng Qin, Xiaochun Cao
2026GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal Models.
Yushuo Zheng, Jiangyong Ying, Huiyu Duan, Chunyi Li, Zicheng Zhang, Jing Liu, Xiaohong Liu, Guangtao Zhai
2026Geometric Correspondence Constrained Pseudo-Label Alignment for Source-Free Domain Adaptive Fundus Image Segmentation.
Zhouhongyuan Hu, Lei Zhang, Lituan Wang, Zhenwei Zhang, Minjuan Zhu, Zhenbin Wang
2026Geometrically Inspired Kernel Machines for Collaborative Learning Beyond Gradient Descent (Abstract Reprint).
Mohit Kumar, Alexander Valentinitsch, Magdalena Fuchs, Mathias Brucker, Juliana Bowles, Adnan Husakovic, Ali Abbas, Bernhard Alois Moser
2026Geometry Meets Light: Leveraging Geometric Priors for Universal Photometric Stereo Under Limited Multi-Illumination Cues.
King-Man Tam, Satoshi Ikehata, Yuta Asano, Zhaoyi An, Rei Kawakami
2026Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval.
Xinpan Yuan, Shaomin Xie, Liujie Hua, Chengyuan Zhang, Guihu Zhao, Lin Yuanbo Wu
2026Geometry-Aware Stereo Matching via Monocular Disparity Distribution Prior and Gradient Enhancement.
Junze Zhang, Luoxi Jing, Yuanyuan Wang, Xueqi Li, Guoli Yang, Songchang Jin, Chunping Qiu
2026Geometry-Aware Variational Information Maximization for Deep Incomplete Multi-view Clustering.
Wenlan Chen, Lu Gao, Daoyuan Wang, Fei Guo, Cheng Liang
2026Ghost in the Transformer: Detecting Model Reuse with Invariant Spectral Signatures.
Suqing Wang, Ziyang Ma, Xinyi Li, Zuchao Li
2026GigaMoE: Sparsity-Guided Mixture of Experts for Efficient Gigapixel Object Detection.
Xiang Li, Wenxi Li, Yuetong Wang, Chenyang Lyu, Haozhe Lin, Guiguang Ding, Yuchen Guo
2026GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging.
Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang, Yuntao Du, Pin Lyu
2026GlitchCleaner: Lightweight Glitch Tokens Repairing by Lossless Gated LoRA in Large Language Models.
Yibo Fan, Jingru Li, Huan Li
2026GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimization.
Zihui Wu, Haichang Gao, Ping Wang, Shudong Zhang, Zhaoxiang Liu, Shiguo Lian
2026GloCTM: Cross-Lingual Topic Modeling via a Global Context Space.
Nguyen Tien Phat, Ngo Vu Minh, Linh Ngo Van, Nguyen Thi Ngoc Diep, Thien Huu Nguyen
2026GloTok: Global Perspective Tokenizer for Image Reconstruction and Generation.
Xuan Zhao, Zhongyu Zhang, Yuge Huang, Yuxi Mi, Guodong Mu, Shouhong Ding, Jun Wang, Rizen Guo, Shuigeng Zhou
2026Global Compression Commander: Plug-and-Play Inference Acceleration for High-Resolution Large Vision-Language Models.
Xuyang Liu, Ziming Wang, Junjie Chen, Yuhang Han, Yingyao Wang, Jiale Yuan, Jun Song, Siteng Huang, Honggang Chen
2026Global-Lens Transformers: Adaptive Token Mixing for Dynamic Link Prediction.
Tao Zou, Chengfeng Wu, Tianxi Liao, Junchen Ye, Bowen Du
2026Global-Local Confidence Fusion for Hallucination Detection in Mathematical Reasoning Task.
Bo Zhang, Cong Gao, Linkang Yang, Bingxu Han, Minghao Hu, Zhunchen Luo, Guotong Geng, Xiaoying Bai, Jun Zhang, Wen Yao, Zhong Wang
2026GlyphShield: Document Watermarking for the Physical World via Vector Typeface Synthesis.
Nan Sun, Yuxing Lu, Han Fang, Hefei Ling, Sijing Xie, Luyu Yuan, Chengxin Zhao
2026Goal-Oriented Time-Series Forecasting: Foundation Framework Design.
Luca-Andrei Fechete, Mohamed Sana, Fadhel Ayed, Nicola Piovesan, Wenjie Li, Antonio De Domenico, Tareq Si Salem
2026Good Gradients Poison Your Model: Evading Defenses in Federated Learning via Boundary-adaptive Perturbation.
Xiaojie Zhao, Jinqiao Shi, Yi Li, Junmin Huang, Chongru Fan
2026Good-for-MDP State Reduction for Stochastic LTL Planning.
Christoph Weinhuber, Giuseppe De Giacomo, Yong Li, Sven Schewe, Qiyi Tang
2026Gotta Hear Them All: Towards Sound Source Aware Audio Generation.
Wei Guo, Heng Wang, Jianbo Ma, Weidong Cai
2026GraFT: Infusing Pre-trained Transformers with Relational Structure for Time Series Forecasting.
Yuqi Yuan, Xiong Luo, Qiaojuan Peng, Wenbing Zhao
2026Gracefully Air-Written: Enhancing the Legibility and Style Consistency of In-Air Handwriting.
Yu Liu, Cunrui Wang, Lin Feng, Jianxin Zhang, Bo Lu
2026Gradient as Conditions: Rethinking HOG for All-in-one Image Restoration.
Jiawei Wu, Zhifei Yang, Zhe Wang, Zhi Jin
2026Gradient-Protected Value Decomposition for Cooperative Multi-Agent Reinforcement Learning.
Jie Hou, Haowen Dou, Lujuan Dang, Liangjun Chen, Chenyang Ge
2026GranAlign: Granularity-Aware Alignment Framework for Zero-shot Video Moment Retrieval.
Mingyu Jeon, Sunjae Yoon, Jonghee Kim, Junyeong Kim
2026Graph Attention-Guided Search for Dense Multi-Agent Pathfinding.
Rishabh Jain, Keisuke Okumura, Michael Amir, Amanda Prorok
2026Graph Choosability via SAT: Beyond the Nullstellensatz.
Markus Kirchweger, Tomás Peitl, David Seka, Stefan Szeider
2026Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives.
Hongshan Pu, Haoxu Zhang, Ye Liu, Hongmin Cai
2026Graph Domain Adaptation via Homophily-Agnostic Reconstructing Structure.
Ruiyi Fang, Shuo Wang, Ruizhi Pu, Qiuhao Zeng, Hao Zheng, Ziyan Wang, Jiale Cai, Zhimin Mei, Song Tang, Charles Ling, Boyu Wang
2026Graph Flow Matching: Enhancing Image Generation with Neighbor-Aware Flow Fields.
Md Shahriar Rahim Siddiqui, Moshe Eliasof, Eldad Haber
2026Graph Masked Autoencoder for Multi-view Remote Sensing Data Clustering.
Renxiang Guan, Junhong Li, Siwei Wang, Tianrui Li, Dayu Hu, Miaomiao Li, Xinwang Liu
2026Graph Meets Deep Unfolding: An Interpretable Mutual-benefit Multi-view Learning Network.
Renjie Lin, Hongzhi He, Yilin Wu, Shide Du, Le Zhang
2026Graph Neural Field with Spatial-Correlation Augmentation for HRTF Personalization.
De Hu, Junsheng Hu, Cuicui Jiang
2026Graph Neural ODEs with Stability and Conservation Guarantees for Tumor Microenvironment Dynamics (Student Abstract).
Luong Doan, Tien Nguyen, Nhung Duong, Lap Nguyen, Tuan Do
2026Graph Out-of-Distribution Detection via Test-Time Calibration with Dual Dynamic Dictionaries.
Yue Hou, Ruomei Liu, Yingke Su, Junran Wu, Ke Xu
2026Graph RAG for Automated Short Answer Grading with Feedback: Bridging Pedagogical Needs and Technical Capabilities.
Guoliang Xu, James E. Corter
2026Graph Smoothing for Enhanced Local Geometry Learning in Point Cloud Analysis.
Shangbo Yuan, Jie Xu, Ping Hu, Xiaofeng Zhu, Na Zhao
2026Graph VQ-Transformer (GVT): Fast and Accurate Molecular Generation via High-Fidelity Discrete Latents.
Haozhuo Zheng, Cheng Wang, Yang Liu
2026Graph of Verification: Structured Verification of LLM Reasoning with Directed Acyclic Graphs.
Jiwei Fang, Bin Zhang, Changwei Wang, Jin Wan, Zhiwei Xu
2026Graph-Conditional Flow Matching for Relational Data Generation.
Davide Scassola, Sebastiano Saccani, Luca Bortolussi
2026Graph-Driven Domain Co-Adaptation for Cross-Domain Image Quality Assessment.
Shun Zhu, Xichen Yang, Yan Zhang, Tianshu Wang, Zhongyuan Mao, Tianyin Li, Zhuoyan Sun, Xiaobo Shen
2026Graph-Semantic Guided Learning for Virtual Immunohistochemistry Staining on Consecutive Histology Sections.
Fanhao Qiu, Yangyang Zhang, Zhengxia Wang
2026Graph-Theoretic Consistency for Robust and Topology-Aware Semi-Supervised Histopathology Segmentation (Student Abstract).
Ha-Hieu Pham, Minh Le, Han Huynh, Nguyen Quoc Khanh Le, Huy-Hieu Pham
2026Graph-augmented and Over-smoothing-resistant Contrastive Clustering for Short Text.
Zijian Zheng, Tao Ai, Yonghe Lu
2026Graph-based Label-Efficient Learning: When Graph-Structured Data Meets Limited Labels.
Zixing Song
2026Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting.
Giacomo Frisoni, Lorenzo Molfetta, Mattia Buzzoni, Gianluca Moro
2026Graph2Video: Leveraging Video Models to Model Dynamic Graph Evolution.
Hua Liu, Yanbin Wei, Fei Xing, Tyler Derr, Haoyu Han, Yu Zhang
2026GraphCoT-VLA: A 3D Spatial-Aware Reasoning Vision-Language-Action Model for Robotic Manipulation with Ambiguous Instructions.
Helong Huang, Min Cen, Kai Tan, Xingyue Quan, Guowei Huang, Hong Zhang
2026GraphGrasp: Lightweight and Efficient Graph-Guided 6-DoF Robotic Grasp Pose Estimation Network.
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
2026GraphIC: A Graph-Based In-Context Example Retrieval Model for Multi-Step Reasoning.
Jiale Fu, Yaqing Wang, Simeng Han, Jiaming Fan, Xu Yang
2026GraphIF: Enhancing Multi-Turn Instruction Following for Large Language Models with Relation Graph Prompt.
Zhenhe Li, Can Lin, Ling Zheng, Wen-Da Wei, Junli Liang, Qi Song
2026GraphOracle: Efficient Fully-Inductive Knowledge Graph Reasoning via Relation-Dependency Graphs.
Enjun Du, Siyi Liu, Yongqi Zhang
2026GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation.
Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang, Chaobo He, Quanlong Guan, Shirui Pan, Weiqi Luo
2026GraphTextack: A Realistic Black-Box Node Injection Attack on LLM-Enhanced GNNs.
Jiaji Ma, Puja Trivedi, Danai Koutra
2026GraphVSSM: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment.
Joshua Dimasaka, Christian Geiß, Emily So
2026GrayKD: Distilling Better Knowledge from Black-box LLM via Multi-rationale Injection.
Hyeongsoo Lim, Hyung Yong Kim, Jin Young Kim, Min Ho Jang, Eun Seo Seo, Youshin Lim, Shukjae Choi, Jihwan Park, Yunkyu Lim, Hanbin Lee, Byeong-Yeol Kim, Ji Won Yoon
2026Greedily Maximizing Ex-Ante Fairness.
Ruben Becker, Bojana Kodric, Cosimo Vinci
2026Griffin: Aerial-Ground Cooperative Detection and Tracking Dataset and Benchmark.
Jiahao Wang, Xiangyu Cao, Jiaru Zhong, Yuner Zhang, Zeyu Han, Haibao Yu, Chuang Zhang, Lei He, Shaobing Xu, Jianqiang Wang
2026Ground What You See: Hallucination-Resistant MLLMs via Caption Feedback, Diversity-Aware Sampling, and Conflict Regularization.
Miao Pan, Wangjie Gan, Jintao Chen, Wenqi Zhang, Bing Sun, Jianwei Yin, Xuhong Zhang
2026Grounding Actions in Camera Space: Observation-Centric Vision-Language-Action Policy.
Tianyi Zhang, Haonan Duan, Haoran Hao, Yu Qiao, Jifeng Dai, Zhi Hou
2026Group Causal Policy Optimization for Post-Training Large Language Models.
Ziyin Gu, Jingyao Wang, Ran Zuo, Chuxiong Sun, Zeen Song, Changwen Zheng, Wenwen Qiang
2026Group Fair Matchings Using Convex Cost Functions.
Atasi Panda, Harsh Sharma, Anand Louis, Prajakta Nimbhorkar
2026Group Orthogonal Low-Rank Adaptation for RGB-T Tracking.
Zekai Shao, Yufan Hu, Jingyuan Liu, Bin Fan, Hongmin Liu
2026Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis.
Kai Tang, Yixuan Tang, Tianyi Chen, Haokai Xu, Qiqi Luo, Jin Guang Zheng, Zhixin Zhang, Gang Chen, Haobo Wang
2026Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning.
Ying Zhang, Xingyue Guo, Yu Zhao, Xuhui Sui, Baohang Zhou, Xinying Qian, Xiaojie Yuan
2026Guarding Digital Identity: Attention-Guided Fusion for Detecting Forged ID Documents (Student Abstract).
Gargi S. Yeole, Poulomi Bhattacharya, Akshay Agarwal
2026Guess or Recall? Training CNNs to Classify and Localize Memorization in LLMs.
Jérémie Dentan, Davide Buscaldi, Sonia Vanier
2026GuidNoise: Single-Pair Guided Diffusion for Generalized Noise Synthesis.
Changjin Kim, HyeokJun Lee, Youngjoon Yoo
2026GuideGen: A Text-Guided Framework for Paired Full-torso Anatomy and CT Volume Generation.
Linrui Dai, Rongzhao Zhang, Yongrui Yu, Xiaofan Zhang
2026Guided Distillation and Risk Adaptive Evolution for Multi-Robot Navigation.
Xuyang Li, Jianwu Fang, Lin Li, Boyuan Chen, Guangliang Li, Jianru Xue
2026Guided Latent Spaces for Controllable Multi-Scenario Generation in Autonomous Driving (Student Abstract).
Manasa Mariam Mammen, Zafer Kayatas, Stefan Wagner
2026Guided Perturbation Sensitivity (GPS): Detecting Adversarial Text via Embedding Stability and Word Importance.
Bryan E. Tuck, Rakesh M. Verma
2026Guideline-Consistent Segmentation via Multi-Agent Refinement.
Vanshika Vats, Ashwani Rathee, James Davis
2026Guiding Point Cloud Denoising with Learned Structural Priors.
Chuchen Guo, Zheng Liu, Ying He
2026H-GAR: A Hierarchical Interaction Framework via Goal-Driven Observation-Action Refinement for Robotic Manipulation.
Yijie Zhu, Rui Shao, Ziyang Liu, Jie He, Jizhihui Liu, Jiuru Wang, Zitong Yu
2026H-RDT: Human Manipulation Enhanced Bimanual Robotic Manipulation.
Hongzhe Bi, Lingxuan Wu, Tianwei Lin, Hengkai Tan, Zhizhong Su, Hang Su, Jun Zhu
2026HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval.
Zixu Li, Yupeng Hu, Zhiwei Chen, Shiqi Zhang, Qinlei Huang, Zhiheng Fu, Yinwei Wei
2026HALO: Hardware-Aware Quantization with Low Critical-Path-Delay Weights for LLM Acceleration.
Rohan Juneja, Shivam Aggarwal, Safeen Huda, Tulika Mitra, Li-Shiuan Peh
2026HALoRA: Low-Rank Adaptation with Hierarchical Budget Allocation for Efficient Vision-Language Alignment.
Letian Zhang, Guanghao Meng, Xudong Ren, Jinpeng Wang
2026HAMLET4Fairness: Enhancing Fairness in AI Pipelines Through Human-Centered AutoML and Argumentation.
Joseph Giovanelli, Giuseppe Pisano, Roberta Calegari
2026HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning.
Wenqian Li, Pengfei Fang, Hui Xue
2026HAPO: Training Language Models to Reason Concisely via History-Aware Policy Optimization.
Chengyu Huang, Zhengxin Zhang, Claire Cardie
2026HARK: Hierarchical Agentic Retrieval with Keyframing for Video Understanding (Student Abstract).
Jingcheng Li, Ye Qiao, Sitao Huang
2026HATIR: Heat-Aware Diffusion for Turbulent Infrared Video Super-Resolution.
Yang Zou, Xingyue Zhu, Kaiqi Han, Jun Ma, Xingyuan Li, Zhiying Jiang, Jinyuan Liu
2026HC2-GNN: Hierarchical Graph Representation Learning for Efficient Text Classification.
Jiejie Fan, Xiaojuan Ban, Zhiyan Zhang, Xi Sun
2026HCC-3D: Hierarchical Compensatory Compression for 98% 3D Token Reduction in Vision-Language Models.
Liheng Zhang, Jin Wang, Hui Li, Bingfeng Zhang, Weifeng Liu
2026HCF: Hierarchical Cascade Framework for Distributed Multi-Stage Image Compression.
Junhao Cai, Taegun An, Chengjun Jin, Sung Il Choi, Juhyun Park, Changhee Joo
2026HCPO: Hierarchical Conductor-Based Policy Optimization in Multi-Agent Reinforcement Learning.
Zejiao Liu, Junqi Tu, Yitian Hong, Luolin Xiong, Yaochu Jin, Yang Tang, Fangfei Li
2026HDGS: Hierarchical Dynamic Gaussian Splatting for Urban Driving Scenes.
Fudong Ge, Jin Gao, Hanshi Wang, Yiwei Zhang, Ke Wang, Weiming Hu, Zhipeng Zhang
2026HDRMovieformer: A Transformer Framework and Benchmark for Cinematic SDR-to-HDR Conversion.
Xianwei Li, Huiyuan Fu, Chuanming Wang, Huadong Ma
2026HD²-SSC: High-Dimension High-Density Semantic Scene Completion for Autonomous Driving.
Zhiwen Yang, Yuxin Peng
2026HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation.
Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu, Kaicheng Yu, Yang Yu, ChengXiang Zhai
2026HFR-MKGC: Hierarchical Fusion Reasoning with MLLMs for Multi-modal Knowledge Graph Completion.
Di Wang, Junping Du, Zhe Xue, MeiYu Liang, Guanhua Ye, Yingxia Shao, Haisheng Li
2026HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction.
Qin-Yi Zhang, Hong Wang, Siyao Liu, Haichuan Lin, Linying Cao, Xiao-Hu Zhou, Chen Chen, Shuang-Yi Wang, Zeng-Guang Hou
2026HGLTR: Hierarchical Knowledge Injection for Calibrating Pre-trained Models in Long-Tail Recognition.
Jinpeng Zheng, Shao-Yuan Li, Gan Xu, Wenhai Wan, Zijian Tao, Songcan Chen, Kangkan Wang
2026HI-SLAM2: Geometry-Aware Gaussian SLAM for Fast Monocular Scene Reconstruction (Abstract Reprint).
Wei Zhang, Qing Cheng, David Skuddis, Niclas Zeller, Daniel Cremers, Norbert Haala
2026HINPool: A Unified Heterogeneous Graph Pooling Framework for Accurate Molecular and Protein Property Prediction.
Ming-Yi Hong, You-Chen Teng, Shao-En Lin, Chih-Yu Wang, Che Lin
2026HISE-KT: Synergizing Heterogeneous Information Networks and LLMs for Explainable Knowledge Tracing with Meta-Path Optimization.
Zhiyi Duan, Zixing Shi, Hongyu Yuan, Qi Wang
2026HKAFER: Achieve Visual Parameter-Efficient Fine-Tuning via Heterogeneous Kronecker Adaptation for Facial Expression Recognition.
Yu Gao, Haoyu Ji, Zhiyong Wang, Wenze Huang, Qian Dong, Zhihao Yang, Xueting Liu, Weihong Ren, Honghai Liu
2026HLML-SNN：Fast Continual Learning in Spiking Neural Networks Achieved via Hebbian Learning-Driven Meta-Learning.
Jiangshuai Xu, Peiyun Xue, Jiacheng Song, Xuhui Huang, Qingshan Hou
2026HLPD: Aligning LLMs to Human Language Preference for Machine-Revised Text Detection.
Fangqi Dai, Xingjian Jiang, Zizhuang Deng
2026HMformer: Unleashing Transformer's Potential for Time Series Forecasting via Hierarchical Multi-Scale Modeling.
Renjun Huang, Han Xiao, Bingqing Li, Baili Zhang, Jianhua Lyu
2026HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting.
Andrey V. Savchenko, Oleg Kachan
2026HOSIG: Full-Body Human-Object-Scene Interaction Generation with Hierarchical Scene Perception.
Wei Yao, Yunlian Sun, Hongwen Zhang, Yebin Liu, Jinhui Tang
2026HPSU: A Benchmark for Human-Level Perception in Real-World Spoken Speech Understanding.
Chen Li, Peiji Yang, Yicheng Zhong, Jianxing Yu, Zhisheng Wang, Zihao Gou, Wenqing Chen, Jian Yin
2026HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios.
Bingsong Bai, Yizhong Geng, Fengping Wang, Cong Wang, Puyuan Guo, Yingming Gao, Ya Li
2026HSA-Net: Hierarchical and Structure-Aware Framework for Efficient and Scalable Molecular Language Modeling.
Zihang Shao, Wentao Lei, Lei Wang, Wencai Ye, Li Liu
2026HSKBenchmark: Modeling and Benchmarking Chinese Second Language Acquisition in Large Language Models Through Curriculum Tuning.
Qihao Yang, Xuelin Wang, JiaLe Chen, Xuelian Dong, Yuxin Hao, Tianyong Hao
2026HTG-GCL: Leveraging Hierarchical Topological Granularity from Cellular Complexes for Graph Contrastive Learning.
Qirui Ji, Bin Qin, Yifan Jin, Yunze Zhao, Chuxiong Sun, Changwen Zheng, Jianwen Cao, Jiangmeng Li
2026HTN Plan Verification by Qualitative Temporal Reasoning.
Tobias Schwartz, Diedrich Wolter
2026HTTrack: Learning to Perceive Targets via Historical Trajectories in Satellite Video Tracking.
Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Shuo Li, Xinyi Wang, Lingling Li, Puhua Chen, Xu Liu
2026HaNa: Hardness and Noise-Aware Robust Cross-modal Retrieval.
Fangming Zhong, Haiquan Yu, Cun Zhu, Suhua Zhang
2026HalluClean: A Unified Framework to Combat Hallucinations in LLMs.
Yaxin Zhao, Yu Zhang
2026Hallucinate Less by Thinking More: Aspect-Based Causal Abstention for Large Language Models.
Vy Nguyen, Ziqi Xu, Jeffrey Chan, Estrid He, Feng Xia, Xiuzhen Zhang
2026Hallucination as a Computational Boundary: A Hierarchy of Inevitability and the Oracle Escape.
Xi Wang, Quan Shi, Zenghui Ding, Jianqing Gao, Xianjun Yang
2026Hallucinations at the Firewall.
Woo Jon Hou Ainsley
2026HandMCM: Multi-modal Point Cloud-based Correspondence State Space Model for 3D Hand Pose Estimation.
Wencan Cheng, Gim Hee Lee
2026HanjaBridge: Resolving Semantic Ambiguity in Korean LLMs via Hanja-Augmented Pre-Training.
Seungho Choi, Sihyun Park, Minsang Kim, Chansol Park, Bongsu Kim
2026Hard vs. Noise: Resolving Hard-Noisy Sample Confusion in Recommender Systems via Large Language Models.
Tianrui Song, Wen-Shuo Chao, Hao Liu
2026HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference.
Hanwen Liu, Kexin Shi, Jieyuan Zhang, Yimeng Shan, Jibin Wu, Wenyu Chen, Malu Zhang
2026HarmoQ: Harmonized Post-Training Quantization for High-Fidelity Image Super-Resolution.
Hongjun Wang, Jiyuan Chen, Xuan Song, Yinqiang Zheng
2026Harmonic Dataset Distillation for Time Series Forecasting.
Seungha Hong, Sanghwan Jang, Wonbin Kweon, Suyeon Kim, Gyuseok Lee, Hwanjo Yu
2026Harnessing Diffusion-Generated Synthetic Images for Fair Image Classification.
Abhipsa Basu, Aviral Gupta, Abhijnya Bhat, Venkatesh Babu Radhakrishnan
2026Harnessing Textual Semantic Priors for Knowledge Transfer and Refinement in CLIP-Driven Continual Learning.
Lingfeng He, De Cheng, Di Xu, Huaijie Wang, Nannan Wang
2026Harnessing Vision-Language Models for Time Series Anomaly Detection.
Zelin He, Sarah Alnegheimish, Matthew Reimherr
2026Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models.
Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2026Hashed Watermark as a Filter: A Unified Defense Against Forging and Overwriting Attacks in Neural Network Watermarking.
Yuan Yao, Jin Song, Jian Jin
2026Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling.
Ziran Qin, Youru Lv, Mingbao Lin, Hang Guo, Zeren Zhang, Danping Zou, Weiyao Lin
2026HeadHunt-VAD: Hunting Robust Anomaly-Sensitive Heads in MLLM for Tuning-Free Video Anomaly Detection.
Zhaolin Cai, Fan Li, Ziwei Zheng, Haixia Bi, Lijun He
2026HealSplit: Towards Self-Healing Through Adversarial Distillation in Split Federated Learning.
Yuhan Xie, Chen Lyu
2026Hearing More with Less: Multi-Modal Retrieval-and-Selection Augmented Conversational LLM-Based ASR.
Bingshen Mu, Hexin Liu, Hongfei Xue, Kun Wei, Lei Xie
2026HeartLLM: Discretized ECG Tokenization for LLM-Based Diagnostic Reasoning.
Jinning Yang, Wenjie Sun, Wen Shi
2026Heterogeneous Complementary Distillation.
Liuchi Xu, Hao Zheng, Lu Wang, Lisheng Xu, Jun Cheng
2026Heterogeneous Graph Neural Networks for Assumption-Based Argumentation.
Preesha Gehlot, Anna Rapberger, Fabrizio Russo, Francesca Toni
2026Heterogeneous Uncertainty-Guided Composed Image Retrieval with Fine-Grained Probabilistic Learning.
Haomiao Tang, Jinpeng Wang, Minyi Zhao, Guanghao Meng, Ruisheng Luo, Long Chen, Shu-Tao Xia
2026Heterophily-aware Contrastive Learning for Heterophilic Hypergraphs.
Ming Li, Yongqi Li, Yuting Chen, Feilong Cao, Ke Lv
2026Hexaïssa: Standing on Giants' Shoulders - Routing the Best Chess Engines with Mixture-of-Experts and Latent Reward Learning.
Bach Ngo, Nguyen Hoang Khoi Do
2026Hi-EF: Benchmarking Emotion Forecasting in Human-interaction.
Haoran Wang, Xinji Mai, Zeng Tao, Junxiong Lin, Xuan Tong, Ivy Pan, Shaoqi Yan, Yan Wang, Shuyong Gao
2026HiCL: Hippocampal-Inspired Continual Learning.
Kushal Kapoor, Wyatt Mackey, Yiannis Aloimonos, Xiaomin Lin
2026HiFC-GAN: Hierarchical Feature-Constrained GAN for Optical-to-SAR Transfer in SAR Target Classification.
Hao Zheng, Meiguang Zheng, Zhigang Hu, Liu Yang, Aikun Xu, Tingxuan Chen, Rongchang Zhao, Boyu Wang
2026HiFi-Mamba: Dual-Stream ?-Laplacian Enhanced Mamba for High-Fidelity MRI Reconstruction.
Hongli Chen, Pengcheng Fang, Yuxia Chen, Yingxuan Ren, Jing Hao, Fangfang Tang, Xiaohao Cai, Shanshan Shan, Feng Liu
2026HiFi-Mesh: High-Fidelity Efficient 3D Mesh Generation via Compact Autoregressive Dependence.
Yanfeng Li, Tao Tan, Qinquan Gao, Zhiwen Cao, Xiaohong Liu, Yue Sun
2026HiFusion: Hierarchical Intra-Spot Alignment and Regional Context Fusion for Spatial Gene Expression Prediction from Histopathology.
Ziqiao Weng, Yaoyu Fang, Jiahe Qian, Xinkun Wang, Lee A. Cooper, Weidong Cai, Bo Zhou
2026HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models.
Zhiguang Lu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
2026HiLoMix: Robust High- and Low-Frequency Graph Learning Framework for Mixing Address Association.
Xiaofan Tu, Tiantian Duan, Shuyi Miao, Hanwen Zhang, Yi Sun
2026HiMo-CLIP: Modeling Semantic Hierarchy and Monotonicity in Vision-Language Alignment.
Ruijia Wu, Ping Chen, Fei Shen, Shaoan Zhao, Qiang Hui, Huanlin Gao, Ting Lu, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian
2026HiMo: High-Speed Objects Motion Compensation in Point Clouds (Abstract Reprint).
Qingwen Zhang, Ajinkya Khoche, Yi Yang, Li Ling, Sina Sharif Mansouri, Olov Andersson, Patric Jensfelt
2026HiNCoT: Hierarchical Nonlinear Continuous Transform-based Tensor Representation for Multi-Dimensional Data Recovery.
Tao Yang, Weihao Wu, Tingzhu Huang
2026HiPrune: Training-Free Visual Token Pruning via Hierarchical Attention in Vision-Language Models (Student Abstract).
Jizhihui Liu, Guangdao Zhu, Feiyi Du
2026HiQ-Lip: A Hierarchical Quantum-Classical Method for Global Lipschitz Constant Estimation of ReLU Networks.
Haoqi He, Yan Xiao, Wenzhi Xu, Ruoying Liu, Xiaokai Lin, Kai Wen
2026HiTVideo: Hierarchical Tokenizers for Enhancing Text-to-Video Generation with Autoregressive Large Language Models.
Ziqin Zhou, Yifan Yang, Yuqing Yang, Tianyu He, Houwen Peng, Kai Qiu, Qi Dai, Lili Qiu, Chong Luo, Lingqiao Liu
2026HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological Evolution.
Jinzhou Tang, Jusheng Zhang, Qinhan Lv, Sidi Liu, Jing Yang, Chengpei Tang, Keze Wang
2026Hidden in the Noise: Unveiling Backdoors in Audio LLMs Alignment Through Latent Acoustic Pattern Triggers.
Liang Lin, Miao Yu, Kaiwen Luo, Yibo Zhang, Lilan Peng, Dexian Wang, Xuehai Tang, Yuanhe Zhang, Xikang Yang, Zhenhong Zhou, Kun Wang, Yang Liu
2026Hide and Seek with LLMs: An Adversarial Game for Sneaky Error Generation and Self-Improving Diagnosis.
Rui Zou, Mengqi Wei, Yutao Zhu, Jirong Wen, Xin Zhao, Jing Chen
2026HierSearch: A Hierarchical Enterprise Deep Search Framework Integrating Local and Web Searches.
Jiejun Tan, Zhicheng Dou, Yan Yu, Jiehan Cheng, Lifeng Liu, Jian Xie, Jirong Wen
2026HierarNet: Independent Interactive Hierarchical Disease Outbreak Forecasting.
Zichi Zhang, Phi Hung Nguyen, Ngoc Phu Doan, Viet-Hung Tran, Xuan Hoang Nguyen, Hui Wang, Hans Vandierendonck, Son Thai Mai
2026Hierarchical Attention Network with Correction for Cross-Domain User Association.
Wenlong Liu, Ze Wang, Chenlong Wu, Yude Bai, Ji Zhang
2026Hierarchical Cross-View Alignment for Multi-View Clustering via Decoupled Information Distillation.
Taichun Zhou, Siwei Wang, Zhibin Dong, Jiaqi Jin, Ke Liang, Baili Xiao, Miaomiao Li, Xinwang Liu, En Zhu
2026Hierarchical Dataset Selection for High-Quality Data Sharing.
Xiaona Zhou, Yingyan Zeng, Ran Jin, Ismini Lourentzou
2026Hierarchical Direction Perception via Atomic Dot-Product Operators for Rotation-Invariant Point Clouds Learning.
Chenyu Hu, Xiaotong Li, Hao Zhu, Biao Hou
2026Hierarchical Dual-Domain Fusion with Frequency-Guided Spatial Modeling for Pan-Sharpening.
Huangqimei Zheng, Chengyi Pan, Qian Jiang, Wei Zhou, Xin Jin
2026Hierarchical Frequency-Decomposition Graph Neural Networks for Road Network Representation Learning.
Jingtian Ma, Jingyuan Wang, Leong Hou U
2026Hierarchical Frequency-Guided Alignment Transformer for Compressed Video Quality Enhancement.
Liuhan Peng, Shuai Li, Yanbo Gao, Mao Ye, Chong Lv
2026Hierarchical Prompt Learning for Image- and Text-Based Person Re-Identification.
Linhan Zhou, Shuang Li, Neng Dong, Yonghang Tai, Yafei Zhang, Huafeng Li
2026Hierarchical Reinforcement Learning with Topology-Aware Exploration Framework for Multi-path Commodity Flow Problem.
Jingchen Jiang, Xuan Zhou, Jiayuan Li, Geng Han, Xiang Shi, Fang Deng
2026Hierarchical Schedule Optimization for Fast and Robust Diffusion Model Sampling.
Aihua Zhu, Rui Su, Qinglin Zhao, Li Feng, Meng Shen, Shibo He
2026Hierarchical Semantic Alignment for Image Clustering.
Xingyu Zhu, Beier Zhu, Yunfan Li, Junfeng Fang, Shuo Wang, Kesen Zhao, Hanwang Zhang
2026Hierarchical Structure-Property Alignment for Data-Efficient Molecular Generation and Editing.
Ziyu Fan, Zhijian Huang, Yahan Li, Xiaowen Hu, Siyuan Shen, Yunliang Wang, Zeyu Zhong, Shuhong Liu, Shuning Yang, Shangqian Wu, Min Wu, Lei Deng
2026HierarchicalPrune: Position-Aware Compression for Large-Scale Diffusion Models.
Young D. Kwon, Rui Li, Sijia Li, Da Li, Sourav Bhattacharya, Stylianos I. Venieris
2026High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers.
Wenyu Liu, Tianqiang Huang, Pengfei Zhang, Zong Ke, Minghui Min, Puning Zhao
2026High-Order Error Bounds for Markovian LSA with Richardson-Romberg Extrapolation.
Ilya Levin, Alexey Naumov, Sergey Samsonov
2026High-Pass Matters: Theoretical Insights and Sheaflet-Based Design for Hypergraph Neural Networks.
Ming Li, Yujie Fang, Dongrui Shen, Han Feng, Xiaosheng Zhuang, Kelin Xia, Pietro Lio
2026High-Quality Full-Head 3D Avatar Generation from Any Single Portrait Image.
Yujie Gao, Chencheng Wang, Xianbing Sun, Jiahui Zhan, Wentao Wang, Yiyi Zhang, Haohua Zhao, Liqing Zhang, Jianfu Zhang
2026High-Speed FHD Full-Color Video Computer-Generated Holography.
Haomiao Zhang, Miao Cao, Xuan Yu, Hui Luo, Yanling Piao, Mengjie Qin, Zhangyuan Li, Ping Wang, Xin Yuan
2026Higher-Order Responsibility.
Junli Jiang, Pavel Naumov
2026Hilbert Curve-Encoded Rotation-Equivariant Oriented Object Detector with Locality-Preserving Spatial Mapping.
Qi Ming, Liuqian Wang, Juan Fang, Xudong Zhao, Yucheng Xu, Ziyi Teng, Yue Zhou, Xiaoxi Hu, Xiaohan Zhang, Yufei Guo
2026History-Aware Reasoning for GUI Agents.
Ziwei Wang, Leyang Yang, Xiaoxuan Tang, Sheng Zhou, Dajun Chen, Wei Jiang, Yong Li
2026History-Enhanced Two-Stage Transformer for Aerial Vision-and-Language Navigation.
Xichen Ding, Jianzhe Gao, Cong Pan, Wenguan Wang, Jie Qin
2026HitKV: Activation Frequency Knows Which Tokens Are Important.
Sanle Zhao, Yujuan Tan, Jing Yu, Zhuoxin Bai, Yue Niu, Jiayi Guo, Zongjie Wang, Ao Ren
2026HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems.
Yihan Xia, Taotao Wang, Shengli Zhang, Zhangyuhua Weng, Bin Cao, Soung Chang Liew
2026HogVul: Black-box Adversarial Code Generation Framework Against LM-based Vulnerability Detectors.
Jingxiao Yang, Ping He, Tianyu Du, Sun Bing, Xuhong Zhang
2026Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants.
Wei Chen, Wanyang Gu, Linjun Peng, Ting Yan, Ruichu Cai, Zhifeng Hao, Kun Zhang
2026HouseTune: Two-Stage Floorplan Generation with LLM Assistance.
Ziyang Zong, Guanying Chen, Zhaohuan Zhan, Fengcheng Yu, Guang Tan
2026How Bias Binds: Measuring Hidden Associations for Bias Control in Text-to-Image Compositions.
Jeng-Lin Li, Ming-Ching Chang, Wei-Chao Chen
2026How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias.
Arka Dutta, Reza Fayyazi, Shanchieh Yang, Ashiqur R. KhudaBukhsh
2026How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets.
Chung Peng Lee, Rachel Hong, Harry H. Jiang, Aster Plotnik, William Agnew, Jamie H. Morgenstern
2026How Does Alignment Enhance LLMs' Multilingual Capabilities? A Language Neurons Perspective.
Shimao Zhang, Zhejian Lai, Xiang Liu, Shuaijie She, Xiao Liu, Yeyun Gong, Shujian Huang, Jiajun Chen
2026How Does Chain of Thought Think? Mechanistic Interpretability of Chain-of-Thought Reasoning with Sparse Autoencoding.
Xi Chen, Aske Plaat, Niki van Stein
2026How Does LLM-powered Coding Assistance Shape Incidental Learning? Exploring Cognitive Forcing Strategies in Programming Education.
Ba-Thinh Tran-Le, Patrick Thomas, Nicholas M. Stiffler, Thuy Ngoc Nguyen
2026How Foundational Skills Influence VLM-based Embodied Agents: A Native Perspective.
Bo Peng, Pi Bu, Keyu Pan, Xinrun Xu, Yingxiu Zhao, Miao Chen, Yang Du, Lin Li, Jun Song, Tong Xu
2026How Good Are Inducing Points for Dataset Distillation? (Student Abstract).
Shrutimoy Das
2026How Hard Is It to Explain Preferences Using Few Boolean Attributes?
Clemens Anzinger, Jiehua Chen, Christian Hatschka, Manuel Sorge, Alexander Temper
2026How Hard Is It to Rig a Tournament When Few Players Can Beat or Be Beaten by the Favorite?
Zhonghao Wang, Junqiang Peng, Yuxi Liu, Mingyu Xiao
2026How Many Experts Are Enough? Towards Optimal Semantic Specialization for Mixture-of-Experts.
Sumin Park, Noseong Park
2026How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation Under the One-Time-Pad-Based Framework.
Zi Liang, Liantong Yu, Shiyu Zhang, Qingqing Ye, Haibo Hu
2026How Reasoning Influences Intersectional Biases in Vision-Language Models (Student Abstract).
Adit Desai, Sudipta Roy, Mohna Chakraborty
2026How Wide and How Deep? Mitigating Over-squashing of GNNs via Channel Capacity Constrained Estimation.
Zinuo You, Jin Zheng, John Cartlidge
2026HuiduRep: A Robust Self-Supervised Framework for Learning Neural Representations from Extracellular Recordings.
Feng Cao, Zishuo Feng, Jicong Zhang, Wei Shi
2026Human Cognition Inspired RAG with Knowledge Graph for Complex Problem Solving.
Yao Cheng, Yibo Zhao, Jiapeng Zhu, Yao Liu, Xing Sun, Xiang Li
2026Human Cognitive Biases in Explanation-based Interaction: The Case of Within and Between Session Order Effect.
Dario Pesenti, Alessandro Bogani, Katya Tentori, Stefano Teso
2026Human Motion Synthesis in 3D Scenes via Unified Scene Semantic Occupancy.
Jingyu Gong, Kunkun Tong, Zhuoran Chen, Chuanhan Yuan, Mingang Chen, Zhizhong Zhang, Xin Tan, Yuan Xie
2026Human Motion Unlearning.
Edoardo De Matteis, Matteo Migliarini, Alessio Sampieri, Indro Spinelli, Fabio Galasso
2026Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search.
Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin
2026Human-Centric Video Generation via Collaborative Multi-Modal Conditioning.
Liyang Chen, Tianxiang Ma, Jiawei Liu, Bingchuan Li, Zhuowei Chen, Lijie Liu, Xu He, Gen Li, Qian He, Zhiyong Wu
2026Human-Corrected Labels Learning: Enhancing Labels Quality via Human Correction of VLMs Discrepancies.
Zhongnian Li, Lan Chen, Yixin Xu, Shi Xu, Xinzheng Xu
2026Human-in-the-Loop Bandwidth Estimation for Quality of Experience Optimization in Real-Time Video Communication.
Sami Khairy, Gabriel Mittag, Vishak Gopal, Ross Cutler
2026Human-in-the-Loop Eider Duck Counting in Arctic Canada with an Open-Vocabulary Multi-Species Wildlife Detector.
Jayden Hsiao, Aryan Kalia, Zhonghao Zhang, Hudson Sun, Muhammed Patel, David A. Clausi, Lincoln Linlin Xu, Becky Segal, Joel Heath
2026Human2Robot: Learning Robot Actions from Paired Human-Robot Videos.
Sicheng Xie, Haidong Cao, Zejia Weng, Zhen Xing, Haoran Chen, Shiwei Shen, Jiaqi Leng, Zuxuan Wu, Yu-Gang Jiang
2026HumanPro: Single-view 3D Clothed Human Reconstruction with Progressive Normal Guidance.
Jianchi Sun, Fei Luo, Wenzhuo Fan, Yu Jiang, Chunxia Xiao
2026HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses Through Reasoning MLLMs.
Zheng Qin, Ruobing Zheng, Yabing Wang, Tianqi Li, Yi Yuan, Jingdong Chen, Le Wang
2026HumorReject: Decoupling LLM Safety from Refusal Prefix via a Little Humor.
Zihui Wu, Haichang Gao, Jiacheng Luo, Zhaoxiang Liu
2026HyCoRA: Hyper-Contrastive Role-Adaptive Learning for Role-Playing.
Shihao Yang, Zhicong Lu, Yong Yang, Bo Lv, Yang Shen, Nayu Liu
2026HyFI: Hyperbolic Feature Interpolation for Brain-Vision Alignment.
Sangmin Jo, Wootaek Jeong, Da-Woon Heo, Yoohwan Hwang, Heung-Il Suk
2026HyMoERec: Hybrid Mixture-of-Experts for Sequential Recommendation (Student Abstract).
Kunrong Li, Zhu Sun, Kwan Hui Lim
2026HyRNN: Hybrid Recurrent Neural Networks for Approximating Hybrid Dynamical Systems.
Ricardo G. Sanfelice
2026HybriDLA: Hybrid Generation for Document Layout Analysis.
Yufan Chen, Omar Moured, Ruiping Liu, Junwei Zheng, Kunyu Peng, Jiaming Zhang, Rainer Stiefelhagen
2026Hybrid PPO-DQN for Multi-Objective Adaptive Cruise Control in Eco-Driving: Reward Shaping Toward Safety and Sustainability (Student Abstract).
Tae Hoon Lee, Joongheon Kim
2026Hybrid Restricted Master Problem for Boolean Matrix Factorisation.
Ellen Visscher, Michael Forbes, Christopher Yau
2026Hybrid Routing for a Mixture of LoRA Experts.
Yitong Huang, Ziqi Yang, Zihui Wang, Jianzhong Qi, Rongshan Yu, Xiaoliang Fan, Cheng Wang
2026Hybrid Semantics Accounting for Argument Types.
Leila Amgoud, Marco Hanocq, Marie-Christine Lagasquie-Schiex
2026Hybrid Vector-Occupancy Field for Robust Implicit 3D Surface Reconstruction.
Yue Wu, Zhigang Gao, Tengfei Xiao, Can Qin, Yongzhe Yuan, Hao Li, Kaiyuan Feng, Wenping Ma
2026Hybrid-DMKG: A Hybrid Reasoning Framework over Dynamic Multimodal Knowledge Graphs for Multimodal Multihop QA with Knowledge Editing.
Li Yuan, Qingfei Huang, Bingshan Zhu, Yi Cai, Qingbao Huang, Changmeng Zheng, Zikun Deng, Tao Wang
2026Hybrid-Domain Adaptative Representation Learning for Gaze Estimation.
Qida Tan, Hongyu Yang, Wenchao Du
2026Hyper-Opinion Vagueness Quantification for Robust Multimodal Learning.
Disen Hu, Xun Jiang, Xiaofeng Cao, Zheng Wang, Jingkuan Song, Heng Tao Shen, Xing Xu
2026HyperAim: Hypergraph Contrastive Learning with Adaptive Multi-frequency Filters.
Ming Li, Ruiting Zhao, Zihao Yan, Lu Bai, Lixin Cui, Feilong Cao
2026HyperCOD: The First Challenging Benchmark and Baseline for Hyperspectral Camouflaged Object Detection.
Shuyan Bai, Tingfa Xu, Peifu Liu, Yuhao Qiu, Huiyan Bai, Huan Chen, Yanyan Peng, Jianan Li
2026HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting.
Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang
2026HyperDiag: Temporal-Regional Hypergraph Learning via Topology-Enhanced State Propagation for Brain Disease Diagnosis.
Yulan Ma, Fangkun Li, Wenchao Yang, Qian Si, Chenglong Yu, Yang Li
2026HyperGLLM: An Efficient Framework for Endpoint Threat Detection via Hypergraph-Enhanced Large Language Models.
Hongyi Zhou, Jianfeng Pan, Min Peng, Shaomang Huang, Hanzhong Zheng
2026HyperGOOD: Towards Out-of-Distribution Detection in Hypergraphs.
Tingyi Cai, Yunliang Jiang, Ming Li, Changqin Huang, Yujie Fang, Chengling Gao, Zhonglong Zheng
2026HyperLoad: A Cross-Modality Enhanced Large Language Model-Based Framework for Green Data Center Cooling Load Prediction.
Haoyu Jiang, Boan Qu, Junjie Zhu, Fanjie Zeng, Xiaojie Lin, Wei Zhong
2026HyperNoRA: Hyperedge Prediction via Node-Level Relation-Aware Self-Supervised Hypergraph Learning.
Ming Li, Zhanle Zhu, Xinyi Li, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026HyperSHAP: Shapley Values and Interactions for Explaining Hyperparameter Optimization.
Marcel Wever, Maximilian Muschalik, Fabian Fumagalli, Marius Lindauer
2026HyperSign: Hierarchical Hypergraph-based Co-occurrence Modeling for Sign Language Recognition and Translation.
Qianren Guo, Yuehang Wang, Yongji Zhang, Qi Chu, Sen Liu, Yu Jiang
2026HyperSign: Saliency-Aware Spatial Graphs and Temporal Hypergraphs for Continuous Sign Language Recognition.
Weiyi Ye, Xu-Hua Yang, Dong Wei, Gang-Feng Ma, Yujiao Huang, Xiao-Xin Li
2026Hyperbolic Continuous Structural Entropy for Hierarchical Clustering.
Guangjie Zeng, Hao Peng, Angsheng Li, Li Sun, Chunyang Liu, Shengze Li, Yicheng Pan, Philip S. Yu
2026Hyperbolic Hierarchical Alignment Reasoning Network for Text-3D Retrieval.
Wenrui Li, Yidan Lu, Yeyu Chai, Rui Zhao, Hengyu Man, Xiaopeng Fan
2026Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation.
Yuwen Liu, Lianyong Qi, Xingyuan Mao, Weiming Liu, Xuhui Fan, Qiang Ni, Xuyun Zhang, Yang Zhang, Yuan Tian, Amin Beheshti
2026Hypergraph-Based Multi-View Multi-Label Classification via Adaptive High-Order Semantic Fusion.
Yi Shan, Liyang Gao, Yuena Lin, Zhen Yang, Gengyu Lyu, Honggui Han
2026Hypertension and Total-Order Forward Decomposition Optimizations (Abstract Reprint).
Maurício Cecílio Magnaguagno, Felipe Meneguzzi, Lavindra de Silva
2026Hypothesis-Driven Reasoning for Large Language Models.
Aakash Kumar Agarwal, Moyuru Yamada
2026HypoxSpike: Ternary Spiking Neural Network for Opioid Overdose Detection.
Anush Niranjan Lingamoorthy, Abhishek Kumar Mishra, Olumuyiwa Oni, Jacob S. Brenner, Nagarajan Kandasamy, Amanda Watson
2026I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders.
Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2026I-CAM-UV: Integrating Causal Graphs over Non-Identical Variable Sets Using Causal Additive Models with Unobserved Variables.
Hirofumi Suzuki, Kentaro Kanamori, Takuya Takagi, Thong Pham, Takashi Nicholas Maeda, Shohei Shimizu
2026I-INR: Iterative Implicit Neural Representations.
Ali Haider, Muhammad Salman Ali, Maryam Qamar, Tahir Khalil, Soo Ye Kim, Jihyong Oh, Enzo Tartaglione, Sung-Ho Bae
2026I2CD: An Invertible Causal Framework for Compositional Zero-Shot Learning via Disentangle-Compose-Disentangle.
Zhaoquan Yuan, Zining Wang, Yuankang Pan, Ao Luo, Wei Li, Xiao Wu, Changsheng Xu
2026I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks.
Ruichen Ma, Liwei Meng, Guanchao Qiao, Ning Ning, Yang Liu, Shaogang Hu
2026IAD-R1: Reinforcing Consistent Reasoning in Industrial Anomaly Detection.
Yanhui Li, Yunkang Cao, Chengliang Liu, Yuan Xiong, Xinghui Dong, Chao Huang
2026ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models.
Zhongyuan Wu, Jingyuan Wang, Zexuan Cheng, Yilong Zhou, Weizhi Wang, Juhua Pu, Chao Li, Changqing Ma
2026ICL-Router: In-Context Learned Model Representations for LLM Routing.
Chenxu Wang, Hao Li, Yiqun Zhang, Linyao Chen, Jianhao Chen, Ping Jian, Qiaosheng Zhang, Shuyue Hu
2026ICLR: Inter-Chrominance and Luminance Interaction for Natural Color Restoration in Low-Light Image Enhancement.
Xin Xu, Hao Liu, Wei Liu, Wei Wang, Jiayi Wu, Kui Jiang
2026ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation.
Yihua Shao, Xiaofeng Lin, Xinwei Long, Siyu Chen, Minxi Yan, Yang Liu, Ziyang Yan, Ao Ma, Hao Tang, Jingcai Guo
2026ID-Splat: Propagating Object Identities for Segmenting 3D Aerial-view Scenes.
Yijing Wang, Xu Tang, Xiangrong Zhang, Jingjing Ma
2026IDK-S: Incremental Distributional Kernel for Streaming Anomaly Detection.
Yang Xu, Yixiao Ma, Kaifeng Zhang, Zuliang Yang, Kai Ming Ting
2026IE-SRGS: An Internal-External Knowledge Fusion Framework for High-Fidelity 3D Gaussian Splatting Super-Resolution.
Xiang Feng, Tieshi Zhong, Shuo Chang, Weiliu Wang, Chengkai Wang, Yifei Chen, Tongyu Hu, Yuhe Wang, Zhenzhong Kuang, Xuefei Yin, Yanming Zhu
2026IGFuse: Interactive 3D Gaussian Scene Reconstruction via Multi-Scans Fusion.
Wenhao Hu, Zesheng Li, Haonan Zhou, Liu Liu, Xuexiang Wen, Zhizhong Su, Xi Li, Gaoang Wang
2026IGIANet: Illumination Guided Implicit Alignment Network for Infrared-Visible UAV Detection.
Xiangqi Chen, Dawei Zhang, Li Zhao, Chengzhuan Yang, Zhongyu Chen, Jungang Lou, Zhonglong Zheng, Sang-Woon Jeon, Hua Wang
2026IGT4ETH: An Isotropic Pre-trained Graph Transformer for Ethereum Account Classification.
Ao liu, Yanmei Zhang, Youwei Wang, Qiang Duan
2026IMAGGarment+: Efficient Attribute-Wise Diffusion for Garment Generation.
Jian Yu, Fei Shen, Cong Wang, Yanpeng Sun, Hao Tang, Qin Guo, Xiaoyu Du
2026IMPACT: Integrated Multimodal Pipeline for Rapid Accident Causality Tracking (Student Abstract).
Vashu Chauhan, Avinash Anand, Manisha Luthra, Uélison Jean Lopes dos Santos, Carsten Binnig, Rajiv Ratn Shah
2026INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval.
Zhiwei Chen, Yupeng Hu, Zhiheng Fu, Zixu Li, Jiale Huang, Qinlei Huang, Yinwei Wei
2026IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection.
Jiajie Zhu, Xia Du, Xiaoyuan Liu, Ji-Zhe Zhou, Qizhen Xu, Zheng Lin, Chi-Man Pun
2026IPDA: Intelligent Perception Delay Alignment Method Based on Spatio-Temporal Co-Sensing Calibration.
Jianhang Liu, Dianzheng Zhang, Hongxin Pan, Guangqian Jiang, Runda Fan
2026IPFormer: Instance Prompt-guided Transformer for Multi-modal Multi-shot Video Understanding.
Yujia Liang, Jile Jiao, Xuetao Feng, Xinchen Liu, Kun Liu, Yuan Wang, Zixuan Ye, Hao Lu, Zhicheng Wang
2026IQGS: Instance Query-based Gaussian Segmentation.
Yichao Gao, Xinyuan Liu, Yike Ma, Yucheng Zhang, Feng Dai
2026IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization.
Yuzhuo Bai, Shitong Duan, Muhua Huang, Jing Yao, Zhenghao Liu, Peng Zhang, Tun Lu, Xiaoyuan Yi, Maosong Sun, Xing Xie
2026IS-Bench: Evaluating Interactive Safety of VLM-Driven Embodied Agents in Daily Household Tasks.
Xiaoya Lu, Zeren Chen, Xuhao Hu, Yijin Zhou, Weichen Zhang, Dongrui Liu, Lu Sheng, Jing Shao
2026ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes.
Wang-Tao Zhou, Zhao Kang, Ke Yan, Ling Tian
2026IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction.
Weiyi Zhong, Weiming Liu, Lianyong Qi, Xiaoran Zhao, Xiaolong Xu, Haolong Xiang, Yang Cao, Shichao Pei, Qiang Ni
2026IdealTSF: Can Non-Ideal Data Contribute to Enhancing the Performance of Time Series Forecasting Models?
Hua Wang, Jinghao Lu, Fan Zhang
2026Identifying Features Associated with Bias Against 93 Stigmatized Groups in Language Models and Guardrail Model Safety Mitigation.
Anna-Maria Gueorguieva, Aylin Caliskan
2026Identifying Imperfect Clones in Elections.
Piotr Faliszewski, Lukasz Janeczko, Grzegorz Lisowski, Kristýna Pekárková, Ildikó Schlotter
2026Identifying and Analyzing Performance-Critical Tokens in Large Language Models.
Yu Bai, Heyan Huang, Cesare Spinoso Di Piano, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie Chi Kit Cheung
2026Identity-Aware Vision-Language Model for Explainable Face Forgery Detection.
Junhao Xu, Jingjing Chen, Yang Jiao, Jiacheng Zhang, Zhiyu Tan, Hao Li, Yu-Gang Jiang
2026IdentityStory: Taming Your Identity-Preserving Generator for Human-Centric Story Generation.
Donghao Zhou, Jingyu Lin, Guibao Shen, Quande Liu, Jialin Gao, Lihao Liu, Lan Du, Cunjian Chen, Chi-Wing Fu, Xiaowei Hu, Pheng-Ann Heng
2026Image Content Matters: An Image Content Aware State Space Model for Accelerated MRI Reconstruction.
Yucong Meng, Zhiwei Yang, Kexue Fu, Zhijian Song, Yonghong Shi
2026Image Restoration via Primal Dual Hybrid Gradient and Flow Generative Model.
Ji Li, Chao Wang
2026Image-Text Knowledge Modeling for Unsupervised Multi-Scenario Person Re-Identification.
Zhiqi Pang, Lingling Zhao, Yang Liu, Chunyu Wang, Gaurav Sharma
2026ImageBindDC: Compressing Multi-modal Data with ImageBind-based Condensation.
Yue Min, Shaobo Wang, Jiaze Li, Tianle Niu, Junxin Fan, Yongliang Miao, Lijin Yang, Linfeng Zhang
2026ImageSet2Text: Describing Sets of Images Through Text.
Piera Riccio, Francesco Galati, Kajetan Schweighofer, Noa Garcia, Nuria Oliver
2026ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints.
Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang
2026Imagine with Layout and Sketch: Enhancing Vision-Language Retrieval with Dual-Stream Multi-Modal Query Refinement.
Guanghao Meng, Jinpeng Wang, Qian-Wei Wang, Xudong Ren, Dan Zhao
2026Impact of a Data-driven Teaching Approach on 9th Graders Conceptual Understanding of Machine Learning.
Erik Marx, Thiemo Leonhardt, Nadine Bergner
2026Implications for AI Research: Applying Lessons from the Expert Systems Boom and Bust to the Current Large-Language Model Boom.
Ted E. Senator
2026Implicit Neural Representation with Multi-Scale Sine Activation.
Jufeng Han, Shu Wei, Min Wu, Lina Yu, Weijun Li, Linjun Sun, Hong Qin, Yan Pang
2026Importance-Aware Data Selection for Efficient LLM Instruction Tuning.
Tingyu Jiang, Shen Li, Yiyao Song, Lan Zhang, Hualei Zhu, Yuan Zhao, Xiaohang Xu, Kenjiro Taura, Hao Henry Wang
2026Imprint of the Forgotten: Stealthy Membership Inference in Unlearned Graph Neural Networks.
He Zhang, Bang Wu, Xiaoning Liu, Karin Verspoor, Xun Yi
2026Improve Molecular Conformation Modeling with Geometric Deep Learning.
Fanmeng Wang
2026Improved Algorithms for Trip-Vehicle Assignment in Ride-Sharing.
Jingyang Zhao, Mingyu Xiao, Yonghang Su
2026Improved Differentially Private Algorithms for Rank Aggregation.
Quentin Hillebrand, Pasin Manurangsi, Vorapong Suppakitpaisarn, Phanu Vajanopath
2026Improved Fully Dynamic Submodular Maximization Under Matroid Constraints.
Yiwei Gao, Jialin Zhang, Zhijie Zhang
2026Improved Masked Image Generation with Knowledge-Augmented Token Representations.
Guotao Liang, Baoquan Zhang, Zhiyuan Wen, Zihao Han, Yunming Ye
2026Improved Runtime Guarantees for the SPEA2 Multi-Objective Optimizer.
Benjamin Doerr, Martin S. Krejca, Milan Stankovic
2026Improved Streaming Algorithm for Fair k-Center Clustering.
Longkun Guo, Zeyu Lin, Chaoqi Jia, Chao Chen
2026Improving Batch Normalization with Test-Time Adaptation for Robust Object Detection in Self-Driving.
Dacheng Liao, Mengshi Qi, Liang Liu, Huadong Ma
2026Improving CAPTCHA Robustness via Controlled Image Corruptions (Student Abstract).
Suchetan G. Uppur, Ashish Kumar, Akshay Agarwal
2026Improving Day-Ahead Grid Carbon Intensity Forecasting by Joint Modeling of Local-Temporal and Cross-Variable Dependencies Across Different Frequencies.
Bowen Zhang, Hongda Tian, Adam Berry, A. Craig Roussac
2026Improving Deepfake Detection with Reinforcement Learning-Based Adaptive Data Augmentation.
Yuxuan Chou, Tao Yu, Wen Huang, Yuheng Zhang, Tao Dai, Shu-Tao Xia
2026Improving Exact Algorithm for Pseudo Boolean Optimization with Two New Phase Selection Heuristics.
Yujiao Zhao, Yizhan Xiang, Jiangnan Li, Yiyuan Wang, Minghao Yin
2026Improving Generalization in LLM Structured Pruning via Function-Aware Neuron Grouping.
Tao Yu, Yongqi An, Kuan Zhu, Guibo Zhu, Ming Tang, Jinqiao Wang
2026Improving Generalization in Offline Meta-Reinforcement Learning via Cross-task Contexts.
Hongcai He, Zetao Zheng, Anjie Zhu, Deqiang Ouyang, Jie Shao
2026Improving Implicit Discourse Relation Recognition with Natural Language Explanations from LLMs.
Heng Wang, Changxing Wu
2026Improving Large Molecular Language Model via Relation-aware Multimodal Collaboration.
Jinyoung Park, Minseong Bae, Jeehye Na, Hyunwoo J. Kim
2026Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization.
Xueyu Chen, Kaitao Song, Zifan Song, Dongsheng Li, Cairong Zhao
2026Improving Low-Resource Translation with Dictionary-Guided Fine-Tuning and RL: A Spanish-to-Wayuunaiki Study.
Manuel Mosquera, Melissa Robles, Johan R. Portela, Rubén Manrique
2026Improving Region Representation Learning from Urban Imagery with Noisy Long-Caption Supervision.
Yimei Zhang, Guojiang Shen, Kaili Ning, Tongwei Ren, Xuebo Qiu, Mengmeng Wang, Xiangjie Kong
2026Improving Sparse IMU-based Motion Capture with Motion Label Smoothing.
Zhaorui Meng, Lu Yin, Yangqing Hou, Anjun Chen, Shihui Guo, Yipeng Qin
2026Improving Stochastic Action-Constrained Reinforcement Learning via Truncated Distributions.
Roland Stolz, Michael Eichelbeck, Matthias Althoff
2026Improving Sustainability of Adversarial Examples in Class-Incremental Learning.
Taifeng Liu, Xinjing Liu, Liangqiu Dong, Yang Liu, Yilong Yang, Zhuo Ma
2026Improving Target Presence and Plurality Recognition for Generalized Referring Image Segmentation.
Namyup Kim, Jinsung Lee, Suha Kwak
2026Improving Value-based Process Verifier via Low-Cost Variance Reduction.
Zetian Sun, Dongfang Li, Baotian Hu, Min Zhang
2026Improving the Accuracy of Dense Retrieval on the Quantized Indexes via Gradient Optimization of the Target Embeddings.
Cong Tan, Yongqi Shao, Hong Huo, Tao Fang
2026Improving the Convergence Rate of Ray Search Optimization for Query-Efficient Hard-Label Attacks.
Xinjie Xu, Shuyu Cheng, Dongwei Xu, Qi Xuan, Chen Ma
2026Impute Missing Entries with Uncertainty.
Jaesung Lim, Seunghwan An, Jong-June Jeon
2026In-Situ Eval: A Modular Framework for Custom and Real-Time RAG Benchmarking.
Ritvik Garimella, Kaushik Roy, Chathurangi Shyalika, Amit P. Sheth
2026In-Token Rationality Optimization: Towards Accurate and Concise LLM Reasoning via Self-Feedback.
Mingye Zhu, Yi Liu, Zheren Fu, Quan Wang, Yongdong Zhang
2026InEx: Hallucination Mitigation via Introspection and Cross-Modal Multi-Agent Collaboration.
Zhongyu Yang, Yingfang Yuan, Xuanming Jiang, Baoyi An, Wei Pang
2026InTimeAD: Interactive Time Series Anomaly Detection.
Louis Carpentier, Wannes Meert, Mathias Verbeke
2026Inapproximability of STRIPS Planning.
Xing Tan, Alban Grastien
2026Incoherence as Oracle-less Measure of Error in LLM-Based Code Generation.
Thomas Jean-Michel Valentin, Ardi Madadi, Gaetano Sapia, Marcel Böhme
2026Incomplete Multi-View Unsupervised Federated Feature Selection via Cooperative Particle Swarm Optimization and Tensor-Aligned Learning.
Zhiwei Ye, Songsong Zhang, Wen Zhou, Libing Wu, Jun Shen, Ting Cai, Mingwei Wang, Jixin Zhang
2026Incomplete Multi-view Diabetic Retinopathy Grading via Self-Supervised Inter- and Intra-View Restoration.
Zhihao Wu, Yuxin Lin, Jie Wen, Wuzhen Shi, Linlin Shen
2026Incorporating Self-Rewriting into Large Language Model Reasoning Reinforcement.
Jiashu Yao, Heyan Huang, Shuang Zeng, Chuwei Luo, Wangjie You, Jie Tang, Qingsong Liu, Yuhang Guo, Yangyang Kang
2026Incorporating Token Importance in Multi-Vector Retrieval.
Archish S, Ankit Garg, Kirankumar Shiragur, Neeraj Kayal
2026Incremental Data-Driven Policy Synthesis via Game Abstractions.
Irmak Saglam, Mahdi Nazeri, Alessandro Abate, Sadegh Soudjani, Anne-Kathrin Schmuck
2026Incremental Maintenance of DatalogMTL Materialisations.
Kaiyue Zhao, Dingqi Chen, Shaoyu Wang, Pan Hu
2026IndexTTS2: A Breakthrough in Emotionally Expressive and Duration-Controlled Auto-Regressive Zero-Shot Text-to-Speech.
Siyi Zhou, Yiquan Zhou, Yi He, Xun Zhou, Jinchao Wang, Wei Deng, Jingchen Shu
2026Indoor Multi-View Radar Object Detection via 3D Bounding Box Diffusion.
Ryoma Yataka, Pu Perry Wang, Petros Boufounos, Ryuhei Takahashi
2026IndoorUAV: Benchmarking Vision-Language UAV Navigation in Continuous Indoor Environments.
Xu Liu, Yu Liu, Hanshuo Qiu, Qirong Yang, Zhouhui Lian
2026Induce, Align, Predict: Zero-Shot Stance Detection via Cognitive Inductive Reasoning.
Bowen Zhang, Jun Ma, Fuqiang Niu, Li Dong, Jinzhou Cao, Genan Dai
2026Inductive Generative Recommendation via Retrieval-based Speculation.
Yijie Ding, Jiacheng Li, Julian J. McAuley, Yupeng Hou
2026Inequality in the Age of Pseudonymity.
Aviv Yaish, Nir Chemaya, Dahlia Malkhi, Lin William Cong
2026Inference Offloading for Cost-Sensitive Binary Classification at the Edge.
Vishnu Narayanan Moothedath, Umang Agarwal, Umeshraja N, James Gross, Jaya Prakash Champati, Sharayu Moharir
2026Inference Scaling Law for Retrieval Augmented Generation.
Shu Zhou, Yuxuan Ao, Yunyang Xuan, Xin Wang, Tao Fan, Hao Wang
2026Inference-Aware Prompt Optimization for Aligning Black-Box Large Language Models.
Saaduddin Mahmud, Mason Nakamura, Kyle Hollins Wray, Shlomo Zilberstein
2026Inference-time Scaling for Diffusion-based Audio Super-resolution.
Yizhu Jin, Zhen Ye, Zeyue Tian, Haohe Liu, Qiuqiang Kong, Yike Guo, Wei Xue
2026Inferring Heterogeneous Private Valuations from Offline Market Data via Entropic Risk-Sensitive Utility Maximization.
Xingyu Qian, Haoran Yu
2026Inferring Implicit Goals Across Differing Task Models.
Silvia Tulli, Stylianos Loukas Vasileiou, Mohamed Chetouani, Sarath Sreedharan
2026InfiGUI-G1: Advancing GUI Grounding with Adaptive Exploration Policy Optimization.
Yuhang Liu, Zeyu Liu, Shuanghe Zhu, Pengxiang Li, Congkai Xie, Jiasheng Wang, Xueyu Hu, Xiaotian Han, Jianbo Yuan, Xinyao Wang, Shengyu Zhang, Hongxia Yang, Fei Wu
2026Infinite-Story: A Training-Free Consistent Text-to-Image Generation.
Jihun Park, Kyoungmin Lee, Jongmin Gim, Hyeonseo Jo, Minseok Oh, Wonhyeok Choi, Kyumin Hwang, Jaeyeul Kim, Minwoo Choi, Sunghoon Im
2026InfoCLIP: Bridging Vision-Language Pretraining and Open-Vocabulary Semantic Segmentation via Information-Theoretic Alignment Transfer.
Muyao Yuan, Yuanhong Zhang, Weizhan Zhang, Lan Ma, Yuan Gao, Jiangyong Ying, Yudeng Xin
2026InfoCom: Kilobyte-Scale Communication-Efficient Collaborative Perception with Information Bottleneck.
Quanmin Wei, Penglin Dai, Wei Li, Bingyi Liu, Xiao Wu
2026InfoDecom: Decomposing Information for Defending Against Privacy Leakage in Split Inference.
Ruijun Deng, Zhihui Lu, Qiang Duan
2026InfoQ: Mixed-Precision Quantization via Global Information Flow.
Mehmet Emre Akbulut, Hazem Hesham Yousef Shalby, Fabrizio Pittorino, Manuel Roveri
2026Information Elicitation Mechanisms for Bayesian Auctions (Abstract Reprint).
Jing Chen, Bo Li, Yingkai Li
2026Information Theoretic Optimal Surveillance for Epidemic Prevalence in Networks.
Ritwick Mishra, Abhijin Adiga, Madhav V. Marathe, S. S. Ravi, Ravi Tandon, Anil Vullikanti
2026Information-Theoretic Minimal Sufficient Representation for Multi-Domain Knowledge Graph Completion.
Jiawei Sheng, Taoyu Su, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu
2026Informative Subgraph Extraction with Deep Reinforcement Learning for Drug-Drug Interaction Prediction.
Jiancong Xie, Wentao Wei, Chi Zhang, Jiahua Rao, Yuedong Yang
2026Infrared-Privileged UAV Detection via Cross-Modal Vector-Quantization.
Zhibo Lou, Ruijie Zhang, Zeyu Luo, Qianxi Cao, Feng Qian, Junjie Chen, Yuming Fang
2026InfrastructureSentinel: Policy Enforced Guardrails for Secure MCP-driven Infrastructure Agents.
Tarun Kumar, Aalap Tripathy, Gayathri Saranathan, Martin Foltin, Suparna Bhattacharya, Scott Hinchley, Donald M. Bahls, David Brookshire, Larry Kaplan, Robert W. Wisniewski
2026Injection Without Distortion: Geometrically Constrained Knowledge Enhancement for Vision-Language Models.
Zhongze Wu, Xiu Su, Feng Yang, Shan You, Jun Long, Yueyi Luo
2026Injection, Attack and Erasure: Revocable Backdoor Attacks via Machine Unlearning.
Baogang Song, Dongdong Zhao, Jianwen Xiang, Qiben Xu, Zizhuo Yu
2026Inpaint-Anywhere: Zero-Shot Multi-Identity Inpainting with Efficient Diffusion Transformer.
Junsheng Luan, Lei Zhao, Wei Xing
2026Insert Anything: Image Insertion via In-Context Editing in DiT.
Wensong Song, Hong Jiang, Zongxing Yang, Zheqiao Cheng, Ruijie Quan, Yi Yang
2026Instance Dependent Testing of Samplers Using Interval Conditioning.
Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen
2026Instance Generation for Meta-Black-Box Optimization Through Latent Space Reverse Engineering.
Chen Wang, Yue-Jiao Gong, Zhiguang Cao, Zeyuan Ma
2026Instance-Guided Scene Adaptation for Unsupervised Person Search.
Linfeng Qi, Huibing Wang, Jinjia Peng, Xianping Fu, Jiqing Zhang
2026InstructDubber: Instruction-based Alignment for Zero-shot Movie Dubbing.
Zhedong Zhang, Liang Li, Gaoxiang Cong, Chunshan Liu, Yuhan Gao, Xiaowan Wang, Tao Gu, Yuankai Qi
2026Instruction-Guided Cross-Modal Clustering for Training-Free Visual Token Pruning in Vision-Language Models.
Yunqian Yu, Biao Chen, Yunya Zhang, Tonglan Xie, Mengmeng Jing, Lin Zuo
2026InteChar: A Unified Oracle Bone Character List for Ancient Chinese Language Modeling.
Xiaolei Diao, Zhihan Zhou, Lida Shi, Ting Wang, Ruihua Qi, Daqian Shi, Hao Xu
2026Integral-based Knockoffs Inference for Partially Linear Models.
Hao Wang, Biqin Song, Rushi Lan, Hong Chen
2026Integrating AI Competencies into Teacher Education Programs.
Amy Eguchi, Stacy George, Lucretia Fraga, Nancye Blair Black, Alecia Blackwood, J. Camille Dempsey, G. Sue Kasun
2026Integrating Diverse Assignment Strategies into DETRs.
Yiwei Zhang, Jin Gao, Hanshi Wang, Fudong Ge, Guan Luo, Weiming Hu, Zhipeng Zhang
2026Integrating Fourier Neural Operators into High-Fidelity Helicopter Flight Simulation for Real-Time Urban Wind Prediction.
Maximilian Dauner, Michael Kurz, Gudrun Socher, Alexander Knoll
2026Integrating Reweighted Least Squares with Plug-and-Play Diffusion Priors for Noisy Image Restoration.
Ji Li, Chao Wang
2026IntelliProof: An Argumentation Network-based Conversational Helper for Organized Reflection.
Kaveh Eskandari Miandoab, Katharine Kowalyshyn, Kabir Pamnani, Anesu Gavhera, Vasanth Sarathy, Matthias Scheutz
2026IntentMotion: Learning Intent-Aware Human Motion from Language in 3D Scenes.
Wenfeng Song, Shi Zheng, Xinyu Zhang, Xingliang Jin, Aimin Hao, Fei Hou, Xia Hou, Shuai Li
2026Intention Chain-of-Thought Prompting with Dynamic Routing for Code Generation.
Shen Li, Li Huang, Shaoxiong Zhan, Weifeng Sun, Tao Yin, Zhongxin Liu, Meng Yan
2026Intention-Aware Diffusion Model for Pedestrian Trajectory Prediction.
Yu Liu, Zhijie Liu, Xiao Ren, Youfu Li, He Kong
2026Intention-Guided Cognitive Reasoning for Egocentric Long-Term Action Anticipation.
Qiaohui Chu, Haoyu Zhang, Meng Liu, Yisen Feng, Haoxiang Shi, Liqiang Nie
2026Inter-Client Dependency Recovery with Hidden Global Components for Federated Traffic Prediction.
Hang Zhou, Wentao Yu, Yang Wei, Guangyu Li, Sha Xu, Chen Gong
2026InterCoser: Interactive 3D Character Creation with Disentangled Fine-Grained Features.
Yi Wang, Jian Ma, Zhuo Su, Guidong Wang, Jingyu Yang, Yu-Kun Lai, Kun Li
2026InterMoE: Individual-Specific 3D Human Interaction Generation via Dynamic Temporal-Selective MoE.
Lipeng Wang, Hongxing Fan, Haohua Chen, Zehuan Huang, Lu Sheng
2026Interactive Evaluation of Large Language Models for Multi-Requirement Software Engineering Tasks.
Dimitrios Rontogiannis, Maxime Peyrard, Nicolas Mario Baldwin, Martin Josifoski, Robert West, Dimitrios Gunopulos
2026Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation.
Fei Li, Qingyun Gao, Enneng Yang, Jianzhe Zhao, Guibing Guo
2026Interest-driven Deep Multi-modal Clustering.
Guoliang Zou, Tongji Chen, Sijia Li, Jin Qin, Yangdong Ye, Shizhe Hu
2026Intermediate N-Gramming: Deterministic and Fast N-Grams for Large N and Large Datasets.
Ryan R. Curtin, Fred Lu, Edward Raff, Priyanka Ranade
2026Interpolated Stochastic Interventions Based on Propensity Scores, Target Policies and Treatment-Specific Costs.
Johan de Aguas
2026Interpretable Adversarial Reinforcement Learning.
Oliver Chang
2026Interpretable Machine Learning for In-Home Mild Cognitive Impairment Detection.
Budhitama Subagdja, D. Shanthoshigaa, Ah-Hwee Tan, Iris Rawtaer
2026Interpretable Reward Model via Sparse Autoencoder.
Shuyi Zhang, Wei Shi, Sihang Li, Jiayi Liao, Tao Liang, Hengxing Cai, Xiang Wang
2026Interpretable and Robust Behavior Abstraction via Environment-Disentangled Heterogeneous Graph.
Zhibin Ni, Hai Wan, Xibin Zhao
2026Interpreting Capsule Networks for Image Classification by Routing Path Visualization (Abstract Reprint).
Amanjot Bhullar, Michael Czomko, R. Ayesha Ali, Douglas L. Welch
2026Interpreting Fedspeak with Confidence: A LLM-Based Uncertainty-Aware Framework Guided by Monetary Policy Transmission Paths.
Rui Yao, Qi Chai, Jinhai Yao, Siyuan Li, Junhao Chen, Qi Zhang, Hao Wang
2026Intervention-Aware Time Series Modeling: Capturing and Evaluating Feature Dependencies.
Ibrahim Delibasoglu, Sanjay Chakraborty, Fredrik Heintz, Mattias Tiger
2026Intra-Class Unbiased Prototype Aggregation and Classifier Collaboration for Personalized Federated Learning.
Hao Zheng, Shiyu Song, Zhigang Hu, Meiguang Zheng, Liu Yang, Aikun Xu, Rongchang Zhao, Ruizhi Pu, Ruiyi Fang, Boyu Wang
2026Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection.
Kaixiang Chen, Pengfei Fang, Hui Xue
2026Intrinsic Barriers and Practical Pathways for Human-AI Alignment: An Agreement-Based Complexity Analysis.
Aran Nayebi
2026Introducing Decomposed Causality with Spatiotemporal Object-Centric Representation for Video Classification.
Yachong Zhang, Lei Meng, Shuo Xu, Zhuang Qi, Wei Wu, Lei Wu, Xiangxu Meng
2026Introducing Visual Scenes and Reasoning: A More Realistic Benchmark for Spoken Language Understanding.
Di Wu, Liting Jiang, Ruiyu Fang, Bianjing, Hongyan Xie, Haoxiang Su, Hao Huang, Zhongjiang He, Shuangyong Song, Xuelong Li
2026Intuitive Thinking: Expanding Large Language Models' Thinking for Rapid Decision-Making on Candidate Corrections in Chinese Grammar Error Correction.
Lintao Long, Ruizhang Huang, Ruina Bai, Yongbin Qin, Qihang Fu
2026Invariant Conditional Molecular Generation Under Distribution Shift.
Chunyu Hu, Tianyin Liao, Yicheng Sui, Ran Zhang, Xiao Wang, Ziwei Zhang
2026Invariant Feature Learning for Counterfactual Watch-time Prediction in Video Recommendation.
Chenghou Jin, Yixin Ren, Hongxu Ma, Yewei Xia, Yi Guan, Hao Zhang, Jiandong Ding, Jihong Guan, Shuigeng Zhou
2026Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation.
Xiaoxuan Shen, Zhihai Hu, Fuqing Li, Shengyingjie Liu, Jianwen Sun
2026Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models.
Shupeng Qiu, Chuan-Xian Ren
2026Investigating Data Pruning for Pretraining Biological Foundation Models at Scale.
Yifan Wu, Jiyue Jiang, Xichen Ye, Yiqi Wang, Chang Zhou, Yitao Xu, Jiayang Chen, He Hu, Weizhong Zhang, Cheng Jin, Jiao Yuan, Yu Li
2026Investigating Prosocial Behavior Theory in LLM Agents Under Policy-Induced Inequities.
Yujia Zhou, Hexi Wang, Qingyao Ai, Zhen Wu, Yiqun Liu
2026Investigating Social Bias Propagation in Federated Fine-tuning of Large Language Models.
Jiaxu Zhao, Meng Fang, Mingze Zhong, Shunfeng Zheng, Ling Chen, Mykola Pechenizkiy
2026Investigating Vaccine Buyer's Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation.
Miles Stanley, Soumyajit Datta, Ashutosh Kumar, Ashiqur R. KhudaBukhsh
2026Investigating the Impact of Direct Punishment on the Emergence of Cooperation in Mulit-agent Reinforcement Learning Systems (Abstract Reprint).
Nayana Dasgupta, Mirco Musolesi
2026Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving.
Jian Wang, Lijun He, Yixing Yong, Haixia Bi, Fan Li
2026Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs.
Zhejing Hu, Yan Liu, Zhi Zhang, Aiwei Zhang, Sheng-hua Zhong, Bruce X. B. Yu, Gong Chen
2026Is Word Sense Disambiguation Dead in the LLM Era?
Roberto Navigli
2026Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
Ming Liu, Hao Chen, Jindong Wang, Liwen Wang, Jingchen Sun, Wensheng Zhang
2026Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning.
Yi Huang, Qingyun Sun, Yisen Gao, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026Iterative Multi-Granular RAG with Contextual Hierarchical Graph.
Yanli Hu, Teng Liu, Zhuangyi Zhou, Weixin Zeng, Zhen Tan, Xiang Zhao
2026JELV: A Judge of Edit-Level Validity for Evaluation and Automated Reference Expansion in Grammatical Error Correction.
Yuhao Zhan, Yuqing Zhang, Jing Yuan, Qixiang Ma, Zhiqi Yang, Yu Gu, Zemin Liu, Fei Wu
2026JRDB-Reasoning: A Difficulty-Graded Benchmark for Visual Reasoning in Robotics.
Simindokht Jahangard, Mehrzad Mohammadi, Yi Shen, Zhixi Cai, Hamid Rezatofighi
2026JoDiffusion: Jointly Diffusing Image with Pixel-Level Annotations for Semantic Segmentation Promotion.
Haoyu Wang, Lei Zhang, Wenrui Liu, Dengyang Jiang, Wei Wei, Chen Ding
2026Joint Evaluation of Answer and Reasoning Consistency for Hallucination Detection in Large Reasoning Models.
Changyue Wang, Weihang Su, Qingyao Ai, Yiqun Liu
2026Joint Implicit and Explicit Language Learning for Pedestrian Attribute Recognition.
Yukang Zhang, Lei Tan, Yang Lu, Yan Yan, Hanzi Wang
2026Joint-GCG: Unified Gradient-Based Poisoning Attacks on Retrieval-Augmented Generation Systems.
Haowei Wang, Rupeng Zhang, Junjie Wang, Mingyang Li, Yuekai Huang, Dandan Wang, Qing Wang
2026Judge Q: Trainable Queries for Optimized Information Retention in KV Cache Eviction.
Yijun Liu, Yixuan Wang, Yuzhuang Xu, Shiyu Ji, Yang Xu, Qingfu Zhu, Wanxiang Che
2026JudgeBoard: Benchmarking and Enhancing Small Language Models for Reasoning Evaluation.
Zhenyu Bi, Gaurav Srivastava, Yang Li, Swastik Roy, Meng Lu, Morteza Ziyadi, Xuan Wang
2026Judging by the Rules: Compliance-Aligned Framework for Modern Slavery Statement Monitoring.
Wenhao Xu, Akshatha Arodi, Jian-Yun Nie, Arsène Fansi Tchango
2026Jump-teaching: Combating Sample Selection Bias via Temporal Disagreement.
Kangye Ji, Fei Cheng, Zeqing Wang, Qichang Zhang, Bohu Huang
2026Jupiter: Enhancing LLM Data Analysis Capabilities via Notebook and Inference-Time Value-Guided Search.
Shuocheng Li, Yihao Liu, Silin Du, Wenxuan Zeng, Zhe Xu, Mengyu Zhou, Yeye He, Haoyu Dong, Shi Han, Dongmei Zhang
2026Just Few States Are Enough: Randomized Sparse Feedback for Stability of Dynamical Systems.
Zaid Hadach, Hajar El Hammouti, El Houcine Bergou, Adnane Saoud
2026K-12EduBench: A Benchmark for Evaluating Large Language Models' Knowledge, Problem-Solving, and Educational Goal Cognition in K-12 Education.
Yuqing Ye, Xuan Zhou, Zhifu Chen, Dandan Li, Hengnian Gu, Jin Peng Zhou, Dongdai Zhou
2026K-ProtoDiff: Key Prototypes-Guided Diffusion for Time Series Generation.
Yuhang Duan, Lin Lin, Xiaoshuai Wu
2026K-STaR: Knowledge-Aware Self-Taught Reasoner.
Guozheng Li, Xinyu Zhang
2026KALL-E: Autoregressive Speech Synthesis with Next-Distribution Prediction.
Kangxiang Xia, Xinfa Zhu, Jixun Yao, Wenjie Tian, Wenhao Li, Lei Xie
2026KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits.
Peng Xu, Yapeng Li, Tinghuan Chen, Tsung-Yi Ho, Bei Yu
2026KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering.
Liang Zhao, Tianqi Yue, Shubin Ma, Ziyue Wang, Zhiyuan Liu, Bo Xu
2026KOALA: Knowledge of Optimization and Learning Algorithms for Healthcare.
Kai Wang
2026KPDM: Key Phrase Dynamic Masking for Robust Text-to-Image Person Retrieval.
Shaofeng You, Tianle Miao, Qihang Chen, Xin Li, Zhuo Cheng, Dapeng Luo
2026KPLM-STA: Physically-Accurate Shadow Synthesis for Human Relighting via Keypoint-Based Light Modeling.
Xinhui Yin, Qifei Li, Yilin Guo, Hongxia Xie, Xiaoli Zhang
2026KSS-MoE: Knowledge Space Synergy Framework in Mixture of Experts for Continual Visual Instruction Tuning.
Lingyun Song, Ziyao Chen, Kang Pan, Xiaolin Han, Xinbiao Gan, Yudai Pan, Xiaofan Sun, Xiaoqi Wang, Xuequn Shang
2026KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education.
Woojin Kim, Changkwon Lee, Hyeoncheol Kim
2026KTV: Keyframes and Key Tokens Selection for Efficient Training-Free Video LLMs.
Baiyang Song, Jun Peng, Yuxin Zhang, Guangyao Chen, Feidiao Yang, Jianyuan Guo
2026KVmix: Gradient-Based Layer Importance-Aware Mixed-Precision Quantization for KV Cache.
Fei Li, Song Liu, Weiguo Wu, Shiqiang Nie, Jinyu Wang
2026KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing.
Zhifei Li, Lifan Chen, Jiali Yi, Xiaoju Hou, Yue Zhao, Wenxin Huang, Miao Zhang, Kui Xiao, Bing Yang
2026Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training.
Yang Zhang, Zhanxiang Cao, Buqing Nie, Haoyang Li, Jiangwei Zhong, Qiao Sun, Xiaoyi Hu, Xiaokang Yang, Yue Gao
2026KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference.
Yuxuan Tian, Zihan Wang, Yebo Peng, Aomufei Yuan, Zhiming Wang, Bairen Yi, Xin Liu, Yong Cui, Tong Yang
2026Kernelized Edge Attention: Addressing Semantic Attention Blurring in Temporal Graph Neural Networks.
Govind Waghmare, Srini Rohan Gujulla Leel, Nikhil Tumbde, Sumedh B. G, Sonia Gupta, Srikanta Bedathur
2026Key Decision-Makers in Multi-Agent Debates: Who Holds the Power?
Qian Zhang, Jinyi Liu, Yan Zheng, Hebin Liang, Lanjun Wang
2026Khan-GCL: Kolmogorov-Arnold Network Based Graph Contrastive Learning with Hard Negatives.
Zihu Wang, Boxun Xu, Hejia Geng, Peng Li
2026KineST: A Kinematics-guided Spatiotemporal State Space Model for Human Motion Tracking from Sparse Signals.
Shuting Zhao, Zeyu Xiao, Xinrong Chen
2026Know Your Neighbors: Subgraph Importance Sampling for Heterophilic Graph Active Learning.
Wenjie Yang, Shengzhong Zhang, Chen Ye, Jiaxing Guo, Tongshan Xu, Zengfeng Huang
2026KnowLCP: Knowledge Augmented Lane Change Prediction for Autonomous Driving.
Yuhuan Lu, Pengpeng Xu, Wei Wang, Zhen Zhang, Han Liu, Xiping Hu
2026KnowPilot: Your Knowledge-Driven Copilot for Domain Tasks.
Zekun Xi, Ziyan Jiang, Yujie Bao, Zhenqian Xu, Shumin Deng
2026KnowThyself: An Agentic Assistant for LLM Interpretability.
Suraj Prasai, Mengnan Du, Ying Zhang, Fan Yang
2026Knowledge Boundary Discovery for Large Language Models.
Ziquan Wang, Zhongqi Lu
2026Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning.
Xiaoxing You, Qiang Huang, Lingyu Li, Chi Zhang, Xiaopeng Liu, Min Zhang, Jun Yu
2026Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation.
Zi'ang Wang, Lei Chen, Yuanchang Jin, Pan Deng, Shuangshuang Pang, Junting Liu, Yu Zhao
2026Knowledge Graph for Efficient Multi-hop Question Generation (Student Abstract).
Al Hasib Mahamud, Yllias Chali
2026Knowledge-Based Stable Roommates Problems.
Müge Fidan
2026Knowledge-Enhanced Explainable Hypergraph Convolution Network for Medication Recommendation.
Zihan Zhang, Hongzhi Liu, Xiaoshuang Guo, Tianqi Sun, Zhonghai Wu
2026Knowledge-Enhanced Explainable Prompting for Vision-Language Models.
Yequan Bie, Andong Tan, Zhixuan Chen, Zhiyuan Cai, Luyang Luo, Hao Chen
2026Knowledge-Enhanced Image Captioning with Adaptive Graph-based Multimodal Alignment and LLM.
Guoyi Li, Die Hu, Haozhe Li, Zhongjiang Yao, Wei Mi, Zongzhen Liu, Xiaodan Zhang, Honglei Lyu
2026Knowledge-Guided Machine Learning: A Paradigm Shift in AI for Science.
Anuj Karpatne, Xiaowei Jia, Vipin Kumar
2026Koopman Invariants as Drivers of Emergent Time-Series Clustering in Joint-Embedding Predictive Architectures.
Pablo Ruiz-Morales, Dries Vanoost, Davy Pissoort, Mathias Verbeke
2026Kronos: A Foundation Model for the Language of Financial Markets.
Yu Shi, Zongliang Fu, Shuo Chen, Bohan Zhao, Wei Xu, Changshui Zhang, Jian Li
2026L2-LoRA: Improving Low-Rank Adaptation with Layer-Specific Regularization.
Xiang Zhang, Rui Xie, Shikun Zhang
2026L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention.
Yu-Liang Zhan, Xinyu Tang, Han Wan, Jian Li, Jirong Wen, Hao Sun
2026LAMDA: Two-Phase HPO via Learning Prior from Low-Fidelity Data.
Fan Li, Shengbo Wang, Ke Li
2026LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection.
Jian Wu, Hang Yu, Bingchang Liu, Wenjie Yang, Peng Di, Jianguo Li, Yue Zhang
2026LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer.
Yuzhuo Chen, Zehua Ma, Jianhua Wang, Kai Kang, Shunyu Yao, Weiming Zhang
2026LAMP: Learning Universal Adversarial Perturbations for Multi-Image Tasks via Pre-trained Models.
Alvi Md. Ishmam, Najibul Haque Sarker, Zaber Ibn Abdul Hakim, Chris Thomas
2026LAS: Loss-less ANN-SNN Conversion for Fully Spike-Driven Large Language Models.
Long Chen, Xiaotian Song, Yanan Sun
2026LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation.
Xilin Lan, Huan Zhang, Yang Yang, Chengwu Xue, Li Kuang
2026LENS: Learning to Segment Anything with Unified Reinforced Reasoning.
Lianghui Zhu, Bin Ouyang, Yuxuan Zhang, Tianheng Cheng, Rui Hu, Haocheng Shen, Longjin Ran, Xiaoxin Chen, Li Yu, Wenyu Liu, Xinggang Wang
2026LGAN: An Efficient High-Order Graph Neural Network via the Line Graph Aggregation.
Lin Du, Lu Bai, Jincheng Li, Lixin Cui, Hangyuan Du, Lichi Zhang, Yuting Chen, Zhao Li
2026LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models.
Amit Jena, Na Li, Le Xie
2026LLA: Enhancing Security and Privacy for Generative Models with Logic-Locked Accelerators.
You Li, Guannan Zhao, Yuhao Ju, Yunqi He, Jie Gu, Hai Zhou
2026LLM Collaboration with Multi-Agent Reinforcement Learning.
Shuo Liu, Zeyu Liang, Xueguang Lyu, Christopher Amato
2026LLM Collaborative Filtering: User-Item Graph as New Language.
Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang
2026LLM Safety in Judicial AI: A Stress Test of Social Media Influence on Real-World Judgments.
Yixuan Xie, Yang He, Xiaoyu Yang, Xu Gai, Pan Hui
2026LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users.
Elinor Poole-Dayan, Deb Roy, Jad Kabbara
2026LLM-Aligned Geographic Item Tokenization for Local-Life Recommendation.
Hao Jiang, Guoquan Wang, Donglin Zhou, Sheng Yu, Yang Zeng, Wencong Zeng, Kun Gai, Guorui Zhou
2026LLM-Based Agent for Competitive Landscape Mapping in Drug Asset Due Diligence.
Vlad Vinogradov, Alisa Vinogradova, Dmitrii Radkevich, Ilya Yasny, Dmitry Kobyzev, Ivan Izmailov, Katsiaryna Yanchanka, Andrey Doronichev
2026LLM-CAS: Dynamic Neuron Perturbation for Real-Time Hallucination Correction.
Jusheng Zhang, Ningyuan Liu, Yijia Fan, Zihao Huang, Qinglin Zeng, Kaitong Cai, Jian Wang, Keze Wang
2026LLM-Enabled Scientific Knowledge Diffusion Analysis.
Uttam Rao, Madhav V. Marathe
2026LLM-Enhanced Energy Contrastive Learning for Out-of-Distribution Detection in Text-Attributed Graphs.
Xiaoxu Ma, Dong Li, Minglai Shao, Xintao Wu, Chen Zhao
2026LLM-Free Image Captioning Evaluation in Reference-Flexible Settings.
Shinnosuke Hirano, Yuiga Wada, Kazuki Matsuda, Seitaro Otsuki, Komei Sugiura
2026LLM-Guided Quantified SMT Solving over Uninterpreted Functions.
Kunhang Lv, Yuhang Dong, Rui Han, Fuqi Jia, Feifei Ma, Jian Zhang
2026LLM-Oriented Token-Adaptive Knowledge Distillation.
Xurong Xie, Zhucun Xue, Jiafu Wu, Jian Li, Yabiao Wang, Xiaobin Hu, Yong Liu, Jiangning Zhang
2026LLM2CLIP: Powerful Language Model Unlocks Richer Cross-Modality Representation.
Weiquan Huang, Aoqi Wu, Yifan Yang, Xufang Luo, Yuqing Yang, Usman Naseem, Chunyu Wang, Qi Dai, Xiyang Dai, Dongdong Chen, Chong Luo, Lili Qiu, Liang Hu
2026LLM4Sweat: A Trustworthy Large Language Model for Hyperhidrosis Support.
Wenjie Lin, Jin Wei-Kocsis
2026LLMC+: Benchmarking Vision-Language Model Compression with a plug-and-play Toolkit.
Chengtao Lv, Bilang Zhang, Yang Yong, Ruihao Gong, Yushi Huang, Shiqiao Gu, Jiajun Wu, Yumeng Shi, Jinyang Guo, Wenya Wang
2026LLMTM: Benchmarking and Optimizing LLMs for Temporal Motif Analysis in Dynamic Graphs.
Bing Hao, Minglai Shao, Zengyi Wo, Yunlong Chu, Yuhang Liu, Ruijie Wang
2026LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models.
Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria
2026LLMs Unleashed: Generating Protocol Code from RFC Specifications.
Junfeng Long, Jinshu Su, Biao Han
2026LLaVA-MS-PIT: Multi-Modal Schema-Guided Progressive Instruction Tuning for Multi-Modal Event Extraction.
Hui Zhang, Po Hu, Wei Emma Zhang
2026LLaVA-UHD v2: Exploiting Hierarchical Vision Granularity in MLLMs via Inverse Semantic Pyramid.
Yipeng Zhang, Yifan Liu, Zonghao Guo, Yidan Zhang, Xuesong Yang, Xiaoying Zhang, Chi Chen, Jun Song, Yuan Yao, Tat-Seng Chua, Maosong Sun
2026LLaVA³: Representing 3D Scenes Like a Cubist Painter to Boost 3D Scene Understanding of VLMs.
Doriand Petit, Steve Bourgeois, Vincent Gay-Bellile, Florian Chabot, Loïc Barthe
2026LMGL-WD: LLM-Guided Multi-Task Graph Learning for Category-Level Warehouse Demand Prediction in E-Commerce.
Wenjun Lyu, Fangyu Li, Yudong Zhang, Shuai Wang, Yunhuai Liu, Tian He, Desheng Zhang
2026LOG-Nav: Efficient Layout-Aware Object-Goal Navigation with Hierarchical Planning.
Jiawei Hou, Yuting Xiao, Xiangyang Xue, Taiping Zeng
2026LORETTA: A Low Resource Framework to Poison Continuous Time Dynamic Graphs.
Himanshu Pal, Venkata Sai Pranav Bachina, Ankit Gangwal, Charu Sharma
2026LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration.
Ruiyu Qiu, Rui Wang, Guanghui Yang, Xiang Li, Zhijiang Shao
2026LR-AdaInSeg: Adaptive Instance Segmentation of Incomplete 3D Scenes Driven by Low-Rank Networks.
Qin Zhang, Kun Zhou, Xulun Ye
2026LSAP-PV: High-Fidelity Palm Vein Image Synthesis via Layered Spectral Absorption Projection-Guided Diffusion Model.
Sheng Shang, Chenglong Zhao, Ruixin Zhang, Jianlong Jin, Jingyun Zhang, Jun Wang, Yang Zhao, Shouhong Ding, Wei Jia
2026LSD-3D: Large-Scale 3D Driving Scene Generation with Geometry Grounding.
Julian Ost, Andrea Ramazzina, Amogh Joshi, Maximilian Bömer, Mario Bijelic, Felix Heide
2026LSDTs: LLM-Augmented Semantic Digital Twins for Adaptive Knowledge-Intensive Infrastructure Planning.
Naiyi Li, Zihui Ma, Runlong Yu, Lingyao Li
2026LSHFed: Robust and Communication-Efficient Federated Learning with Locally-Sensitive Hashing Gradient Mapping.
Guanjie Cheng, Mengzhen Yang, Xinkui Zhao, Shuyi Yu, Tianyu Du, Yangyang Wu, Mengying Zhu, Shuiguang Deng
2026LUCID: Learning-Enabled Uncertainty-Aware Certification of Stochastic Dynamical Systems.
Ernesto Casablanca, Oliver Schön, Paolo Zuliani, Sadegh Soudjani
2026LUDO: Low-Latency Understanding of Deformable Objects Using Point Cloud Occupancy Functions (Abstract Reprint).
Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl
2026LUMIN: A Longitudinal Multi-modal Knowledge Decomposition Network for Predicting Breast Cancer Recurrence.
Chunyao Lu, Tianyu Zhang, Xinglong Liang, Yuan Gao, Luyi Han, Xin Wang, Nika Rasoolzadeh, Tao Tan, Ritse Mann
2026LWGANet: Addressing Spatial and Channel Redundancy in Remote Sensing Visual Tasks with Light-Weight Grouped Attention.
Wei Lu, Xue Yang, Si-Bao Chen
2026La La LiDAR: Large-Scale Layout Generation from LiDAR Data.
Youquan Liu, Lingdong Kong, Weidong Yang, Xin Li, Alan Liang, Runnan Chen, Ben Fei, Tongliang Liu
2026La VIDA: Towards a Motivated Goal Reasoning Agent (Abstract Reprint).
Ursula Addison
2026LaF-GRPO: In-Situ Navigation Instruction Generation for the Visually Impaired via GRPO with LLM-as-Follower Reward.
Yi Zhao, Siqi Wang, Jing Li
2026LaFINet: Laplacian-Based Frequency Injection Network for Camouflage Object Detection (Student Abstract).
Aravinthakshan A. S., Aditya Prashant Naidu, Aadiv Rath
2026LaTeX2Layout: High-Fidelity, Scalable Document Layout Annotation Pipeline for Layout Detection.
Feijiang Han, Zelong Wang, Bowen Wang, Xinxin Liu, Skyler Cheung, Delip Rao, Chris Callison-Burch, Lyle H. Ungar
2026LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning.
Marc Grimson, Joshua Fan, Courtney L. Davis, Dylan van Bramer, Daniel Fink, Carla P. Gomes
2026LampQ: Towards Accurate Layer-wise Mixed Precision Quantization for Vision Transformers.
Minjun Kim, Jaeri Lee, Jongjin Kim, Jeongin Yun, Yongmo Kwon, U Kang
2026LandCraft: Designing the Structured 3D Landscapes via Text Guidance.
Zhihao Liu, Fang Liu, Weihao Xuan, Naoto Yokoya
2026Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery.
Sai Ma, Zhuang Li, John A. Taylor
2026LangGPS: Language Separability Guided Data Pre-Selection for Joint Multilingual Instruction Tuning.
Yangfan Ye, Xiaocheng Feng, Xiachong Feng, Lei Huang, Weitao Ma, Qichen Hong, Yunfei Lu, Duyu Tang, Dandan Tu, Bing Qin
2026Language Drift in Multilingual Retrieval-Augmented Generation: Characterization and Decoding-Time Mitigation.
Bo Li, Zhenghua Xu, Rui Xie
2026Language Model Distillation: A Temporal Difference Imitation Learning Perspective.
Zishun Yu, Shangzhe Li, Xinhua Zhang
2026Language Models Do Not Embed Numbers Continuously (Student Abstract).
Alex Davies, Roussel Desmond Nzoyem Ngueguin, Nirav Ajmeri, Telmo de Menezes e Silva Filho
2026Language Models and Logic Programs for Trustworthy Tax Reasoning.
William Jurayj, Nils Holzenberger, Benjamin Van Durme
2026Language-Guided and Motion-Aware Gait Representation for Generalizable Recognition.
Zhengxian Wu, Chuanrui Zhang, Shenao Jiang, Hangrui Xu, Zirui Liao, Luyuan Zhang, Huaqiu Li, Peng Jiao, Haoqian Wang
2026Large Connectome Model: An fMRI Foundation Model of Brain Connectomes Empowered by Brain-Environment Interaction in Multitask Learning Landscape.
Ziquan Wei, Tingting Dan, Guorong Wu
2026Large Language Model Unlearning for Source Code.
Xue Jiang, Yihong Dong, Huangzhao Zhang, Tangxinyu Wang, Zheng Fang, Yingwei Ma, Rongyu Cao, Binhua Li, Zhi Jin, Wenpin Jiao, Yongbin Li, Ge Li
2026Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework.
Diego Ortego, Marlon Rodríguez, Mario Almagro, Kunal Dahiya, David Jiménez, Juan C. SanMiguel
2026Large Language Models Struggle with Unreasonability in Math Problems.
Jingyuan Ma, Damai Dai, Zihang Yuan, Rui Li, Weilin Luo, Bin Wang, Qun Liu, Lei Sha, Zhifang Sui
2026Large Participation Experiential Learning Activity for Multiagent Systems.
Alan Tsang
2026Large Scale Retrieval for the LinkedIn Feed Using Causal Language Models.
Sudarshan Srinivasa Ramanujam, Antonio Alonso, Saurabh Kataria, Siddharth Dangi, Akhilesh Gupta, Birjodh Singh Tiwana, Manas Haribhai Somaiya, Luke Simon, David Byrne, Sojeong Ha, Sen Zhou, Andrei Akterskii, Zhanglong Liu, Samira Sriram, Zihan Xiong, Zhoutao Pei, Angela Shao, Alex Li, Annie Xiao, Caitlin Kolb, Thomas Kistler, Zach Moore, Hamed Firooz
2026Latent Knowledge-Guided Video Diffusion for Scientific Phenomena Generation from a Single Initial Frame.
Qinglong Cao, Xirui Li, Ding Wang, Chao Ma, Yuntian Chen, Xiaokang Yang
2026Latent Representations of Land-Sea Boundaries and Extreme Temperature in Aurora's Encoder (Student Abstract).
Benjamin Richards, Pushpa Kumar Balan
2026Latent Self-Consistency for Reliable Majority-Set Selection in Short- and Long-Answer Reasoning.
Jungsuk Oh, Jay-Yoon Lee
2026Latent State-Predictive Exploration for Deep Reinforcement Learning.
Yiming Wang, Kaiyan Zhao, Borong Zhang, Yan Li, Leong Hou U
2026LatentLLM: Activation-Aware Transform to Multi-Head Latent Attention.
Toshiaki Koike-Akino, Xiangyu Chen, Jing Liu, Ye Wang, Pu Perry Wang, Matthew Brand
2026LatentVLA: Taming Latent Space for Generalizable and Long-Horizon Bimanual Manipulation.
Junming Wang
2026LayerEdit: Disentangled Multi-Object Editing via Conflict-Aware Multi-Layer Learning.
Fengyi Fu, Mengqi Huang, Lei Zhang, Zhendong Mao
2026Layout-Aware Document Parsing with Visual-Linguistic Fusion: The DATA-LUX with Academic Content Service Provider.
Min Chan Kim, Yeonkyung Kim, Jae Won Lee, Ki Hwan Kim, Ji Woo Kwak, Jae Hong Park
2026Laytrol: Preserving Pretrained Knowledge in Layout Control for Multimodal Diffusion Transformers.
Sida Huang, Siqi Huang, Ping Luo, Hongyuan Zhang
2026LeanRAG: Knowledge-Graph-Based Generation with Semantic Aggregation and Hierarchical Retrieval.
Yaoze Zhang, Rong Wu, Pinlong Cai, Xiaoman Wang, Guohang Yan, Song Mao, Ding Wang, Botian Shi
2026LeanTutor: Towards a Verified AI Mathematical Proof Tutor.
Manooshree Patel, Rayna Bhattacharyya, Thomas Lu, Arnav Mehta, Niels Voss, Narges Norouzi, Gireeja Ranade
2026Leap of FAITH from GNN-to-MLP: Fairness Aware Inference via DisTillation of GrapH Knowledge.
Vipul Kumar Singh, Jyotismita Barman, Sandeep Kumar, Tapan K. Gandhi, Jayadeva
2026Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN.
Kaichen Ouyang, Zong Ke, Shengwei Fu, Lingjie Liu, Puning Zhao, Dayu Hu
2026Learnable Matrix Profile for Motif Discovery on Multivariate Time Series.
Mingkai Lin, Yinke Wang, Xiaobin Hong, Wenzhong Li
2026Learnable Permutation for Structured Sparsity on Transformer Models.
Zekai Li, Ji Liu, Guanchen Li, Yixing Xu, Ziqiong Liu, Xuanwu Yin, Dong Li, Emad Barsoum
2026Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement.
Zhenlong Dai, Zhuoluo Zhao, Hengning Wang, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen
2026Learngene: Inheritable 'Genes' in Intelligent Agents (Abstract Reprint).
Fu Feng, Jing Wang, Xu Yang, Xin Geng
2026Learning 3D Occupancy from Beam Overlap in 2D Rotating mmWave Radar.
Yu Du, Ruifeng Nie, Long Ma, Chengpei Xu, Yu Liu, Weimin Wang
2026Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts.
Kiran Chhatre, Christopher E. Peters, Srikrishna Karanam
2026Learning Adaptive and Expandable Mixture Model for Continual Learning.
Fei Ye, YongCheng Zhong, Qihe Liu, Adrian G. Bors, Jingling Sun, Jinyu Guo, Shijie Zhou
2026Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework.
Xiaohan Zhang, Zhangkai Shen, Si-Yuan Cao, Xiaokai Bai, Yiming Li, Zheheng Han, Zhe Wu, Qi Ming, Hui-Liang Shen
2026Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization.
Qizhi Li, Xuyang Wang, Yingke Chen, Ming Yan, Dezhong Peng, Xi Peng, Xu Wang
2026Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation.
Rui Yang, Yunfei Bai, Yuehua Liu, Xiaomao Li, Shaorong Xie
2026Learning Branching Policies for MILPs with Proximal Policy Optimization.
Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal El Fallah Seghrouchni
2026Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling.
Mengran Li, Zelin Zang, Wenbin Xing, Junzhou Chen, Ronghui Zhang, Jiebo Luo, Stan Z. Li
2026Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details.
Qiang Bai, Bojian Wu, Xi Yang, Zhizhong Han
2026Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation.
Jiong Tao, Yong-Liang Yang, Bailin Deng
2026Learning DFAs from Positive Examples Only via Word Counting.
Benjamin Bordais, Daniel Neider
2026Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation.
Jing Cao, Kui Jiang, Shenyi Li, Xiaocheng Feng, Yong Huang
2026Learning Diffusion Policy from Primitive Skills for Robot Manipulation.
Zhihao Gu, Ming Yang, Difan Zou, Dong Xu
2026Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations.
Bohan Zhou, Haoqi Yuan, Yuhui Fu, Zongqing Lu
2026Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract).
Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty
2026Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition.
Yuan Dong, Zhe Zhao, Liheng Yu, Di Wu, Pengkun Wang
2026Learning Fair Graph Representations via Probability of Necessity and Sufficiency.
Chuxun Liu, Qingfeng Chen, Debo Cheng, Jiangzhang Gan, Jiuyong Li, Lin Liu
2026Learning Fair Representations with Kolmogorov-Arnold Networks.
Amisha Priyadarshini, Sergio Gago Masagué
2026Learning Heuristic Functions for HTN Planning.
Daniel Höller
2026Learning Heuristic Functions with Graph Neural Networks for Numeric Planning.
Valerio Borelli, Alfonso Gerevini, Enrico Scala, Ivan Serina
2026Learning Intrinsic Hierarchy for Generalized Category Discovery.
Yu Duan, Junzhi He, Zhanxuan Hu, Mengda Ji, Rong Wang, Quanxue Gao
2026Learning Knowledge from Textual Descriptions for 3D Human Pose Estimation.
Yi Wu, Jingtian Li, Shangfei Wang, Guoming Li, Meng Mao, Linxiang Tan
2026Learning Label Distribution with Dirichlet Process Mixture Model.
Minglong Wang, Weiwei Li, Yunan Lu, Xiuyi Jia
2026Learning Latent Imaging Biomarkers for Interpretable Microvascular Invasion Prediction in Hepatocellular Carcinoma.
Ji Rao, Xinyu Liu, Yong Yi, Ying Xiao, Ye Luo
2026Learning More from Less: Resource-Constrained Generative AI for Classification, Generation, and Personalization.
Aniket Roy
2026Learning Network Dismantling Without Handcrafted Inputs.
Haozhe Tian, Pietro Ferraro, Robert N. Shorten, Mahdi Jalili, Homayoun Hamedmoghadam
2026Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling.
Jingren Hou, Hong Wang, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing
2026Learning Object-Centric Motion Priors from Human for Robotic Dexterous Manipulation.
Zhengdong Hong, Guofeng Zhang
2026Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer.
Enming Zhang, Liwen Cao, Yanru Wu, Zijie Zhao, Yang Li
2026Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition.
Xiangyu Kong, Hengde Zhu, Haoqin Sun, Zhihao Guo, Jiayan Gu, Xinyi Ni, Wei Zhang, Shizhe Liu, Siyang Song
2026Learning Procedural-Aware Video Representations Through State-Grounded Hierarchy Unfolding.
Jinghan Zhao, Yifei Huang, Feng Lu
2026Learning Protein-Ligand Binding in Hyperbolic Space.
Jianhui Wang, Wenyu Zhu, Bowen Gao, Xin Hong, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan
2026Learning Spatial Decay for Vision Transformers.
Yuxin Mao, Zhen Qin, Jinxing Zhou, Bin Fan, Jing Zhang, Yiran Zhong, Yuchao Dai
2026Learning Structurally Stabilized Representations for Lossless DNA Storage.
Ben Cao, Xue Li, Tiantian He, Bin Wang, Shihua Zhou, Xiaohu Wu, Qiang Zhang
2026Learning Subgroups with Maximum Treatment Effects Without Causal Heuristics.
Lincen Yang, Zhong Li, Matthijs van Leeuwen, Saber Salehkaleybar
2026Learning Systems Expansion with Efficient Heterogeneity-aware Knowledge Transfer.
Gaole Dai, Huatao Xu, Yifan Yang, Rui Tan, Mo Li
2026Learning Through Concepts: Hierarchies, Logic and Reasoning.
Deepika Vemuri
2026Learning Time in Static Classifiers.
Xi Ding, Lei Wang, Piotr Koniusz, Yongsheng Gao
2026Learning Topology-Aware Dynamic Associations for Robust Multi-Person Pose Estimation.
Shengnan Hu, Yandong Liu, Jiangnan Liu, Yahong Chen
2026Learning Topology-Driven Multi-Subspace Fusion for Grassmannian Deep Networks.
Xuan Yu, Tianyang Xu
2026Learning Underwater Image Enhancement Iteratively Without Reference Images.
Yi Tang, Hiroshi Kawasaki, Takafumi Iwaguchi, Yuhang Zhang, Hiroshi Masui
2026Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees.
Xinhang Ma, Junlin Wu, Hussein Sibai, Yiannis Kantaros, Yevgeniy Vorobeychik
2026Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering.
Hang Gao, Zuosong Cai, Yuze Li, Cheng Liu, Gaoyang Li, Ying Li, Wei Du, You Zhou
2026Learning a Fix and Explore Framework for Continuous Generalized Category Discovery.
Chunming Li, Shidong Wang, Haofeng Zhang
2026Learning from Answer Sets via Single-Shot Disjunctive ASP Encoding.
Roberto Borelli, Agostino Dovier
2026Learning from Guidelines: Structured Prompt Optimization for Expert Annotation Tasks.
Wenliang Zhong, Haiqing Li, Thao M. Dang, Feng Jiang, Hehuan Ma, Yuzhi Guo, Jean Gao, Junzhou Huang
2026Learning from Human Gaze: Human-like Robot Social Navigation in Dense Crowds.
Zhecheng Yu, Yan Lyu, Chen Yang, Tao Chen, Yishuang Zhang, Bo Ling, Peng Wang, Guanyu Gao, Weiwei Wu, Brian Y. Lim
2026Learning from Imperfect Data: Incremental Learning and Few-shot Learning.
Yaoyao Liu
2026Learning from Imperfect Data: Robust Inference of Dynamic Systems Using Simulation-Based Generative Model.
Hyunwoo Cho, Hyeontae Jo, Hyung Ju Hwang
2026Learning from Long-Term Engagement: Adaptive Tutoring Dialogue Planning for Personalized Education.
Zhiang Dong, Zhenlong Dai, Xiangwei Lv, Jingyuan Chen
2026Learning from Reasoning Failures via Synthetic Data Generation.
Gabriela Ben Melech Stan, Estelle Aflalo, Avinash Madasu, Vasudev Lal, Phillip Howard
2026Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment.
Lei Chen, Tengteng Cheng, Boyu Gao, Zitao Liu, Weiqi Luo
2026Learning from the Undesirable: Robust Adaptation of Language Models Without Forgetting.
Yunhun Nam, Jaehyung Kim, Jongheon Jeong
2026Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions.
Reda Ouhamma, Maryam Kamgarpour
2026Learning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation.
Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026Learning to Cluster Rare Cell Types: Implicit Semantic Data Augmentation for Spatial Multi-modal Omics Analysis.
Daixian Liu, Hau-Sing So, Haoran Chen, Jiao Li, Shanshan Wang, Mengzhu Wang, Jingcai Guo
2026Learning to Collaborate: An Orchestrated-Decentralized Framework for Peer-to-Peer LLM Federation.
Inderjeet Singh, Eléonore Vissol-Gaudin, Andikan Otung, Motoyoshi Sekiya
2026Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation.
Qisen Chai, Yansong Wang, Junjie Huang, Tao Jia
2026Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation.
Yeqin Zhang, Yizheng Zhao, Chen Hu, Binxing Jiao, Daxin Jiang, Ruihang Miao, Cam-Tu Nguyen
2026Learning to Cooperate with Minimal Observability.
Chin-wing Leung, Paolo Turrini, Fernando P. Santos, Mirco Musolesi
2026Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity.
Xovee Xu, Shuojun Lin, Fan Zhou, Jingkuan Song
2026Learning to Deliberate: Meta-policy Collaboration for Agentic LLMs with Multi-agent Reinforcement Learning.
Wei Yang, Jesse Thomason
2026Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study.
Yingji Zhang, Marco Valentino, Danilo S. Carvalho, André Freitas
2026Learning to Explore: Policy-Guided Outlier Synthesis for Graph Out-of-Distribution Detection.
Li Sun, Lanxu Yang, Jiayu Tian, Bowen Fang, Xiaoyan Yu, Junda Ye, Peng Tang, Hao Peng, Philip S. Yu
2026Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation.
Jing Xiao, Xinhai Chen, Jiaming Peng, Jie Liu
2026Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction.
Guangjun Zhang, Hu Zhang, Yazhou Han, Yue Fan, Yuhang Shao, Hongye Tan, Ru Li
2026Learning to LEAP: Efficient Dense Point Tracking by Focusing Where It Matters.
Chenzhi Zhao, Wufan Wang, Bo Zhang, Wendong Wang
2026Learning to Optimize Job Shop Scheduling Under Structural Uncertainty.
Rui Zhang, Jianwei Niu, Xuefeng Liu, Shaojie Tang, Jing Yuan
2026Learning to Parse and Reconstruct: Bidirectional Modeling of Question-to-Program Mapping.
Zeying Duan, Youtian Du, Yuanlin Chang, Bowen Lin, Weijia Wu
2026Learning to Rank: How GNNs Solve Max-Clique and Sparse PCA.
Elad Shoham, Omri Haber, Havana Rika, Dan Vilenchik
2026Learning to Tell Apart: Weakly Supervised Video Anomaly Detection via Disentangled Semantic Alignment.
Wenti Yin, Huaxin Zhang, Xiang Wang, Yuqing Lu, Yicheng Zhang, Bingquan Gong, Jialong Zuo, Li Yu, Changxin Gao, Nong Sang
2026Learning to Transform: Unifying Latent Geometric Shape and Appearance Representations in Healthcare Imaging.
Tonmoy Hossain
2026Learning to Use AI for Learning: Teaching Responsible Use of AI Chatbot to K-12 Students Through an AI Literacy Module.
Ruiwei Xiao, Xinying Hou, Ying-Jui Tseng, Hsuan Nieu, Guan-Ze Liao, John C. Stamper, Kenneth R. Koedinger
2026Learning with Preserving for Continual Multitask Learning.
Hanchen David Wang, Siwoo Bae, Zirong Chen, Meiyi Ma
2026Learning with Structure: Computing Consistent Subsets on Structurally-Regular Graphs.
Aritra Banik, Mano Prakash Parthasarathi, Venkatesh Raman, Diya Roy, Abhishek Sahu
2026Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach.
Bosun Kang, Hyejun Park, Chenglin Fan
2026Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction.
Zhicheng Zhang, Zhaocheng Du, Jieming Zhu, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng, Zhenhua Dong
2026Less Is Better: Sparse Instance Learning for Cross-Domain Few-Shot Object Detection.
Yali Huang, Jie Mei, Ziyi Wu, Yiming Yang, Hongru Zhao, Mingyuan Jiu, Hichem Sahbi
2026Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective.
Tianqi Jiang, Liu Yang, Xi-Le Zhao, Zixuan Qin, Qinghua Hu
2026Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks.
Keke Tang, Tianyu Hao, Xiaofei Wang, Weilong Peng, Denghui Zhang, Peican Zhu, Zhihong Tian
2026Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models.
Yucheng Zhou, Jihai Zhang, Guanjie Chen, Jianbing Shen, Yu Cheng
2026Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition.
Haiying Xia, Zhongyi Huang, Yumei Tan, Shuxiang Song
2026Let the Void Be Void: Robust Open-Set Semi-Supervised Learning via Selective Non-Alignment.
You Rim Choi, Subeom Park, Seojun Heo, Eunchung Noh, Hyung-Sin Kim
2026Let's Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts.
Xu Liu, Yongheng Zhang, Qiguang Chen, Yao Li, Sheng Wang, Libo Qin
2026Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving.
Hui Zeng, Daming Zhao, Pengfei Yang, WenXuan Hou, Tianyang Zheng, Hui Li, Weiye Ji, Jidong Zhai
2026Leveraging Dissimilarity Invariance as a Robust Anchor for Learning with Noisy Labels.
Wenxiao Fan, Kan Li
2026Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection.
Shibo Yao, Renshuai Tao, Xiaolong Zheng, Chao Liang, Chunjie Zhang
2026Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs.
Shezheng Song, Kangcheng Ding, Shan Zhao, Shasha Li, Xiaopeng Li, Chengyu Wang, Qian Wan, Bin Ji, Jie Yu
2026Leveraging Sparse Observations to Predict Species Abundance Across Space and Time.
Md Zahidul Islam, Cameron S. Fletcher, Ke Sun, Amir Dezfouli, Iadine Chades
2026Leveraging Textual Compositional Reasoning for Robust Change Captioning.
Kyu Ri Park, Jiyoung Park, Seong Tae Kim, Hong Joo Lee, Jung Uk Kim
2026Leveraging Visual Blur Perception Characteristics for EEG Decoding.
Wenchao Liu, Hongwei Li, Zhouyang Xu, Lin Ma, Haifeng Li
2026LexChain: Modeling Legal Reasoning Chains for Chinese Tort Case Analysis.
Huiyuan Xie, Chenyang Li, Huining Zhu, Chubin Zhang, Yuxiao Ye, Zhenghao Liu, Zhiyuan Liu
2026LexInstructEval: Lexical Instruction Following Evaluation for Large Language Models.
Huimin Ren, Yan Liang, Baiqiao Su, Chaobo Sun, Hengtong Lu, Kaike Zhang, Chen Wei
2026LiBrain: LLM-Powered Li-ion Battery Diagnostics with Time-Series-Aware Retrieval-Augmented Framework for E-bikes.
Zhao Li, Zixin Lin, Donghui Ding, Yichen Zhong, Biao Wang, Haitao Xu, Peng Cai
2026LiDAR-GS++: Improving LiDAR Gaussian Reconstruction via Diffusion Priors.
Qifeng Chen, Jiarun Liu, Rengan Xie, Tao Tang, Sicong Du, Yiru Zhao, Yuchi Huo, Sheng Yang
2026LiDARCrafter: Dynamic 4D World Modeling from LiDAR Sequences.
Alan Liang, Youquan Liu, Yu Yang, Dongyue Lu, Linfeng Li, Lingdong Kong, Huaici Zhao, Wei Tsang Ooi
2026LiNeXt: Revisiting LiDAR Completion with Efficient Non-Diffusion Architectures.
Wenzhe He, Xiaojun Chen, Ruiqi Wang, Ruihui Li, Huilong Pi, Jiapeng Zhang, Zhuo Tang, Kenli Li
2026LiR3AG: A Lightweight Rerank Reasoning Strategy Framework for Retrieval-Augmented Generation.
Guo Chen, Junjie Huang, Huaijin Xie, Fei Sun, Tao Jia
2026LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation.
Gregory Hok Tjoan Go, Khang Ly, Anders Søgaard, Seyed Amin Tabatabaei, Maarten de Rijke, Xinyi Chen
2026LiViBench: An Omnimodal Benchmark for Interactive Livestream Video Understanding.
Xiaodong Wang, Langling Huang, Zhirong Wu, Xu Zhao, Teng Xu, Xuhong Xia, Peixi Peng
2026Libra-MIL: Multimodal Prototypes Stereoscopic Infused with Task-specific Language Priors for Few-shot Whole Slide Image Classification.
Zhenfeng Zhuang, Fangyu Zhou, Liansheng Wang
2026LidarPainter: One-Step Away from Any Lidar View to Novel Guidance.
Yuzhou Ji, Ke Ma, Hong Cai, Anchun Zhang, Lizhuang Ma, Xin Tan
2026LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models.
Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Tri Nguyen, Vasudev Lal, Joseph Campbell, Simon Stepputtis, Shao-Yen Tseng
2026Life, Machine Learning, and the Search for Habitability: Predicting Biosignature Fluxes for the Habitable Worlds Observatory.
Mark Moussa, Amber V. Young, Brianna Isola, Vasuda Trehan, Michael D. Himes, Nicholas Wogan, Giada N. Arney
2026LifeAlign: Lifelong Alignment for Large Language Models with Memory-Augmented Focalized Preference Optimization.
Junsong Li, Jie Zhou, Bihao Zhan, Yutao Yang, Qianjun Pan, Shilian Chen, Tianyu Huai, Xin Li, Qin Chen, Liang He
2026Lifelong Domain Adaptive 3D Human Pose Estimation.
Qucheng Peng, Hongfei Xue, Pu Wang, Chen Chen
2026Lifelong Language-Conditioned Robotic Manipulation Learning.
Xudong Wang, Zebin Han, Zhiyu Liu, Gan Li, Jiahua Dong, Baichen Liu, Lianqing Liu, Zhi Han
2026Light but Sharp: SlimSTAD for Real-Time Action Detection from Sensor Data.
Wei Cui, Lukai Fan, Zhenghua Chen, Min Wu, Shili Xiang, Haixia Wang, Bing Li
2026Light-IF: Endowing LLMs with Generalizable Reasoning via Preview and Self-Checking for Complex Instruction Following.
Chenyang Wang, Liang Wen, Shousheng Jia, Xiangzheng Zhang, Liang Xu
2026Lightning Fast Caching-based Parallel Denoising Prediction for Accelerating Talking Head Generation.
Jianzhi Long, Wenhao Sun, Rong-Cheng Tu, Dacheng Tao
2026Lightweight Adaptive Topological Layout and Semantic Mapping in Vision-and-Language Navigation on Websites.
Pingrui Lai, Zihao Xie, Hua Yang
2026Lightweight Additive Blend Maps for Texture-Preserving Face Retouching: A Neural Approach to Traditional Photographic Techniques.
Abinash Pegu
2026Lightweight Optimal-Transport Harmonization on Edge Devices.
Maria A. Larchenko, Dmitry Guskov, Alexander Lobashev, Georgy Derevyanko
2026LinProVSR: Linguistics-Knowledge Guided Progressive Disambiguation Network for Visual Speech Recognition.
Feng Xue, Baochao Zhu, Wei Jia, Shujie Li, Yu Li, Jinrui Zhang, Shengeng Tang, Dan Guo
2026Linear Time Algorithms for Individually Fair k-means via Multi-Swap Local Search.
Beirong Cui, Qilong Feng, Junyu Huang
2026Linguistic Steganography via Self-Adjusting Asymmetric Number System (Abstract Reprint).
Yiting Liu, Chungen Xu, Fei Yang, Pan Zhang, Linlong Wang
2026Listen like a Teacher: Mitigating Whisper Hallucinations Using Adaptive Layer Attention and Knowledge Distillation.
Kumud Tripathi, Aditya Srinivas Menon, Aman Gaurav, Raj Prakash Gohil, Pankaj Wasnik
2026Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models.
Hualei Wang, Yiming Li, Shuo Ma, Hong Liu, Xiangdong Wang
2026LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence.
Yohanes Yudhi Adikusuma, Qixing Huang, Ying He
2026LiteLong: Resource-Efficient Long-Context Data Synthesis for LLMs.
Junlong Jia, Xing Wu, Chaochen Gao, Ziyang Chen, Zijia Lin, Zhongzhi Li, Weinong Wang, Haotian Xu, Donghui Jin, Debing Zhang, Binghui Guo
2026Lithology-Aware Conditional Variational Autoencoder for Synthetic Well Log Generation in Petroleum Reservoirs (Student Abstract).
Aline Cambri Fredere, Gabriel de Oliveira Ramos, Luciano Garim Garcia, Mateus da Rocha Simionato, José Manuel Marques Teixeira de Oliveira, Ariane Santos da Silveira
2026LoGIC: Multi-LoRA Guided Importance Consensus for Multi-Task Pruning in Vision Transformers.
Yu-Hong Chou, Rui Fang, Hsi-Wen Chen, Ming-Syan Chen
2026LoGoSeg: Integrating Local and Global Features for Open-Vocabulary Semantic Segmentation.
Junyang Chen, Xiangbo Lv, Zhiqiang Kou, Xingdong Sheng, Ning Xu, Yiguo Qiao
2026LoKI: Low-Damage Knowledge Implanting of Large Language Models.
Runyu Wang, Peng Ping, Zhengyu Guo, Xiaoye Zhang, Quan Shi, Liting Zhou, Tianbo Ji
2026LoRA in LoRA: Towards Parameter-Efficient Architecture Expansion for Continual Visual Instruction Tuning.
Chang Che, Ziqi Wang, Pengwan Yang, Cheems Wang, Hui Ma, Zenglin Shi
2026Local Guidance for Configuration-Based Multi-Agent Pathfinding.
Tomoki Arita, Keisuke Okumura
2026LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning.
Zihan Gao, Yifei Xu, Jacob Thebault-Spieker
2026Localization-Anchored Instance Discrimination for Domain Adaptive Person Search.
Linfeng Qi, Huibing Wang, Jinjia Peng, Jiqing Zhang
2026Localized Near Surface Temperature Inversion Forecasting Using Long Short-Term Memory.
Taylor Dinkins, Weng-Keen Wong, Basavaraj R. Amogi, Paola Pesantez-Cabrera, Jaitun Patel, Lav R. Khot, Alan Fern
2026Logic Unseen: Revealing the Logical Blindspots of Vision-Language Models.
Yuchen Zhou, Jiayu Tang, Shuo Yang, Xiaoyan Xiao, Yuqin Dai, Wenhao Yang, Chao Gou, Xiaobo Xia, Tat-Seng Chua
2026LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning.
Liutao, Xutao Mao, Dixuan Zhang, Yifan Li, Haixin Liu, Lulu Kong, Jiaming Hou, Rui Li, Yunlong Li, Aoze Zheng, Zhiqiang Zhang, Zhewei Luo, Hongying Zan, Kunli Zhang, Min Peng
2026Logical Characterizations of GNNs with Mean Aggregation.
Moritz Schönherr, Carsten Lutz
2026Long-form RewardBench: Evaluating Reward Models for Long-form Generation.
Hui Huang, Yancheng He, Wei Liu, Muyun Yang, Jiaheng Liu, Kehai Chen, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao
2026LongLLaDA: Unlocking Long Context Capabilities in Diffusion LLMs.
Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2026LongSplat: Online Generalizable 3D Gaussian Splatting from Long Sequence Images.
Guichen Huang, Ruoyu Wang, Xiangjun Gao, Che Sun, Yuwei Wu, Shenghua Gao, Yunde Jia
2026LongT2IBench: A Benchmark for Evaluating Long Text-to-Image Generation with Graph-structured Annotations.
Zhichao Yang, Tianjiao Gu, Jianjie Wang, Feiyu Lin, Xiangfei Sheng, Pengfei Chen, Leida Li
2026Look Closer! An Adversarial Parametric Editing Framework for Hallucination Mitigation in VLMs.
Jiayu Hu, Beibei Li, Jiangwei Xia, Yanjun Qin, Bing Ji, Zhongshi He
2026Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning.
Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen
2026Look-Back: Implicit Visual Re-focusing in MLLM Reasoning.
Shuo Yang, Yuwei Niu, Yuyang Liu, Yang Ye, Bin Lin, Li Yuan
2026LookFlow: Training-Free and Efficient High-Resolution Image Synthesis via Dynamic Lookahead Guidance Flow.
Yuan Zhou, Yan Zhang, Jianlong Chang, Xin Gu, Ying Wang, Kun Ding, Guangwen Yang, Shiming Xiang
2026LoopLLM: Transferable Energy-Latency Attacks in LLMs via Repetitive Generation.
Xingyu Li, Xiaolei Liu, Cheng Liu, Yixiao Xu, Kangyi Ding, Bangzhou Xin, Jia-Li Yin
2026Loss-Guided Auxiliary Agents for Overcoming Mode Collapse in GFlowNets.
Idriss Malek, Aya Laajil, Abhijith Sharma, Eric Moulines, Salem Lahlou
2026Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory.
Hongli Zhou, Hui Huang, Ziqing Zhao, Lvyuan Han, Huicheng Wang, Kehai Chen, Muyun Yang, Wei Bao, Jian Dong, Bing Xu, Conghui Zhu, Hailong Cao, Tiejun Zhao
2026Lost in Time? A Meta-Learning Framework for Time-Shift-Tolerant Physiological Signal Transformation.
Qian Hong, Cheng Bian, Xiao Zhou, Xiaoyu Li, Yelei Li, Zijing Zeng
2026Low-Rank Curvature for Zeroth-Order Optimization in LLM Fine-tuning.
Hyunseok Seung, Jaewoo Lee, Hyunsuk Ko
2026LowRank-CAM: A Computationally Efficient and Interpretable Framework for Medical Image Analysis (Student Abstract).
Gokaramaiah Thota, K. Nagaraju, Korra Sathya Babu
2026LungNoduleAgent: A Collaborative Multi-Agent System for Precision Diagnosis of Lung Nodules.
Cheng Yang, Hui Jin, Xinlei Yu, Zhipeng Wang, Yaoqun Liu, Fenglei Fan, Dajiang Lei, Gangyong Jia, Changmiao Wang, Ruiquan Ge
2026M-Loss: Quantifying Model Merging Compatibility with Limited Unlabeled Data.
Tiantong Wang, Yiyang Duan, Haoyu Chen, Tiantong Wu, Wei Yang Bryan Lim
2026M2FMoE: Multi-Resolution Multi-View Frequency Mixture-of-Experts for Extreme-Adaptive Time Series Forecasting.
Yaohui Huang, Runmin Zou, Yun Wang, Laeeq Aslam, Ruipeng Dong
2026M2I2: Learning Efficient Multi-Agent Communication via Masked State Modeling and Intention Inference.
Chuxiong Sun, Peng He, Qirui Ji, Zehua Zang, Jiangmeng Li, Rui Wang, Wei Wang
2026M3SR: Multi-Scale Multi-Perceptual Mamba for Efficient Spectral Reconstruction.
Yuze Zhang, Lingjie Li, Qiuzhen Lin, Zhong Ming, Fei Yu, Victor C. M. Leung
2026M3Time: LLM-Enhanced Multi-Modal, Multi-Scale, and Multi-Frequency Multivariate Time Series Forecasting.
Shuning Jia, Baijun Song, Canming Ye, Chun Yuan
2026M3UCD: A Multi-task Multimodal Metaphor Understanding Challenge Dataset for LLMs.
Tianlong Zheng, Yating Yang, Rui Dong, Bo Ma, Lei Wang, Xi Zhou, Siru Miao, Osman Turghun
2026M3ashy: Multi-Modal Material Synthesis via Hyperdiffusion.
Chenliang Zhou, Zheyuan Hu, Alejandro Sztrajman, Yancheng Cai, Yaru Liu, Cengiz Öztireli
2026MACRec: A Multi-View Subspace Alignment Framework for Contrastive Sampling Calibration in Recommendation.
Junping Liu, Mingchao Yu, Xinrong Hu, Rui Yan, Wanqing Li, Jie Yang, Yi Guo
2026MACS: Multi-source Audio-to-image Generation with Contextual Significance and Semantic Alignment.
Hao Zhou, Xiaobao Guo, Yuzhe Zhu, Adams Wai-Kin Kong
2026MACoT: Synthesizing Chains of Thought for Small Models via Multi-Agent Collaboration.
Guokai Tang, Feng Zhao
2026MAFA: A Multi-Agent Framework for Enterprise-Scale Annotation with Configurable Task Adaptation.
Mahmood Hegazy, Aaron Rodrigues, Azzam Naeem
2026MAGIC VFM-Meta-Learning Adaptation for Ground Interaction Control with Visual Foundation Models (Abstract Reprint).
Elena-Sorina Lupu, Fengze Xie, James A. Preiss, Jedidiah Alindogan, Matthew Anderson, Soon-Jo Chung
2026MAGIC: Mastering Physical Adversarial Generation in Context Through Collaborative LLM Agents.
Yun Xing, Nhat Chung, Jie Zhang, Yue Cao, Ivor W. Tsang, Yang Liu, Lei Ma, Qing Guo
2026MAGIC: Multi-Agent Argumentation and Grammar Integrated Critiquer.
Joaquín Jordán, Xavier Yin, Melissa Fabros, Gireeja Ranade, Narges Norouzi
2026MAISI-v2: Accelerated 3D High-Resolution Medical Image Synthesis with Rectified Flow and Region-specific Contrastive Loss.
Can Zhao, Pengfei Guo, Dong Yang, Yufan He, Yucheng Tang, Benjamin Simon, Mason Belue, Stephanie A. Harmon, Baris Turkbey, Daguang Xu
2026MAJIC: Markovian Adaptive Jailbreaking via Iterative Composition of Diverse Innovative Strategies.
Weiwei Qi, Shuo Shao, Wei Gu, Tianhang Zheng, Puning Zhao, Zhan Qin, Kui Ren
2026MAMA-Memeia! Multi-Aspect Multi-Agent Collaboration for Depressive Symptoms Identification in Memes.
Siddhant Agarwal, Adya Dhuler, Polly Ruhnke, Melvin Speisman, Md. Shad Akhtar, Shweta Yadav
2026MAPI-GNN: Multi-Activation Plane Interaction Graph Neural Network for Multimodal Medical Diagnosis.
Ziwei Qin, Xuhui Song, Deqing Huang, Na Qin, Jun Li
2026MAPS: Multi-Agent Personality Shaping for Collaborative Reasoning.
Jian Zhang, Zhiyuan Wang, Zhangqi Wang, Fangzhi Xu, Qika Lin, Lingling Zhang, Rui Mao, Erik Cambria, Jun Liu
2026MARE: Multimodal Analogical Reasoning for Disease Evolution-Aware Radiology Report Generation.
Qingqing Gao, Tengfei Liu, Xiaoyan Li, Xiaodan Zhang, Zhongfan Sun, Boyue Wang, Baocai Yin, Zhaohui Liu
2026MARLIN: Multi-Agent Reinforcement Learning for Incremental DAG Discovery.
Dong Li, Zhengzhang Chen, Xujiang Zhao, Linlin Yu, Zhong Chen, Yi He, Haifeng Chen, Chen Zhao
2026MARPO: A Reflective Policy Optimization for Multi-Agent Reinforcement Learning.
Cuiling Wu, Yaozhong Gan, Junliang Xing, Ying Fu
2026MARS: A Meta-Adaptive Reinforcement Learning Framework for Risk-Aware Multi-Agent Portfolio Management.
Jiayi Chen, Jing Li, Guiling Wang
2026MARS: Multi-Agent Adaptive Reasoning with Socratic Guidance for Automated Prompt Optimization.
Jian Zhang, Zhangqi Wang, Haiping Zhu, Kangda Cheng, Kai He, Bo Li, Qika Lin, Jun Liu, Erik Cambria
2026MARS: Multimodal Adaptive Reasoning Model for Avoiding Overthinking.
Tan Yue, Qiong Wu, Dongyan Zhao
2026MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning In Vision-Language Models.
Sangeun Lee, Yubeen Lee, Eunil Park, Wonseok Chae
2026MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation.
Zhuonan Wang, Zhenxuan Fan, Siwen Tan, Yu Zhong, Yuqian Yuan, Haoyuan Li, Hao Jiang, Wenqiao Zhang, Feifei Shao, Hongwei Wang, Jun Xiao
2026MAUGen: A Unified Diffusion Approach for Multi-Identity Facial Expression and AU Label Generation.
Xiangdong Li, Ye Lou, Ao Gao, Wei Zhang, Siyang Song
2026MAVERIX: Multimodal Audio-Visual Evaluation and Recognition IndeX.
Liuyue Xie, Avik Kuthiala, George Z. Wei, Ce Zheng, Ananya Bal, Mosam Dabhi, Liting Wen, Taru Rustagi, Ethan Lai, Sushil Khyalia, Rohan Choudhury, Morteza Ziyadi, Xu Zhang, Hao Yang, László A. Jeni
2026MAVIS: A Benchmark for Multimodal Source Attribution in Long-form Visual Question Answering.
Seokwon Song, Minsu Park, Gunhee Kim
2026MCA-Bench: A Multimodal Benchmark for Evaluating CAPTCHA Robustness Against VLM-based Attacks.
Zonglin Wu, Yule Xue, Yaoyao Feng, Xiaolong Wang, Yiren Song
2026MCGS: Markov Chain Gaussian Splatting for Dynamic Scenes Reconstruction.
Yuzhong Wang, Wenmin Wang, Shixiong Zhang, Xinxing Yu, Zhongheng Chen
2026MCI-Net: A Robust Multi-Domain Context Integration Network for Point Cloud Registration.
Shuyuan Lin, Wenwu Peng, Junjie Huang, Qiang Qi, Miaohui Wang, Jian Weng
2026MCIE: Multimodal LLM-Driven Complex Instruction Image Editing with Spatial Guidance.
Xuehai Bai, Xiaoling Gu, Akide Liu, Hangjie Yuan, Yifan Zhang, Jack Ma
2026MCMoE: Completing Missing Modalities with Mixture of Experts for Incomplete Multimodal Action Quality Assessment.
Huangbiao Xu, Huanqi Wu, Xiao Ke, Junyi Wu, Rui Xu, Jinglin Xu
2026MCP-AgentBench: Evaluating Real-World Language Agent Performance with MCP-Mediated Tools.
Zikang Guo, Benfeng Xu, Chiwei Zhu, Wentao Hong, Xiaorui Wang, Zhendong Mao
2026MCPTox: A Benchmark for Tool Poisoning on Real-World MCP Servers.
Zhiqiang Wang, Yichao Gao, Yanting Wang, Suyuan Liu, Haifeng Sun, Haoran Cheng, Guanquan Shi, Haohua Du, Xiangyang Li
2026MCTS-SQL: Light-Weight LLMs Can Master the Text-to-SQL Through Monte Carlo Tree Search.
Shuozhi Yuan, Liming Chen, Miaomiao Yuan, Jin Zhao
2026MCTSr-Zero: Self-Reflective Psychological Counseling Dialogues Generation via Principles and Adaptive Exploration.
Hao Lu, Yanchi Gu, Haoyuan Huang, Yulin Zhou, Ningxin Zhu, Chen Li
2026MCW-KD: Multi-Cost Wasserstein Knowledge Distillation for Large Language Models.
Hoang Tran Vuong, Tue Le, Quyen Tran, Linh Ngo Van, Trung Le
2026MDBench: Benchmarking Data-Driven Methods for Model Discovery.
Amirmohammad Ziaei Bideh, Aleksandra Georgievska, Jonathan Gryak
2026MDF: A Modality-Aware Disentanglement and Fusion Framework for Multimodal Sentiment Analysis.
Zhongquan Jian, Wenhan Lv, Yanhao Chen, Guanran Luo, Wentao Qiu, Shaopan Wang, Bingbing Hu, Qingqiang Wu
2026MDK12-Bench: A Multi-Discipline Benchmark for Evaluating Reasoning in Multimodal Large Language Models.
Pengfei Zhou, Xiaopeng Peng, Fanrui Zhang, Zhaopan Xu, Jiaxin Ai, Yansheng Qiu, Wangbo Zhao, Jiajun Song, Chuanhao Li, Weidong Tang, Zhen Li, Haoquan Zhang, Zizhen Li, Xiaofeng Mao, Yukang Feng, Jianwen Sun, Kai Wang, Xiaojun Chang, Wenqi Shao, Yang You, Kaipeng Zhang
2026MDMLP-EIA: Multi-domain Dynamic MLPs with Energy Invariant Attention for Time Series Forecasting.
Hu Zhang, Zhien Dai, Zhaohui Tang, Yongfang Xie
2026MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence.
Qinsong Li, Jing Meng, Haibo Wang, Shengjun Liu
2026MDiff4STR: Mask Diffusion Model for Scene Text Recognition.
Yongkun Du, Miaomiao Zhao, Songlin Fan, Zhineng Chen, Caiyan Jia, Yu-Gang Jiang
2026ME-SFDA: Marginal Exploration with Pyramidal Atkinson-Shiffrin Memory for Source-Free Domain Adaptation.
Chunzhi Liu, Yuwu Lu
2026MEML-GRPO: Heterogeneous Multi-Expert Mutual Learning for RLVR Advancement.
Weitao Jia, Jinghui Lu, Haiyang Yu, Siqi Wang, Guozhi Tang, An-Lan Wang, Weijie Yin, Dingkang Yang, Yuxiang Nie, Bin Shan, Hao Feng, Irene Li, Kun Yang, Han Wang, Jingqun Tang, Teng Fu, Changhong Jin, Chao Feng, Xiaohui Lv, Can Huang
2026METP: Multi-Granularity Integration of External Covariates for Temporal Point Processes.
Boyang Li, Lingzheng Zhang, Fugee Tsung, Xi Zhang
2026MF-Speech: Achieving Fine-Grained and Compositional Control in Speech Generation via Factor Disentanglement.
Xinyue Yu, Youqing Fang, Pingyu Wu, Guoyang Ye, Wenbo Zhou, Weiming Zhang, Song Xiao
2026MFINet: Multi-view Fusion and 2D-3D Interaction Enhancement for Real-Time LiDAR Semantic Segmentation.
Nan Ma, Zhijie Liu, Yiheng Han
2026MFmamba: A Multi-function Network for Panchromatic Image Resolution Restoration Based on State-Space Model.
Qian Jiang, Qianqian Wang, Xin Jin, Michal Wozniak, Shaowen Yao, Wei Zhou
2026MGD: Mesh-guided Gaussians with Diffusion Priors for Dynamic Objects Reconstruction from Monocular RGB-D Video.
Weixing Xie, Ying Ye, Xian Wu, Jintian Li, Bingchuan Li, Yanchen Lin, Junfeng Yao
2026MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.
Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao
2026MHA2MLA-VLM: Enabling DeepSeek's Economical Multi-Head Latent Attention Across Vision-Language Models.
Xiaoran Fan, Zhichao Sun, Tao Ji, Lixing Shen, Tao Gui
2026MHB: Medical Hallucination Benchmark for Large Language Models in Complex Clinical Tasks.
Jianrong Lu, Junwei Liu, Xingyun Zheng, Minghui Yang, Jian Wang, Ping Wang, Yechao Zhang
2026MHED-SLAM: Multi-Scale Hybrid Encoding-Based Decoupled SLAM.
Dengfang Feng, Wenyang Qin, Zhongchen Shi, Wei Chen, Yanhui Duan, Liang Xie, Erwei Yin
2026MIDB: Multilingual Instruction Data Booster for Enhancing Cultural Equality in Multilingual Instruction Synthesis.
Yilun Liu, Chunguang Zhao, Xinhua Yang, Hongyong Zeng, Shimin Tao, Weibin Meng, Minggui He, Yan Yu, Hongxia Ma, Li Zhang, Daimeng Wei, Boxing Chen
2026MIDILM: A Dual-Path Model for Controllable Text-to-MIDI Generation.
Shuyu Li, Dooho Choi, Yunsick Sung
2026MIGDiff: Multi-attributes Imputations for Attribute-missing Graphs via Graph Denoising Diffusion Model.
Ye Liu, Yang Chen, Hongmin Cai
2026MINGLE: VLMs for Semantically Complex Region Detection in Urban Scenes.
Liu Liu, Alexandra Schild, Marco Cipriano, Fatimeh Al Ghannam, Freya Tan, Gerard de Melo, Andres Sevtsuk
2026MIRA: Evaluating Multimodal AI on Complex Clinical Reasoning in Interventional Radiology.
Jingxiong Li, Chenglu Zhu, Sunyi Zheng, Yuxuan Sun, Yifei Wang, He Liu, Yunlong Zhang, Yixuan Si, Lin Yang, Liang Xiao
2026MIRAGE: Scaling Test-Time Inference with Parallel Graph-Retrieval-Augmented Reasoning Chains.
Kaiwen Wei, Rui Shan, Dongsheng Zou, Jianzhong Yang, Bi Zhao, Junnan Zhu, Jiang Zhong
2026MIRAGE: Towards AI-Generated Image Detection in the Wild.
Oucheng Huang, Manxi Lin, Jiexiang Tan, Xiaoxiong Du, Yang Qiu, Junjun Zheng, Xiangheng Kong, Yuning Jiang, Bo Zheng
2026MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging.
Shufeng Kong, Zijie Wang, Nuan Cui, Hao Tang, Yihan Meng, Yuanyuan Wei, Feifan Chen, Yingheng Wang, Zhuo Cai, Yaonan Wang, Yulong Zhang, Yuzheng Li, Zibin Zheng, Caihua Liu, Hao Liang
2026MISF: MLLM Guided Iterative Sample Filtering for Data Fault Detection.
Guoying Chen, Ruizhuo Zhao, Zhewei Xu, Bo Yang, Kunlong Wang
2026MLLM Enriched Explainable Multiple Clustering.
Shan Zhang, Liangrui Ren, Qiaoyu Tan, Carlotta Domeniconi, Wei Du, Jun Wang, Guoxian Yu
2026MM-R1: Unleashing the Power of Unified Multimodal Large Language Models for Personalized Image Generation.
Qian Liang, Yujia Wu, Kuncheng Li, Jiwei Wei, Shiyuan He, Jinyu Guo, Ning Xie
2026MM4Rec: Multi-Source and Multi-Scenario Recommender for Unified User Preference.
Chu-Chun Yu, Ming-Yi Hong, Miao-Chen Chiang, Min-Chen Hsieh, Che Lin
2026MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence.
Sonal Kumar, Simon Sedlácek, Vaibhavi Lokegaonkar, Fernando López, Wenyi Yu, Nishit Anand, Hyeonggon Ryu, Lichang Chen, Maxim Plicka, Miroslav Hlavácek, William Fineas Ellingwood, Sathvik Udupa, Siyuan Hou, Allison Ferner, Sara Barahona, Cecilia Bolaños, Satish Rahi, Laura Herrera-Alarcón, Satvik Dixit, Rupali S. Patil, Soham Deshmukh, Lasha Koroshinadze, Yao Liu, Leibny Paola García-Perera, Eleni Zanou, Themos Stafylakis, Joon Son Chung, David Harwath, Chao Zhang, Dinesh Manocha, Alicia Lozano-Diez, Santosh Kesiraju, Sreyan Ghosh, Ramani Duraiswami
2026MMBERT: Scaled Mixture-of-Experts Multimodal BERT for Robust Chinese Hate Speech Detection Under Cloaking Perturbations.
Qiyao Xue, Yuchen Dou, Zheyuan Ryan Shi, Xiang Lorraine Li, Wei Gao
2026MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models.
Jiacheng Ruan, Dan Jiang, Xian Gao, Ting Liu, Yuzhuo Fu, Yangyang Kang
2026MMG-VL: A Vision-Language Driven Approach for Multi-Person Motion Generation.
Songyuan Yang, Wanrong Huang, Yinuo Liu, Kedi Zhang, Xihuai He, Shaowu Yang, Huibin Tan
2026MMG-Vid: Maximizing Marginal Gains at Segment-level and Token-level for Efficient Video LLMs.
Junpeng Ma, Qizhe Zhang, Ming Lu, Zhibin Wang, Qiang Zhou, Jun Song, Shanghang Zhang
2026MMIFEvol: Towards Evolutionary Multimodal Instruction Following.
Haoyu Wang, Sihang Jiang, Xiangru Zhu, Yuyan Chen, Xiaojun Meng, Jiansheng Wei, Yitong Wang, Yanghua Xiao
2026MMMamba: A Versatile Cross-Modal in Context Fusion Framework for Pan-Sharpening and Zero-Shot Image Enhancement.
Yingying Wang, Xuanhua He, Chen Wu, Jialing Huang, Suiyun Zhang, Rui Liu, Xinghao Ding, Haoxuan Che
2026MMPG: MoE-based Adaptive Multi-Perspective Graph Fusion for Protein Representation Learning.
Yusong Wang, Jialun Shen, Zhihao Wu, Yicheng Xu, Shiyin Tan, Mingkun Xu, Changshuo Wang, Zixing Song, Prayag Tiwari
2026MMRAG-RFT: Two-stage Reinforcement Fine-tuning for Explainable Multi-modal Retrieval-augmented Generation.
Shengwei Zhao, Jingwen Yao, Sitong Wei, Linhai Xu, Yuying Liu, Dong Zhang, Zhiqiang Tian, Shaoyi Du
2026MMhops-R1: Multimodal Multi-hop Reasoning.
Tao Zhang, Ziqi Zhang, Zongyang Ma, Yuxin Chen, Bing Li, Chunfeng Yuan, Guangting Wang, Fengyun Rao, Ying Shan, Weiming Hu
2026MOBA: A Material-Oriented Backdoor Attack Against LiDAR-Based 3D Object Detection Systems.
Saket Sanjeev Chaturvedi, Gaurav Bagwe, Lan Emily Zhang, Pan He, Xiaoyong Yuan
2026MODA: The First Challenging Benchmark for Multispectral Object Detection in Aerial Images.
Shuaihao Han, Tingfa Xu, Peifu Liu, Jianan Li
2026MOGO: Residual Quantized Hierarchical Causal Transformer for Real-Time and Infinite-Length 3D Human Motion Generation.
Dongjie Fu, Tengjiao Sun, Pengcheng Fang, Xiaohao Cai, Hansung Kim
2026MORGAN: To Bridge Mixture of Experts and Spectral Graph Neural Network.
Lihui Liu, Yuchen Yan
2026MOTIF: Multi-strategy Optimization via Turn-based Interactive Framework.
Nguyen Viet Tuan Kiet, Tung Dao, Cong Dao Tran, Huynh Thi Thanh Binh
2026MP-ISMoE: Mixed-Precision Interactive Side Mixture-of-Experts for Efficient Transfer Learning.
Yutong Zhang, Zimeng Wu, Shengcai Liao, Shujiang Wu, Jiaxin Chen
2026MP1: MeanFlow Tames Policy Learning in 1-step for Robotic Manipulation.
Juyi Sheng, Ziyi Wang, Peiming Li, Mengyuan Liu
2026MPA: Multimodal Prototype Augmentation for Few-Shot Learning.
Liwen Wu, Wei Wang, Lei Zhao, Zhan Gao, Qika Lin, Shaowen Yao, Zuozhu Liu, Bin Pu
2026MPAS: Breaking Sequential Constraints of Multi-Agent Communication Topologies via Individual-Epistemic Message Propagation.
Jingxuan Yu, Ju Jia, Simeng Qin, Xiaojun Jia, Siqi Ma, Yihao Huang, Yali Yuan, Guang Cheng
2026MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization.
Runhao Jiang, Chengzhi Jiang, Rui Yan, Huajin Tang
2026MPI-Mamba: Latent Feature Fusion Mamba for Anisotropic Image Calibration and Deblurring in Magnetic Particle Imaging.
Liwen Zhang, Zhaoji Miao, Yusong Shen, Zechen Wei, Hui Hui, Jie Tian
2026MPJudge: Towards Perceptual Assessment of Music-Induced Paintings.
Shiqi Jiang, Tianyi Liang, Huayuan Ye, Changbo Wang, Chenhui Li
2026MPMA: Preference Manipulation Attack Against Model Context Protocol.
Zihan Wang, Rui Zhang, Yu Liu, Wenshu Fan, Wenbo Jiang, Qingchuan Zhao, Hongwei Li, Guowen Xu
2026MR-COSMO: Visual-Text Memory Recall and Direct CrOSs-MOdal Alignment Method for Query-Driven 3D Segmentation.
Chade Li, Pengju Zhang, Yihong Wu
2026MRACL: Multi-Reward Space Guided Adaptive Curriculum Reinforcement Learning for LLMs.
Wenxuan Liu, Liangyu Huo, Yi Jing, Xiyuan Zhang, Jian Xie
2026MRGeo: Robust Cross-View Geo-Localization of Corrupted Images via Spatial and Channel Feature Enhancement.
Le Wu, Bo Lv, Songsong Ouyang, Yingying Zhu
2026MRT: Learning Compact Representations with Mixed RWKV-Transformer for Extreme Image Compression.
Han Liu, Hengyu Man, Xingtao Wang, Wenrui Li, Debin Zhao
2026MS-PPO: Mean Standard Deviation Proximal Policy Optimization for Reliable Parking Space Search in Structured Environments.
Haoming Chen, Hongliang Guo
2026MSAT-LDM: Toward Transferable High-Fidelity Watermarking for Latent Diffusion Model via Modular Self-Augmented Training.
Lu Zhang, Liang Zeng
2026MSAnchor: De Novo Molecular Generation from Mass Spectrometry Data with Anchor-Extended Molecular Scaffolds.
Xiaohan Qin, Chao Wang, Zhengyang Zhou, Linjiang Chen, Wenjie Du, Yang Wang
2026MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift.
Yang Xu, Xiaowei Wu, Zifeng Xu, Cheng Zhang, Ju Ren, Yaoxue Zhang
2026MSME: A Multi-Stage Multi-Expert Framework for Zero-Shot Stance Detection.
Yuanshuo Zhang, Aohua Li, Bo Chen, Jingbo Sun, Xiaobing Zhao
2026MSPCaps: A Multi-Scale Patchify Capsule Network with Cross-Agreement Routing for Visual Recognition.
Yudong Hu, Yueju Han, Rui Sun, Jinke Ren
2026MSR-Rec: Multi-Step Reasoning-Enhanced LLM for Sequential Recommendation.
Tuo Wang, Meng Jian, Ge Shi, Lifang Wu, Yashen Wang
2026MSTDiff: Multiscale-Aware Transformer Diffusion Network for Video Object Detection.
Qiang Qi, Wenqi Shang, Xiao Wang, Yanjie Liang, Shuyuan Lin
2026MTAttack: Multi-Target Backdoor Attacks Against Large Vision-Language Models.
Zihan Wang, Guansong Pang, Wenjun Miao, Jin Zheng, Xiao Bai
2026MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion.
Haolong Xiang, Peisi Wang, Xiaolong Xu, Kun Yi, Xuyun Zhang, Quan Z. Sheng, Amin Beheshti, Wei Fan
2026MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping.
Wenjia Meng, Teng Zhang, Haoliang Sun, Yilong Yin
2026MUG: Meta-path-aware Universal Heterogeneous Graph Pre-Training.
Lianze Shan, Jitao Zhao, Dongxiao He, Yongqi Huang, Zhiyong Feng, Weixiong Zhang
2026MULTIBENCH++: A Unified and Comprehensive Multimodal Fusion Benchmarking Across Specialized Domains.
Leyan Xue, Changqing Zhang, Kecheng Xue, Xiaohong Liu, Guangyu Wang, Zongbo Han
2026MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification.
Zijiang Yang, Hanqing Chao, Bokai Zhao, Yelin Yang, Yunshuo Zhang, Dongmei Fu, Junping Zhang, Le Lu, Ke Yan, Dakai Jin, Minfeng Xu, Yun Bian, Hui Jiang
2026MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal-Based Driver Fatigue Detection.
Jiaheng Wang, Yuan Si, Ang Li, Zhenyu Wang, Tianheng Xu, Honglin Hu
2026MUTrack: A Memory-Aware Unified Representation Framework for Visual Tracking.
Weijing Wu, Qihua Liang, Bineng Zhong, Xiaohu Tang, Yufei Tan, Ning Li, Yuanliang Xue
2026MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract).
Minkyung Song, Soyoung Park, Sungsu Lim
2026MVGD-Net: A Novel Motion-aware Video Glass Surface Detection Method.
Yiwei Lu, Hao Huang, Tao Yan
2026MaRS: A Multi-modality Very-high-resolution Remote Sensing Foundation Model with Cross-Granularity Meta-Modality Learning.
Ruoyu Yang, Yinhe Liu, Heng Yan, Yiheng Zhou, Yihan Fu, Han Luo, Yanfei Zhong
2026MacPrompt: Maraconic-Guided Jailbreak Against Text-to-Image Models.
Xi Ye, Yiwen Liu, Lina Wang, Run Wang, Geying Yang, Yufei Hou, Jiayi Yu
2026MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering.
Zhifei Li, Yiran Wang, Chenyi Xiong, Yujing Xia, Xiaoju Hou, Yue Zhao, Miao Zhang, Kui Xiao, Bing Yang
2026Machine Learning Models Assisting the Development of Antibody Therapeutics and Vaccines - an Emerging Trend.
Felipe Leno da Silva, Mikel Landajuela, Edwin A. Saada, Piyush Karande, Sudeep Sarma, Igor D'Angelo, Simone Conti, Daniel M. Faissol
2026Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India.
Ando Shah, Rajveer Singh, Akram Zaytar, Girmaw Abebe Tadesse, Caleb Robinson, Negar Tafti, Stephen A. Wood, Rahul Dodhia, Juan M. Lavista Ferres
2026Machine Pareidolia: Protecting Facial Image with Emotional Editing.
Binh M. Le, Simon S. Woo
2026MagicPaint: Operate Anything for Image Inpainting with Diffusion Model.
Qinhong Yang, Dongdong Chen, Qi Chu, Tao Gong, Qiankun Liu, Zhentao Tan, Xulin Li, Huamin Feng, Nenghai Yu
2026Magnitude-Modulated Equivariant Adapter for Parameter-Efficient Fine-Tuning of Equivariant Graph Neural Networks.
Dian Jin, Yancheng Yuan, Xiaoming Tao
2026Magnol.AI Copilot: Multimodal LLMs for Conversational Insight Generation.
Hui Zhang, Guangchen Ruan, Hui Xiao
2026Make Foundation Models Trustworthy Again: Causal Fine-Adaptation for Medical Image Segmentation.
Hongpeng Yang, Yingxin Chen, Shiqiang Ma, Fei Guo
2026Make LVLMs Focus: Context-Aware Attention Modulation for Better Multimodal In-Context Learning.
Yanshu Li, Jianjiang Yang, Ziteng Yang, Bozheng Li, Ligong Han, Hongyang He, Zhengtao Yao, Yingjie Victor Chen, Songlin Fei, Dongfang Liu, Ruixiang Tang
2026Make Model Transparent: Brain Network Analysis via Causal and Knowledge Graph Learning.
Lingyuan Meng, Ke Liang, Hao Yu, Haotian Wang, Miaomiao Li, Xinwang Liu
2026Makespan Investigations of Sequential, Parallel, PO, and POCL Plans.
Harrison Oates, Pascal Bercher
2026Making Every Head Count: Sparse Attention Without the Speed-Performance Trade-off.
Mingkuan Zhao, Wentao Hu, Jiayin Wang, Xin Lai, Tianchen Huang, Yuheng Min, Rui Yan, Xiaoyan Zhu
2026Making Sense of LLM Decisions: A Prototype-based Framework for Explainable Classification.
Bowen Wei, Mehrdad Fazli, Ziwei Zhu
2026Making Visual Dialogue More Engaging: A New Task, Method, and Metric.
Guanghui Ye, Huan Zhao, Yingxue Gao, Zhixue Zhao, Kehan Wang, Xupeng Zha, Zhihua Jiang
2026Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling.
Yuanyang Zhang, Xinhang Wan, Chao Zhang, Jie Xu, Cunjian Chen, Tien-Tsin Wong, Li Yao, Yijie Lin
2026MambaOVSR: Multiscale Fusion with Global Motion Modeling for Chinese Opera Video Super-Resolution.
Hua Chang, Xin Xu, Wei Liu, Wei Wang, Xin Yuan, Kui Jiang
2026MambaSeg: Harnessing Mamba for Accurate and Efficient Image-Event Semantic Segmentation.
Fuqiang Gu, Yuanke Li, Xianlei Long, Kangping Ji, Chao Chen, Qingyi Gu, Zhenliang Ni
2026Managing Infinite Abstractions in Numeric Pattern Database Heuristics.
Markus Fritzsche, Daniel Gnad, Mikhail Gruntov, Alexander Shleyfman
2026ManiLong-Shot: Interaction-Aware One-Shot Imitation Learning for Long-Horizon Manipulation.
Zixuan Chen, Chongkai Gao, Lin Shao, Jieqi Shi, Jing Huo, Yang Gao
2026Maniflat3D: Learning 3D Geometry Through Planar Representations from Multi-Layer Unwrapping.
Zijian Cao, Dayou Zhang, Zeyuan Liu, Zhicheng Liang, Fangxin Wang
2026ManipDreamer3D: Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D Trajectory.
Ying Li, Xiaobao Wei, Xiaowei Chi, Yuming Li, Zhongyu Zhao, Hao Wang, Ningning Ma, Ming Lu, Sirui Han
2026ManipLVM-R1: Reinforcement Learning for Reasoning in Embodied Manipulation with Large Vision-Language Models.
Zirui Song, Guangxian Ouyang, Mingzhe Li, Yuheng Ji, Chenxi Wang, Zixiang Xu, Zeyu Zhang, Xiaoqing Zhang, Qian Jiang, Fengxian Ji, Zhenhao Chen, Zhongzhi Li, Xiuying Chen
2026Manipulating the Mind's Eye: A-SAGE, the Attention-Based Attack on ViT Explainability.
Boshi Zheng, Yan Li, Jiabin Liu
2026Manipulation Intention Understanding for Zero-Shot Composed Image Retrieval.
Yuanmin Tang, Jing Yu, Keke Gai, Gang Xiong, Gaopeng Gou, Meikang Qiu, Qi Wu
2026Many Minds, One Path: LLM-Augmented Consensus Decision for Distributed Control in Multi-Agent Collaborative Stable Scenarios.
Zhuohao Yu, Zhe Li, Tao Ren, Chenxue Wang, Junjie Wang, Qing Wang
2026Mapping on a Budget: Optimizing Spatial Data Collection for ML.
Livia Betti, Farooq Sanni, Gnouyaro Sogoyou, Togbe Agbagla, Cullen Molitor, Tamma Carleton, Esther Rolf
2026Margin-Aware Preference Optimization for Aligning Diffusion Models Without Reference.
Jiwoo Hong, Sayak Paul, Noah Lee, Kashif Rasul, James Thorne, Jongheon Jeong
2026Marginalized Generalized IoU (MGIoU): A Unified Objective Function for Optimizing Convex Parametric Shapes.
Duy-Tho Le, Trung Pham, Jianfei Cai, Hamid Rezatofighi
2026Market-Aware Event Timeline Summarization: Integrating Price Signals to Improve Financial News Understanding.
Heesoo Park, Sujin Park, Dongjun Lee
2026MartDE: A Privacy-Preserving and Cost-Efficient Evaluation Framework for Data Marketplaces.
Xinyuan Qian, Haoyong Wang, Hangcheng Cao, Shuai Yuan, Senkang Hu, Qingchuan Zhao, Hongwei Li, Guowen Xu
2026Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering.
Zexi Tan, Xiaopeng Luo, Yunlin Liu, Yiqun Zhang
2026Mask2IV: Interaction-Centric Video Generation via Mask Trajectories.
Gen Li, Bo Zhao, Jianfei Yang, Laura Sevilla-Lara
2026MaskAD: Parallel Masked Autoencoder for Multi-class Unsupervised Anomaly Detection.
Ruiying Lu, Gang Liu, Kang Li, Long Tian, Junwei Zhang
2026MaskAnyNet: Rethinking Masked Image Regions as Valuable Information in Supervised Learning.
Jingshan Hong, Haigen Hu, Huihuang Zhang, Qianwei Zhou, Li Zhao
2026Masked Clustering Prediction for Unsupervised Point Cloud Pre-training.
Bin Ren, Xiaoshui Huang, Mengyuan Liu, Hong Liu, Fabio Poiesi, Nicu Sebe, Guofeng Mei
2026Masked Mineral Modeling: Continent-Scale Mineral Prospecting via Geospatial Infilling.
Sujay Nair, Evan Austen Coleman, Sherrie Wang, Elsa Olivetti
2026Mass Concept Erasure in Diffusion Models with Concept Hierarchy.
Jiahang Tu, Ye Li, Yiming Wu, Hanbin Zhao, Chao Zhang, Hui Qian
2026Massively Parallel Proof-Number Search for Impartial Games and Beyond.
Tomás Cízek, Martin Balko, Martin Schmid
2026Matching Policy Design for Gig Platforms with "Priority" Features.
Evan Yifan Xu, Pan Xu
2026MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning.
Jinhao Chen, Zhen Yang, Jianxin Shi, Tianyu Wo, Jie Tang
2026MathSmith: Towards Extremely Hard Mathematical Reasoning by Forging Synthetic Problems with a Reinforced Policy.
Shaoxiong Zhan, Yanlin Lai, Ziyu Lu, Dahua Lin, Ziqing Yang, Fei Tan
2026Matrix Editing Meets Fair Clustering: Parameterized Algorithms and Complexity.
Robert Ganian, Hung P. Hoang, Simon Wietheger
2026Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation.
Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim Rakhuba
2026Maximizing Schatten-p Norm Regularization Toward Balance.
Fangfang Li, Quanxue Gao, Yapeng Wang, Yu Duan, Yuzhuo Feng, Qin Li
2026MdaIF: Robust One-Stop Multi-Degradation-Aware Image Fusion with Language-Driven Semantics.
Jing Li, Yifan Wang, Jiafeng Yan, Renlong Zhang, Bin Yang
2026Measuring Model Performance in the Presence of an Intervention.
Winston Chen, Michael W. Sjoding, Jenna Wiens
2026Measuring What Matters: Scenario-Driven Evaluation for Trajectory Predictors in Autonomous Driving.
Longchao Da, David Isele, Hua Wei, Manish Saroya
2026Measuring the Unmeasurable: Unveiling Latent Cognitive Capabilities of LLM.
Cui Danxin, Sihang Jiang, Keyi Wang, Zhiyi Duan, Yanghua Xiao, Bi Yude, Jiaqing Liang, Minggui He, Shimin Tao, Yilun Liu
2026MechaFormer: Sequence Learning for Kinematic Mechanism Design Automation.
Diana Bolanos, Mohammadmehdi Ataei, Pradeep Kumar Jayaraman
2026Mechanistic Dissection of Cross-Attention Subspaces in Text-to-Image Diffusion Models.
Jun-Hyun Bae, Wonyong Jo, Jaehyup Lee, Heechul Jung
2026MedAtlas: Evaluating LLMs for Multi-Round, Multi-Task Medical Reasoning Across Diverse Imaging Modalities and Clinical Text.
Ronghao Xu, Zhen Huang, Yangbo Wei, Xiaoqian Zhou, Zikang Xu, Ting Liu, Zihang Jiang, S. Kevin Zhou
2026MedEyes: Learning Dynamic Visual Focus for Medical Progressive Diagnosis.
Chunzheng Zhu, Yangfang Lin, Shen Chen, Yijun Wang, Jianxin Lin
2026MedGR2: Breaking the Data Barrier for Medical Reasoning via Generative Reward Learning.
Weihai Zhi, Jiayan Guo, Shangyang Li
2026MedLA: A Logic-Driven Multi-Agent Framework for Complex Medical Reasoning with Large Language Models.
Siqi Ma, Jiajie Huang, Fan Zhang, Jinlin Wu, Yue Shen, Guohui Fan, Zhu Zhang, Zelin Zang
2026MedMKEB: A Comprehensive Knowledge Editing Benchmark for Medical Multimodal Large Language Models.
Dexuan Xu, Jieyi Wang, Zhongyan Chai, Yongzhi Cao, Hanpin Wang, Huamin Zhang, Yu Huang
2026MedOmni-45°: A Safety-Performance Benchmark for Reasoning-Oriented LLMs in Medicine.
Kaiyuan Ji, Yijin Guo, Zicheng Zhang, Xiangyang Zhu, Yuan Tian, Ning Liu
2026MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision.
Zhonghao Yan, Muxi Diao, Yuxuan Yang, Ruoyan Jing, Jiayuan Xu, Kaizhou Zhang, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma
2026MedSAMix: A Training-Free Model Merging Approach for Medical Image Segmentation.
Yanwu Yang, Guinan Su, Jiesi Hu, Francesco Sammarco, Jonas Geiping, Thomas Wolfers
2026MedSpaformer: A Transferable Transformer with Multi-Granularity Token Sparsification for Medical Time Series Classification.
Jiexia Ye, Weiqi Zhang, Ziyue Li, Jia Li, Fugee Tsung
2026MedS³: Towards Medical Slow Thinking with Self-Evolved Soft Dual-sided Process Supervision.
Shuyang Jiang, Yusheng Liao, Zhe Chen, Ya Zhang, Yanfeng Wang, Yu Wang
2026Medical Image Segmentation with Minimal Labeling Effort: How Far Can We Push the Limits?
Yizhe Zhang
2026Medical Vision-Language Pretraining with LLM-Guided Temporal Supervision.
Liang Bai, Zhi Wang, Huimin Yan, Xian Yang
2026Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement.
Jiesi Hu, Jianfeng Cao, Yanwu Yang, Chenfei Ye, Yixuan Zhang, Hanyang Peng, Ting Ma
2026MegaCoin: Enhancing Medium-Grained Color Perception for Vision-Language Models.
Ming-Chang Chiu, Shicheng Wen, Pin-Yu Chen, Xuezhe Ma
2026Melodia: Training-Free Music Editing Guided by Attention Probing in Diffusion Models.
Yi Yang, Haowen Li, Tianxiang Li, Boyu Cao, Xiaohan Zhang, Liqun Chen, Qi Liu
2026Mem-PAL: Towards Memory-based Personalized Dialogue Assistants for Long-term User-Agent Interaction.
Zhaopei Huang, Qifeng Dai, Guozheng Wu, Xiaopeng Wu, Xubin Li, Tiezheng Ge, Wenxuan Wang, Qin Jin
2026Mem4D: Decoupling Static and Dynamic Memory for Dynamic Scene Reconstruction.
Xudong Cai, Shuo Wang, Peng Wang, Yongcai Wang, Zhaoxin Fan, Wanting Li, Tianbao Zhang, Jianrong Tao, Yeying Jin, Deying Li
2026MemGuide: Intent-Driven Memory Selection for Goal-Oriented Multi-Session LLM Agents.
Yiming Du, Bingbing Wang, Yang He, Bin Liang, Baojun Wang, Zhongyang Li, Lin Gui, Jeff Z. Pan, Ruifeng Xu, Kam-Fai Wong
2026Membership Inference Attack Against Large Language Model-Based Recommendation Systems: A New Distillation-Based Paradigm.
Cuihong Li, Xiaowen Huang, Chuanhuan Yin, Jitao Sang
2026MemeBQ: Memory Efficient Binary Quantization of LLMs.
Yuanhui Wang, Kunlong Liu, Minnan Pei, Zhangming Li, Peisong Wang, Qinghao Hu
2026MemoVision: A Digital Catalog for Everyday Interactions.
Lai Xing Ng, Keith Tien Wei Tang, Jacky Jie Wei Tan
2026Memorization and Expressivity in Transformers: A Learning-Theoretic Perspective.
Maxime Meyer
2026Memorize Early, Then Query: Inlier-Memorization-Guided Active Outlier Detection.
Minseo Kang, Seunghwan Park, Dongha Kim
2026Memory Based Advantage Shaping for LLM-Guided Reinforcement Learning (Student Abstract).
Narjes Nourzad, Carlee Joe-Wong
2026MemoryART: Enhancing LLMs via Multi-Memory Models with Adaptive Resonance Theory for Healthcare Agents.
Renke Dai, Hebin Hu, Jiahui Zhang, Yilin Kang, Ah-Hwee Tan
2026Mental Model-based Generation of Lies for Insider Threat Modeling.
Brittany Cates, Sarath Sreedharan
2026MentalGuide: Towards Multi-Turn, State-Aware and Strategy-Driven Conversations for Mental Health Support.
Jinwei He, Feng Lu
2026MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging.
Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li
2026MeshA*: Efficient Path Planning with Motion Primitives.
Marat Agranovskiy, Konstantin Yakovlev
2026MeshSplat: Generalizable Sparse-View Surface Reconstruction via Gaussian Splatting.
Hanzhi Chang, Ruijie Zhu, Wenjie Chang, Mulin Yu, Yanzhe Liang, Jiahao Lu, Zhuoyuan Li, Tianzhu Zhang
2026Meta Dynamic Graph for Traffic Flow Prediction.
Yiqing Zou, Hanning Yuan, Qianyu Yang, Ziqiang Yuan, Shuliang Wang, Sijie Ruan
2026Meta-Black-Box Optimization with Bi-Space Landscape Analysis and Dual-Control Mechanism for SAEA.
Yukun Du, Haiyue Yu, Xiaotong Xie, Yan Zheng, Lixin Zhan, Yudong Du, Chongshuang Hu, Boxuan Wang, Jiang Jiang
2026Meta-GAIN for Missing Data Imputation.
Tao Tong, Xiaofeng Zhu, Jiangzhang Gan
2026Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels.
Ziang Tan, Weitao An, Erkun Yang
2026Meta-Normalizing Flow for Data-Limited Offline Meta-Reinforcement Learning (Student Abstract).
Lianghui Liu, Zongzhang Zhang
2026MetaAct-RL: Training Language Models for Reasoning Through Meta-Action-Based Reinforcement Learning.
Zhiheng Xi, Yuhui Wang, Yiwen Ding, Guanyu Li, Senjie Jin, Shichun Liu, Jixuan Huang, Dingwen Yang, Jiafu Tang, Boyang Hong, Junjie Ye, Shihan Dou, Ming Zhang, Jian Guan, Wei Wu, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang
2026MetaCipher: A Time-Persistent and Universal Multi-Agent Framework for Cipher-Based Jailbreak Attacks for LLMs.
Boyuan Chen, Minghao Shao, Abdul Basit, Siddharth Garg, Muhammad Shafique
2026MetaDiT: Enabling Fine-grained Constraints in High-degree-of Freedom Metasurface Design.
Hao Li, Andrey Bogdanov
2026MetaEval: Measuring the Discrimination of Benchmarks for Efficient LLM Evaluation.
Zhuo Wang, Wen Wu, Guoqing Wang, Guangze Ye, Zhenxiao Cheng
2026MetaGDPO: Alleviating Catastrophic Forgetting with Metacognitive Knowledge Through Group Direct Preference Optimization.
Lanxue Zhang, Yuqiang Xie, Fang Fang, Fanglong Dong, Rui Liu, Yanan Cao
2026MetaGPT: A Large Vision-Language Model for Meme Metaphor Understanding.
Bo Xu, Chenyuan Wang, Xinyu Chen, Hongfei Lin, Feng Xia
2026MetaGameBO: Hierarchical Game-Theoretic Driven Robust Meta-Learning for Bayesian Optimization.
Hui Li, Huafeng Liu, Yiran Fu, Shuyang Lin, Baoxin Zhang, Deqiang Ouyang, Liping Jing, Jian Yu
2026MetaTrader: Learning to Generalize RL Trading Policies Beyond Offline Data.
Haochen Yuan, Minting Pan, Yunbo Wang, Siyu Gao, Xiaokang Yang
2026Methods for Optimization Problems with Markovian Stochasticity and Non-Euclidean Geometry.
Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov
2026Metric Distortion with Preference Intensities.
Mehrad Abbaszadeh, Ali Ansarifar, Mohamad Latifian, Masoud Seddighin
2026MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning.
Jianbo Yu, Yixuan Li, Hai Xu, Kang Xu, Junjielong Xu, Zhijing Li, Pinjia He, Wanyuan Wang
2026MicroEvoEval: A Systematic Evaluation Framework for Image-Based Microstructure Evolution Prediction.
Qinyi Zhang, Duanyu Feng, Ronghui Han, Yangshuai Wang, Hao Wang
2026Mimic-X: A Large-Scale Motion Dataset via Fast Physics-Based Controller Adaptation.
Hongyu Tao, Shuaiying Hou, Junheng Fang, Mingyao Shi, Weiwei Xu
2026Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities.
Guangrui Fan, Dandan Liu, Lihu Pan
2026Mind the Gap: Quantifying and Aligning Human-AI Visual Attention for Accident Anticipation.
Hoe Sung Ryu, Christian Wallraven
2026Mind the Gap: The Divergence Between Human and LLM-Generated Tasks.
Yi-Long Lu, Jiajun Song, Chunhui Zhang, Wei Wang
2026Mind the Third Eye! Benchmarking Privacy Awareness in MLLM-powered Smartphone Agents.
Zhixin Lin, Jungang Li, Shidong Pan, Yibo Shi, Yue Yao, Dongliang Xu
2026MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals.
Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou, Bao-Liang Lu, Wei-Long Zheng
2026MindSight: A Bio-Inspired Neural Architecture for Visual Restoration via Cortical Electrical Stimulation.
Yongjie Zou, Haonan Niu, Bin Zhao, Guoliang Yi, Mengchuanzhi Yang, Jiawei Ju, Jiapeng Yin, Chengyu T. Li
2026MindVote: When AI Meets the Wild West of Social Media Opinion.
Xutao Mao, Ezra Xuanru Tao, Leyao Wang
2026Minimizing Inequity in Facility Location Games.
Yuhang Guo, Houyu Zhou
2026Minimum-Cost Network Flow with Dual Predictions.
Zhiyang Chen, Hailong Yao, Xia Yin
2026Minimum-Length Conformal Prediction Sets for Ordinal Classification.
Zijian Zhang, Xinyu Chen, Yuanjie Shi, Liyuan Lillian Ma, Zifan Xu, Yan Yan
2026Minute-Long Videos with Dual Parallelisms.
Zeqing Wang, Bowen Zheng, Xingyi Yang, Zhenxiong Tan, Yuecong Xu, Xinchao Wang
2026MirrorShield: Towards Dynamic Adaptive Defense Against Jailbreaks via Entropy-Guided Mirror Crafting.
Rui Pu, Chaozhuo Li, Rui Ha, Litian Zhang, Lirong Qiu, Xi Zhang
2026Misalignment from Treating Means as Ends.
Henrik Marklund, Alex Infanger, Benjamin Van Roy
2026Misclassification-Aware Robust Learning from Multiple Human Labelers (Student Abstract).
Zuoyuehe Wang, Chicheng Ma, Pengpeng Chen, Lei Chai, Yongqiang Yang, Zhijun Chen, Jingzheng Li, Bing Li, Ting Wang
2026Mitigating Content Effects on Reasoning in Language Models Through Fine-Grained Activation Steering.
Marco Valentino, Geonhee Kim, Dhairya Dalal, Zhixue Zhao, André Freitas
2026Mitigating Endogenous Confirmation Bias in Noisy Label Learning for Vision-Language Models.
Feiyang Ning, Xinyang Chen
2026Mitigating Entity Hallucinations in 3D Radiology Report Generation via Dual-Stream Alignment.
Lingyu Zhou, Yue Yu, Zhang Yi, Xiuyuan Xu
2026Mitigating Error Accumulation in Co-Speech Motion Generation via Global Rotation Diffusion and Multi-Level Constraints.
Xiangyue Zhang, Jianfang Li, Jianqiang Ren, Jiaxu Zhang
2026Mitigating Error Accumulation in Knowledge Editing for Multi-Hop Question Answering.
Jiaxin Guo, Hao Sun, Wenhao Zhang, Xuanbo Fan, Yan Zhang
2026Mitigating Hallucinations in Large Language Models via Causal Reasoning.
Yuangang Li, Yiqing Shen, Yi Nian, Jiechao Gao, Ziyi Wang, Chenxiao Yu, Li Li, Jie Wang, Xiyang Hu, Yue Zhao
2026Mitigating Length Bias in RLHF Through a Causal Lens.
Hyeonji Kim, Sujeong Oh, Sanghack Lee
2026Mitigating Low-Quality Reasoning in MLLMs: Self-Driven Refined Multimodal CoT with Selective Thinking and Step-wise Visual Enhancement.
Chongjun Tu, Peng Ye, Dongzhan Zhou, Tao Chen, Wanli Ouyang
2026Mitigating Negative Flips via Margin Preserving Training.
Simone Ricci, Niccolò Biondi, Federico Pernici, Alberto Del Bimbo
2026Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment.
Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He
2026Mitigating Perception Bias: A Training-Free Approach to Enhance LMM for Image Quality Assessment.
Baoliang Chen, Siyi Pan, Dongxu Wu, Liang Xie, Xiangjie Sui, Lingyu Zhu, Hanwei Zhu
2026Mitigating Self-Preference by Authorship Obfuscation.
Taslim Mahbub, Shi Feng
2026Mix-QSAM2: Mixed-Precision Quantization for High Fidelity Segmentation in Resource Constrained Scenarios.
Yuzhe Duan, Xuanxuan Ren, Guizhe Dong, Xu Yang, Yanhua Yang
2026Mixture of Ranks with Degradation-Aware Routing for One-Step Real-World Image Super-Resolution.
Xiao He, Zhijun Tu, Kun Cheng, Mingrui Zhu, Jie Hu, Nannan Wang, Xinbo Gao
2026Mixture-of-Trees: Learning to Select and Weigh Reasoning Paths for Efficient LLM Inference.
Yangbo Wei, Zhen Huang, Shaoqiang Lu, Junhong Qian, Dongge Qin, Ting-Jung Lin, Wei W. Xing, Chen Wu, Lei He
2026Mnemosyne: Accelerating Multi-Hop Question Answering via Cache Hit Order Fitting.
Haizhou Du, Jiujiu Li, Dongyang Li, Luobin Huang, Lisheng Wang
2026MoBGS: Motion Deblurring Dynamic 3D Gaussian Splatting for Blurry Monocular Video.
Minh-Quan Viet Bui, Jongmin Park, Juan Luis Gonzalez, Jaeho Moon, Jihyong Oh, Munchurl Kim
2026MoCHA: Advanced Vision-Language Reasoning with MoE Connector and Hierarchical Group Attention.
Yuqi Pang, Bowen Yang, Yun Cao, Fan Rong, Xiaoyu Li, Chen He
2026MoCast: Learning Turbulent Motions Under Physical Guidance for Precipitation Nowcasting.
Binqing Wu, Weiqi Chen, Shiyu Liu, Zongjiang Shang, Haiou Wang, Liang Sun, Ling Chen
2026MoE-Guided Graph Diffusion for Oriented Molecule Design.
Shuochen Li, Xiangqi Guo, Huobin Tan, Lei Shi
2026MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction.
Hua Wang, Xiaodan Zhang, Yanzhao Shi, Chengxin Zheng, Wanyu Zhang, Zhen Wang, Jianing Wang, Xiaobing Yu
2026MoEG-HOI: Mixture of Expert Groups for One-Stage Hand-Object Interaction Motion Generation with Hand-Finger-Joint Semantic Guidance.
Hang Xu, Yang Xiao, Changlong Jiang, Haohong Kuang, Kaidi Zhang, Min Du, Ran Wang
2026MoEGaze: A Mixture of Experts Approach for Generalizable Gaze Estimation.
Zheng Liu, Feng Lu
2026MoETTA: Test-Time Adaptation Under Mixed Distribution Shifts with MoE-LayerNorm.
Xiao Fan, Jingyan Jiang, Zhaoru Chen, Fanding Huang, Xiao Chen, Qinting Jiang, Bowen Zhang, Xing Tang, Zhi Wang
2026MoE^2: A Mixture-of-Mixtures of Experts for Ensemble-Free Domain Generalization.
Ahmed Radwan, Mahmoud Soliman, Omar Abdelaziz, Ahmad Abdel-Qader, Mohamed S. Shehata
2026MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation.
Run Ling, Ke Cao, Jian Lu, Ao Ma, Haowei Liu, Runze He, Changwei Wang, Rongtao Xu, Yihua Shao, Zhanjie Zhang, Peng Wu, Guibing Guo, Wei Feng, Zheng Zhang, Jingjing Lv, Junjie Shen, Ching Law, Xingwei Wang
2026MoHoBench: Assessing Honesty of Multimodal Large Language Models via Unanswerable Visual Questions.
Yanxu Zhu, Shitong Duan, Xiangxu Zhang, Jitao Sang, Peng Zhang, Tun Lu, Xiao Zhou, Jing Yao, Xiaoyuan Yi, Xing Xie
2026MoLe-VLA: Dynamic Layer-skipping Vision Language Action Model via Mixture-of-Layers for Efficient Robot Manipulation.
Rongyu Zhang, Menghang Dong, Yuan Zhang, Liang Heng, Xiaowei Chi, Gaole Dai, Li Du, Dan Wang, Yuan Du, Shanghang Zhang
2026MoLoRA: Boosting LLM-based End-to-end Speech Translation with Mixture of Low-rank Experts.
Hao Zhang, Yaqi Chen, Nianwen Si, Xukui Yang, Wenlin Zhang, Dan Qu
2026MoMoREC: A Multi-agent Motivation Generation Framework for Residual Semantic ID-Aware Recommendation.
Yige Wang, Mingming Li, Li Wang, Kaichen Zhao, Wangming Li, Weipeng Jiang, Xueying Li
2026MoReMouse: Monocular Reconstruction of Laboratory Mouse.
Yuan Zhong, Jingxiang Sun, Zhongbin Zhang, Liang An, Yebin Liu
2026MoSE: Hierarchical Self-Distillation Enhances Early Layer Embeddings.
Andrea Gurioli, Federico Pennino, João Monteiro, Maurizio Gabbrielli
2026MoSs: Mixture of Scales for Efficient High-Resolution Autoregressive Image Generation.
Yaoxiu Lian, Hao Liang, Zhihong Gou, Yijia Zhang, Jiaming Xu, Guohao Dai, Ningyi Xu
2026MoToRec: Sparse-Regularized Multimodal Tokenization for Cold-Start Recommender.
Jialin Liu, Zhaorui Zhang, Ray C. C. Cheung
2026Mobile-Agent-RAG: Driving Smart Multi-Agent Coordination with Contextual Knowledge Empowerment for Long-Horizon Mobile Automation.
Yuxiang Zhou, Jichang Li, Yanhao Zhang, Haonan Lu, Guanbin Li
2026MobileSafetyBench: Evaluating Safety of Autonomous Agents in Mobile Device Control.
Juyong Lee, Dongyoon Hahm, June Suk Choi, W. Bradley Knox, Kimin Lee
2026ModalSyncSum: Synchronizing Image and Text for Reliable Summary Generation.
Xuanqi Chen, Ziying Rong, Xinfeng Liao, Yiqian Wu, Bowei Zhang, Pengfei Fu, Shengyi Jiang
2026Modality and Task Adaptation for Enhanced Zero-shot Composed Image Retrieval.
Haiwen Li, Delong Liu, Zhaohui Hou, Zeliang Ma, Fei Su, Zhicheng Zhao
2026Modality-Aware Bias Mitigation and Invariance Learning for Unsupervised Visible-Infrared Person Re-Identification.
Menglin Wang, Xiaojin Gong, Jiachen Li, Genlin Ji
2026Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization.
Xiaohan Wang, Zhangtao Cheng, Ting Zhong, Leiting Chen, Fan Zhou
2026Model AI Assignments 2026.
Todd W. Neller, Steve Geinitz, Kevin Wang, Zach Dodds, Nicholas Dodds, Ryan O'Connor, Aimen Taha, Ananta Manoranjan, Saurabh Ray, Deepak Ajwani, Fang Sun, Paul Zhang, Pranav Subbaraman, Yizhou Sun, Lisa Dunlap, Taehan Kim, Deena Sun, Ishir Garg, Mark Ogata, Aakarsh Vermani, Narges Norouzi, Joseph Gonzalez, Varada Kolhatkar
2026Model Change for Description Logic Concepts.
Ana Ozaki, Jandson S. Ribeiro
2026Model Counting for Dependency Quantified Boolean Formulas.
Long-Hin Fung, Che Cheng, Jie-Hong Roland Jiang, Friedrich Slivovsky, Tony Tan
2026Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm.
Baixiang Huang, Zhen Tan, Haoran Wang, Zijie Liu, Dawei Li, Ali Payani, Huan Liu, Tianlong Chen, Kai Shu
2026Model Whisper: Steering Vectors Unlock Large Language Models' Potential in Test-Time.
Xinyue Kang, Diwei Shi, Li Chen
2026Model-Agnostic Sentiment Distribution Stability Analysis for Robust LLM-Generated Texts Detection.
Siyuan Li, Xi Lin, Guangyan Li, Zehao Liu, Aodu Wulianghai, Li Ding, Jun Wu, Jianhua Li
2026Modeling Item-Level Dynamic Variability with Residual Diffusion for Bundle Recommendation.
Dong Zhang, Lin Li, Ming Li, Amran Bhuiyan, Meng Sun, Xiaohui Tao, Jimmy Huang
2026Modeling Rapid Contextual Learning in the Visual Cortex with Fast-Weight Deep Autoencoder Networks.
Yue Li, Weifan Wang, Tai Sing Lee
2026Modeling Retinal Ganglion Cells with Neural Differential Equations (Student Abstract).
Kacper Dobek, Daniel F. Jankowski, Krzysztof Krawiec
2026Modeling Trend Dynamics with Variational Neural ODEs for Information Popularity Prediction.
Yuchen Wang, Dongpeng Hou, Weikai Jing, Chao Gao, Xianghua Li, Yang Liu
2026Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG.
Bo Li, Tian Tian, Zhenghua Xu, Hao Cheng, Shikun Zhang, Wei Ye
2026Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning.
Lloyd Pellatt, Fotios Drakopoulos, Shievanie Sabesan, Nicholas A. Lesica
2026Modulation-Based Backdoors: Leveraging Amplitude and Frequency Patterns to Attack Speaker Recognition.
Hanbo Cai, Pengcheng Zhang, Yan Xiao, De Li, Hanting Chu, Ying Luo
2026MolSight: Optical Chemical Structure Recognition with SMILES Pretraining, Multi-Granularity Learning and Reinforcement Learning.
Wenrui Zhang, Xinggang Wang, Bin Feng, Wenyu Liu
2026Mono3DVG-EnSD: Enhanced Spatial-aware and Dimension-decoupled Text Encoding for Monocular 3D Visual Grounding.
Yuzhen Li, Min Liu, Zhaoyang Li, Yuan Bian, Xueping Wang, Erbo Zhai, Yaonan Wang
2026MonoCLUE: Object-Aware Clustering Enhances Monocular 3D Object Detection.
Sunghun Yang, Minhyeok Lee, Jungho Lee, Sangyoun Lee
2026MonoCloth: Reconstruction and Animation of Cloth-Decoupled Human Avatars from Monocular Videos.
Daisheng Jin, Ying He
2026MonoDream: Monocular Vision-Language Navigation with Panoramic Dreaming.
Shuo Wang, Yongcai Wang, Zhaoxin Fan, Yucheng Wang, Maiyue Chen, Kaihui Wang, Zhizhong Su, Wanting Li, Xudong Cai, Yeying Jin, Deying Li
2026Monocular Mesh Recovery and Body Measurement of Female Saanen Goats.
Bo Jin, Shichao Zhao, Jin Lyu, Bin Zhang, Tao Yu, Liang An, Yebin Liu, Meili Wang
2026Monocular Vehicle Pose and Shape Reconstruction via Dynamic Context Adaptation and Progressive Geometry Refinement.
Wei Li, Long Ji, Ying Wang, Xiao Wu, Zhaoquan Yuan, Penglin Dai
2026Monte Carlo Diffusion for Generalizable Learning-Based RANSAC.
Jiale Wang, Chen Zhao, Wei Ke, Tong Zhang
2026Moral Change or Noise? On Problems of Aligning AI with Temporally Unstable Human Feedback.
Vijay Keswani, Cyrus Cousins, Breanna K. Nguyen, Vincent Conitzer, Hoda Heidari, Jana Schaich Borg, Walter Sinnott-Armstrong
2026MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning.
Zhiyu An, Wan Du
2026More than Irrational: Modeling Belief-Biased Agents.
Yifan Zhu, Sammie Katt, Samuel Kaski
2026Mosaic Pruning: A Hierarchical Framework for Generalizable Pruning of Mixture-of-Experts Models.
Wentao Hu, Mingkuan Zhao, Shuangyong Song, Xiaoyan Zhu, Xin Lai, Jiayin Wang
2026MosaicDoc: A Large-Scale Bilingual Benchmark for Visually Rich Document Understanding.
Ketong Chen, Yuhao Chen, Yang Xue
2026Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models (Abstract Reprint).
João Carvalho, An Thai Le, Piotr Kicki, Dorothea Koert, Jan Peters
2026Motion-Aware Object Tracking via Motion and Geometry-Aware Cues.
Hongtao Yang, Bineng Zhong, Qihua Liang, Xiantao Hu, Yufei Tan, Haiying Xia, Shuxiang Song
2026MotionCharacter: Fine-Grained Motion Controllable Human Video Generation.
Haopeng Fang, Di Qiu, Binjie Mao, He Tang
2026MotionFlow: Attention-Driven Motion Transfer in Video Diffusion Models.
Tuna Han Salih Meral, Hidir Yesiltepe, Connor Dunlop, Pinar Yanardag
2026MotionPhysics: Learnable Motion Distillation for Text-Guided Simulation.
Miaowei Wang, Jakub Zadrozny, Oisin Mac Aodha, Amir Vaxman
2026MotivDance: Fine-Grained Text-Guided Motivation Choreography with Music Synchronization.
Chenguang Li, Yu-Hui Wen, Liping Jing
2026MovSemCL: Movement-Semantics Contrastive Learning for Trajectory Similarity.
Zhichen Lai, Hua Lu, Huan Li, Jialiang Li, Christian S. Jensen
2026MovieGraph-ToM: Evaluating Long-Range Theory of Mind in Large Language Models via Implicit Social-Causal Graphs.
Tingjiang Wei, Qin Ni, Rong Gao, Yingying Wang, Liang He
2026MrCoM: A Meta-Regularized World-Model Generalizing Across Multi-Scenarios.
Xuantang Xiong, Ni Mu, Runpeng Xie, Senhao Yang, Yaqing Wang, Lexiang Wang, Yao Luan, Siyuan Li, Shuang Xu, Yiqin Yang, Bo Xu
2026MrM: Black-Box Membership Inference Attacks Against Multimodal RAG Systems.
Peiru Yang, Jinhua Yin, Haoran Zheng, Xueying Bai, Huili Wang, Yufei Sun, Xintian Li, Songwei Pei, Yongfeng Huang, Tao Qi
2026MuSASplat: Efficient Sparse-View 3D Gaussian Splats via Lightweight Multi-Scale Adaptation.
Muyu Xu, Fangneng Zhan, Xiaoqin Zhang, Ling Shao, Shijian Lu
2026MulTiCast: A Multimodal Time Series Forecasting System.
Sehyuk Park, Caren Han, Hyunsuk Chung
2026Multi-Agent Corridor Reasoning for Multi-Agent Path Finding.
Yiran Ni, Deshi Ye
2026Multi-Agent Path Finding with Unassigned Agents (MAPFUA).
Ariel Felner, Roni Stern
2026Multi-Agent Pointer Transformer: Seq-to-Seq Reinforcement Learning for Multi-Vehicle Dynamic Pickup-Delivery Problems.
Zengyu Zou, Jingyuan Wang, Yixuan Huang, Junjie Wu
2026Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets.
Matan Levy, Itay Segev, Alexander Tuisov, Sarah Keren
2026Multi-Agent Undercover Gaming: Hallucination Removal Through Counterfactual Test for Multimodal Reasoning.
Dayong Liang, Xiao-Yong Wei, Changmeng Zheng
2026Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection.
Han Wang, Deyi Ji, Junyu Lu, Lanyun Zhu, Hailong Zhang, Haiyang Wu, Liqun Liu, Peng Shu, Roy Ka-Wei Lee
2026Multi-Armed Bandits Meet Large Language Models.
Djallel Bouneffouf, Raphaël Féraud
2026Multi-Aspect Cross-modal Quantization for Generative Recommendation.
Fuwei Zhang, Xiaoyu Liu, Dongbo Xi, Jishen Yin, Huan Chen, Peng Yan, Fuzhen Zhuang, Zhao Zhang
2026Multi-District School Choice: Playing on Several Fields.
Yannai A. Gonczarowski, Michael Yin, Shirley Zhang
2026Multi-Faceted Attack: Exposing Cross-Model Vulnerabilities in Defense-Equipped Vision-Language Models.
Yijun Yang, Lichao Wang, Jianping Zhang, Chi Harold Liu, Lanqing Hong, Qiang Xu
2026Multi-Granular Graph Learning with Fine-Grained Behavioral Pattern Awareness for Session-Based Recommendation.
Ming Li, Zihao Yan, Yuting Chen, Lixin Cui, Lu Bai, Feilong Cao, Ke Lv, Zhao Li
2026Multi-Horizon Time Series Forecasting of Non-Parametric CDFs with Deep Lattice Networks.
Niklas Erdmann, Lars Ødegaard Bentsen, Roy Stenbro, Heine Nygard Riise, Narada Dilp Warakagoda, Paal E. Engelstad
2026Multi-Label Classification with Incremental and Decremental Features.
Mingdie Jiang, Quanjiang Li, Tingjin Luo, Yiping Song, Chenping Hou
2026Multi-Level Blur-Aware Stable Diffusion for Region-Adaptive Defocus Deblurring.
Xiaopan Li, Yi Jiang, Shiqian Wu, Shoulie Xie, Sos S. Agaian
2026Multi-Level Domain Adaptation and Contrastive Domain Isolation with Bilinear Fusion for Patient Drug Response Prediction.
Yuting Bai, Hanwen Lv, Wanwan Shi, Zhiyi Zou, Jiawei Luo
2026Multi-Metric Preference Alignment for Generative Speech Restoration.
Junan Zhang, Xueyao Zhang, Jing Yang, Yuancheng Wang, Fan Fan, Zhizheng Wu
2026Multi-Modal Assistance for Unsupervised Domain Adaptation on Point Cloud 3D Object Detection.
Shenao Zhao, Pengpeng Liang, Zhoufan Yang
2026Multi-Modal Fact Knowledge Generation for Imbalanced Cross-Source Entity Alignment.
Qian Li, Cheng Ji, Zhaoji Liang, Yuzheng Zhang, Zhuo Chen, Siyuan Liang
2026Multi-Modal Interactive Control of Robotic Arm Based on Offline Large Language Models (Student Abstract).
Hanxiao Chen
2026Multi-Modal Style Transfer-based Prompt Tuning for Efficient Federated Domain Generalization.
Yuliang Chen, Xi Lin, Jun Wu, Xiangrui Cai, Qiaolun Zhang, Xichun Fan, Jiapeng Xu, Xiu Su
2026Multi-Objective Bilevel Learning.
Zhiyao Zhang, Zhuqing Liu, Xin Zhang, Wen-Yen Chen, Jiyan Yang, Jia Liu
2026Multi-Objective Search: Algorithms, Applications, and Emerging Directions.
Oren Salzman, Carlos Hernández Ulloa, Ariel Felner, Sven Koenig
2026Multi-Robot Learning from Human Feedback.
Connor Mattson
2026Multi-Semantic Modeling for Glass Surface Detection in the Wild.
Qianyu Cheng, Huankang Guan, Rynson W. H. Lau
2026Multi-Stage Reinforcement Learning for Robust Charging of Quantum Batteries (Student Abstract).
Beomdo Park, HyeonSeok Jang, Junseong Park, Minu Baek, Gihun Gil, Minsung Jung, Woohyeon Kwon, Harin Jang, Yeojin Jang, Hoon Jeong, Taewook Heo, Sangkeum Lee
2026Multi-Step Deformable Gaussian Splatting for Dynamic Scene Rendering.
Jiaheng Hu, Zhizhong Zhang, Jingyu Gong, Lizhuang Ma, Xin Tan, Yuan Xie
2026Multi-Task Test-time Adaptation via Gradient Consensus and Plasticity Constraint.
Zhong Ye, Yu Hu, Zhenguo Yang
2026Multi-Value Alignment for LLMs via Value Decorrelation and Extrapolation.
Hefei Xu, Le Wu, Chen Cheng, Hao Liu
2026Multi-View Clustering with Granularity-Aware Pseudo Supervision.
Jie Yang, Cheng-You Lu, Zhongli Wang, Hsiang-Ting Chen, Guangkui Xu, Chenglong Zhang, Shuting Dong, Xinyan Liang, Bingbing Jiang
2026Multi-View Differential Mixing and Graph-Guided Structural Region Selection for Cross-Modal Alignment.
Linlin Ji, Li Liu
2026Multi-Window Gabor Transform Network for Ground Penetrating Radar B-Scan Image Reconstruction.
Huabin Wang, Yu Yang, Xinran Zhong, Zilong Ling
2026Multi-agent In-context Coordination via Decentralized Memory Retrieval.
Tao Jiang, Zichuan Lin, Lihe Li, Yi-Chen Li, Cong Guan, Lei Yuan, Zongzhang Zhang, Yang Yu, Deheng Ye
2026Multi-dimensional Adaptive Mix-hop Contextual Learning Framework for Universal Graph Anomaly Detection.
Zhaowei Liu, Leilei Jiang, Haitao Yang
2026Multi-dimensional Neural Decoding with Orthogonal Representations for Brain-Computer Interfaces.
Kaixi Tian, Shengjia Zhao, Yuhan Zhang, Shan Yu
2026Multi-granularity Intent Modeling with Adversarial Robustness for Sequential Recommendation.
Yangyi Fang, Haolin Shi
2026Multi-granularity Interactive Attention Framework for Residual Hierarchical Pronunciation Assessment.
Hong Han, Hao-Chen Pei, Zhao-Zheng Nie, Xin Luo, Xin-Shun Xu
2026Multi-granularity Temporal Knowledge Editing over Large Language Models.
Simiao Zhao, Ning Pang, Zhen Tan, Yanli Hu, Weidong Xiao, Xiang Zhao
2026Multi-graph Fusion Cross-model Contrastive Learning for Recommendation.
Shengjun Ma, Yuhai Zhao, Fenglong Ma, Baoyin Liu, Zhengkui Wang, Wen Shan
2026Multi-knowledge Enhanced Graph Neural Network for Multi-trait Essay Scoring.
Shiman Zhao, Siyuan Liu, Zhiqi Shen
2026Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text.
Zehao Wang, Lianwei Wu, Wenbo An, Hang Zhang, Yaxiong Wang
2026Multi-modal Dynamic Proxy Learning for Personalized Multiple Clustering.
Jinfeng Xu, Zheyu Chen, Shuo Yang, Jinze Li, Ziyue Peng, Zewei Liu, Hewei Wang, Jiayi Zhang, Edith C. H. Ngai
2026Multi-view Invariance Learning for 3D Scene Graph Pre-training via Collaborative Cross-Modal Regularization.
Yucheng Huang, Luping Ji, Ruijie Xiao, Jiayuan Sun
2026Multi-view Learning via Trusted Pairwise Entity Energy.
Yalan Qin, Guorui Feng, Xinpeng Zhang
2026MultiKD: Backdoor Defense in Federated Graph Learning via Attention-Guided Multi-Teacher Distillation.
Jiale Zhang, Yanan Wang, Bosen Rao, Chengcheng Zhu, Xiaobing Sun, Yu Li
2026MultiMedBench: A Scenario-Aware Benchmark for Evaluating Knowledge Editing in Medical VQA.
Shengtao Wen, Haodong Chen, Yadong Wang, Zhongying Pan, Xiang Chen, Yu Tian, Bo Qian, Dong Liang, Sheng-Jun Huang
2026MultiMotion: Multi Subject Video Motion Transfer via Video Diffusion Transformer.
Penghui Liu, Jiangshan Wang, Yutong Shen, Shanhui Mo, Chenyang Qi, Jack Ma
2026MultiTab: A Scalable Foundation for Multitask Learning on Tabular Data.
Dimitrios Sinodinos, Jack Yi Wei, Narges Armanfard
2026Multifaceted Scenario-Aware Hypergraph Learning for Next POI Recommendation.
Yuxi Lin, Yongkang Li, Jie Xing, Zipei Fan
2026Multigranular Evaluation for Brain Visual Decoding.
Weihao Xia, Cengiz Öztireli
2026Multimodal Coarse-to-Local Transformer for End-to-End Autonomous Driving (Student Abstract).
Yeryeong Cho, Joongheon Kim
2026Multimodal DeepResearcher: Generating Text-Chart Interleaved Reports from Scratch with Agentic Framework.
Zhaorui Yang, Bo Pan, Han Wang, Yiyao Wang, Xingyu Liu, Luoxuan Weng, Yingchaojie Feng, Haozhe Feng, Minfeng Zhu, Bo Zhang, Wei Chen
2026Multimodal Digital Phenotyping for Early Prediction of Manic Episodes Through Keystroke Dynamics and Circadian Pattern Analysis.
Krish Bhatnagar
2026Multimodal Gaussian Mixture Variational Autoencoder with Consistency Regularizations.
Yarui Chen, Lehan Hong, Jianlin Shao, Jianning Yang, Tingting Zhao, Yun Liao, Yancui Shi
2026Multimodal Graph Representation Learning with Dynamic Information Pathways.
Xiaobin Hong, Mingkai Lin, Xiaoli Wang, Chaoqun Wang, Wenzhong Li
2026Multimodal Mixture-of-Experts with Retrieval Augmentation for Protein Active Site Identification.
Jiayang Wu, Jiale Zhou, Rubo Wang, Xingyi Zhang, Xun Lin, Tianxu Lv, Leong Hou U, Yefeng Zheng
2026Multimodal Robust Prompt Distillation for 3D Point Cloud Models.
Xiang Gu, Liming Lu, Xu Zheng, Anan Du, Yongbin Zhou, Shuchao Pang
2026Multimodal Super-Resolution: Discovering Hidden Physics and Its Application to Fusion Plasmas (Abstract Reprint).
Azarakhsh Jalalvand, SangKyeun Kim, Jaemin Seo, Qiming Hu, Max Curie, Peter Steiner, Andrew Oakleigh Nelson, Yong-Su Na, Egemen Kolemen
2026Multimodal Table Understanding with Difficulty-aware Reinforcement Learning.
Chaohu Liu, Haoyu Cao, YongXiang Hua, Linli Xu
2026Multimodal Tabular Data Learning.
Jun-Peng Jiang
2026Multiple Human Motion Understanding.
Lei Li, Sen Jia, Jenq-Neng Hwang
2026Multiple-Interval Coverage for Resource Management of Passive Surveillance Systems.
Jan Pikman, Premysl Sucha, Claire Hanen, Zdenek Hanzálek
2026Multiple-play Stochastic Bandits with Prioritized Arm Capacity Sharing.
Hong Xie, Haoran Gu, Yanying Huang, Tao Tan, Defu Lian
2026Multiplex Heterogeneous Graph Neural Networks with Euclidean-Riemannian Mutual Space Synergy.
Xiang Li, Yuan Cao, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2026Multiplicative Orthogonal Sequential Editing for Language Models.
Hao-Xiang Xu, Jun-Yu Ma, Ziqi Peng, Yuhao Sun, Zhen-Hua Ling, Jia-Chen Gu
2026Multitasks-based Deep Evidential Fusion Network for Blind Image Quality Assessment.
Yiwei Lou, Yuanpeng He, Rongchao Zhang, Yongzhi Cao, Hanpin Wang, Yu Huang
2026Multivariate Diffusion Transformer with Decoupled Attention for High-Fidelity Mask-Text Collaborative Facial Generation.
Yushe Cao, Dianxi Shi, Xing Fu, Xuechao Zou, Haikuo Peng, Xueqi Li, Chun Yu, Junliang Xing
2026Multivariate Functional Linear Discriminant Analysis for Partially-Observed Time Series (Abstract Reprint).
Rahul Bordoloi, Clémence Réda, Orell Trautmann, Saptarshi Bej, Olaf Wolkenhauer
2026Multivariate Gaussian Representation Learning for Medical Action Evaluation.
Luming Yang, Haoxian Liu, Siqing Li, Alper Yilmaz
2026MusicRec: Multi-modal Semantic-Enhanced Identifier with Collaborative Signals for Generative Recommendation.
Yuqiu Zhao, Lei Shi, Yan Zhong, Feifei Kou, Pengfei Zhang, Jiwei Zhang, Mingying Xu, Yanchao Liu
2026MvP-ECR: Multi-Perspective Emotion-Cause Reasoning for Empathetic Dialogue.
Yuanyuan He, Guotai Huang, Wei Li, Jiali You, Jiawen Deng, Fuji Ren
2026MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment.
Zhifei Li, Ziyue Qin, Xiangyu Luo, Xiaoju Hou, Yue Zhao, Miao Zhang, Zhifang Huang, Kui Xiao, Bing Yang
2026M²VAE: Multi-Modal Multi-View Variational Autoencoder for Cold-start Item Recommendation.
Chuan He, Yongchao Liu, Qiang Li, Chuntao Hong, Wenliang Zhong, Xin-Wei Yao
2026NADIR: Differential Attention Flow for Non-Autoregressive Transliteration in Indic Languages.
Lakshya Tomar, Vinayak Abrol, Puneet Agarwal
2026NGTM: Substructure-based Neural Graph Topic Model for Interpretable Graph Generation.
Yuanxin Zhuang, Dazhong Shen, Ying Sun
2026NICE: Neural Implicit Craniofacial Model for Orthognathic Surgery Prediction.
Jiawen Yang, Yihui Cao, Xuanyu Tian, Yuyao Zhang, Hongjiang Wei
2026NL2CA: Auto-formalizing Cognitive Decision-Making from Natural Language Using an Unsupervised CriticNL2LTL Framework.
Zihao Deng, Yijia Li, Renrui Zhang, Peijun Ye
2026NODiff: Neural Operator Diffusion for Multispectral Image Fusion.
Junming Hou, Ran Ran, Sixing Chen, Zihao Chen, Xiaofeng Cong, Junling Li, Liang-Jian Deng
2026NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation.
Maoqi Liu, Quan Fang, Yuhao Wu, Can Zhao, Yang Yang, Kaiquan Cai
2026NOVAID: Natural-language Observability Visualization Assistant for ITOps Dashboard Widget Generation.
Pratik Mishra, Caner Gözübüyük, Seema Nagar, Prateeti Mohapatra, Raya Wittich, Arthur De Magalhaes
2026NP-MiSR: Neural Process-based Multi-Interest Learning for Session-Based Recommendation.
Jun Bao, Junbo Wang, Yiheng Jiang, Xiangfeng Liu, Mingyang Lv, Yuanbo Xu
2026NTSFormer: A Self-Teaching Graph Transformer for Multimodal Isolated Cold-Start Node Classification.
Jun Hu, Yufei He, Yuan Li, Bryan Hooi, Bingsheng He
2026NURBGen: High-Fidelity Text-to-CAD Generation Through LLM-Driven NURBS Modeling.
Muhammad Usama, Mohammad Sadil Khan, Didier Stricker, Muhammad Zeshan Afzal
2026NaVLA$^2$: A Vision-Language-Audio-Action Model for Multimodal Instruction Navigation.
Jugang Fan, Peihao Chen, Changhao Li, Qing Du, Jian Chen, Mingkui Tan
2026Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling.
Azza Fadhel, Yassine Chemingui, Minh Hoang, Aryan Deshwal, Trong Nghia Hoang, Jana Doppa
2026Native Speech Processing with LLMs.
Aaron Soh
2026Navigating Through Paper Flood: Advancing LLM-Based Paper Evaluation Through Domain-Aware Retrieval and Latent Reasoning.
Wuqiang Zheng, Yiyan Xu, Xinyu Lin, Chongming Gao, Wenjie Wang, Fuli Feng
2026Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining.
Yu Shi, Yitong Duan, Jian Li
2026Navigation and Interaction for Blind Users via a Cognitive Architecture.
Oscar J. Romero, Anthony Tomasic, Elizabeth J. Carter, John Zimmerman, Aaron Steinfeld
2026NeSTR: A Neuro-Symbolic Abductive Framework for Temporal Reasoning in Large Language Models.
Feng Liang, Weixin Zeng, Runhao Zhao, Xiang Zhao
2026Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions.
Jiazhou Liang, Hassan Khurram, Scott Sanner
2026Negative Entity Suppression for Zero-Shot Captioning with Synthetic Images.
Zimao Lu, Hui Xu, Bing Liu, Ke Wang
2026Neighbor-aware Instance Refining with Noisy Labels for Cross-Modal Retrieval.
Yizhi Liu, Ruitao Pu, Shilin Xu, Yingke Chen, Quan-Hui Liu, Yuan Sun
2026Neighbor-aware Label Refinement: Enhancing Unreliable Instance-Dependent Partial Labels.
Xijia Tang, Yuhua Qian, Chao Xu, Chenping Hou
2026Nested Depth Search.
Junkang Li, Tristan Cazenave, Swann Legras, Arthur Queffelec, Véronique Ventos
2026Nested Graph Pseudo-Label Refinement for Noisy Label Domain Adaptation Learning.
Yingxu Wang, Mengzhu Wang, Zhichao Huang, Suyu Liu, Nan Yin
2026Network Inversion for Uncertainty-Aware Out-of-Distribution Detection (Student Abstract).
Pirzada Suhail, Rehna Afroz, Gouranga Bala, Amit Sethi
2026Network Restoration Games with Quotas (Student Abstract).
Philip Bogaars, Argyrios Deligkas, Eduard Eiben, Michail Fasoulakis
2026NeuPAN: Direct Point Robot Navigation with End-to-End Model-Based Learning (Abstract Reprint).
Ruihua Han, Shuai Wang, Shuaijun Wang, Zeqing Zhang, Jianjun Chen, Shijie Lin, Chengyang Li, Chengzhong Xu, Yonina C. Eldar, Qi Hao, Jia Pan
2026NeuS-QA: Grounding Long-Form Video Understanding in Temporal Logic and Neuro-Symbolic Reasoning.
Sahil Shah, S. P. Sharan, Harsh Goel, Minkyu Choi, Mustafa Munir, Manvik Pasula, Radu Marculescu, Sandeep Chinchali
2026NeuSpring: Neural Spring Fields for Reconstruction and Simulation of Deformable Objects from Videos.
Qingshan Xu, Jiao Liu, Shangshu Yu, Yuxuan Wang, Yuan Zhou, Junbao Zhou, Jiequan Cui, Yew-Soon Ong, Hanwang Zhang
2026Neural Architecture and Hyperparameter Selection Through Meta-Learning on Time Series.
Erfan Moeini, Christopher Vox, Marie Anastacio, Wadie Skaf, Mitra Baratchi, Holger H. Hoos
2026Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography.
Yulu Wang, Ziqian Zeng, Jianjun Wu, Zhifeng Tang
2026Neural Collapse Priors Driven Trust Semi-Supervised Multi-View Classification.
Taotao Guo, Honglin Yuan, Xujian Zhao, Yuan Sun, Dongliang Wang, Zhenwen Ren, Xingfeng Li
2026Neural Collapse-Informed Initialization with Perturbation Injection in Classification-based Metric Learning.
Jinhee Park, Hee Bin Yoo, Minjun Kim, Byoung-Tak Zhang, Junseok Kwon
2026Neural Graph Navigation for Intelligent Subgraph Matching.
Yuchen Ying, Yiyang Dai, Wenda Li, Wenjie Huang, Rui Wang, Tongya Zheng, Yu Wang, Hanyang Yuan, Mingli Song
2026Neural Outline Cache for Real-time Anti-aliasing Font Rendering.
Jiashuaizi Mo, Sang-Woon Jeon, Hua Wang, Xiangqi Chen, Yanchao Wang, Minglu Li, Zhonglong Zheng
2026Neural Tangent Kernels Under Stochastic Data Augmentation.
Joshua DeOliveira, Sajal Chakroborty, Walter Gerych, Elke A. Rundensteiner
2026Neural Video Compression with Reference Hierarchy.
Chuanbo Tang, Zhuoyuan Li, Li Li, Dong Liu, Feng Wu
2026Neural-Augmented Kelvinlet for Real-Time Soft Tissue Deformation Modeling.
Ashkan Shahbazi, Kyvia Pereira, Jon S. Heiselman, Elaheh Akbari, Annie C. Benson, Sepehr Seifi, Xinyuan Liu, Garrison Lawrence Horswill Johnston, Jie Ying Wu, Nabil Simaan, Michael I. Miga, Soheil Kolouri
2026NeuralGS: Bridging Neural Fields and 3D Gaussian Splatting for Compact 3D Representations.
Zhenyu Tang, Chaoran Feng, Xinhua Cheng, Wangbo Yu, Junwu Zhang, Yuan Liu, Xiaoxiao Long, Wenping Wang, Li Yuan
2026NeuralOM: Neural Ocean Model for Subseasonal-to-Seasonal Simulation.
Yuan Gao, Hao Wu, Fan Xu, Yanfei Xiang, Ruijian Gou, Ruiqi Shu, Qingsong Wen, Xian Wu, Kun Wang, Xiaomeng Huang
2026Neuro-Symbolic Federated Learning over Heterogeneous Data-Views: A Structured Approach to Distributive EHR Modelling.
Soheila Molaei, Bahareh Fatemi, Anshul Thakur, Andrew A. S. Soltan, Fazle Rabbi, Andreas L. Opdahl, Kim Branson, Patrick Schwab, Danielle Belgrave, David A. Clifton
2026NeuroBridge: Bio-Inspired Self-Supervised EEG-to-Image Decoding via Cognitive Priors and Bidirectional Semantic Alignment.
Wenjiang Zhang, Sifeng Wang, Yuwei Su, Xinyu Li, Chen Zhang, Suyu Zhong
2026New Metrics for Disambiguating Feature Overlap and Catastrophic Forgetting in Incremental Learning Contexts (Student Abstract).
Niklas Melton, Leonardo Enzo Brito da Silva, Donald C. Wunsch
2026New Synthetic Goldmine: Hand Joint Angle-Driven EMG Data Generation Framework for Micro-Gesture Recognition.
Nana Wang, Suli Wang, Gen Li, Pengfei Ren, Hao Su
2026NewsLensAI: NER-Guided Summarization for Mitigating Hallucination and Bias in LLM-Based News Summaries (Student Abstract).
Gaurank Maheshwari, Ambika Taploo, Ashiqur R. KhudaBukhsh
2026Next Generation Active Learning: Mixture of LLMs in the Loop.
Yuanyuan Qi, Xiaohao Yang, Jueqing Lu, Guoxiang Guo, Joanne Enticott, Gang Liu, Lan Du
2026Next Generation of Empirical Performance Prediction.
Hadar Shavit
2026Next Patch Prediction for AutoRegressive Visual Generation.
Yatian Pang, Peng Jin, Shuo Yang, Bin Zhu, Bin Lin, Chaoran Feng, Zhenyu Tang, Liuhan Chen, Francis E. H. Tay, Ser-Nam Lim, Harry Yang, Li Yuan
2026Next-Generation Metalens Vision System: Powered by AI and Applied to AI.
Fen Fang, Muli Yang, Henan Wang, Xinan Liang, Tobias Wilhelm W. Mass, Xuewu Xu, XuLei Yang, Zhengguo Li
2026Nighttime Flare Removal via Wavelet-Guided and Gated-Enhanced Spatial-Frequency Fusion Network.
Yun Liu, Guang Yang, Tao Li, Weisi Lin
2026No-Regret Strategy Solving in Imperfect-Information Games via Pre-Trained Embedding.
Yanchang Fu, Shengda Liu, Pei Xu, Kaiqi Huang
2026NoMoColor: Unified Noise Modulation for Enhanced Diffusion-based Image Colorization (Student Abstract).
Ankan Deria, Dwarikanath Mahapatra, Murari Mondal, Sudipta Roy
2026NoReGeo: Non-Reasoning Geometry Benchmark.
Irina Abdullaeva, Anton Vasiliuk, Elizaveta Goncharova, Temurbek Rahmatullaev, Zagorulko Ivan, Maxim Kurkin, Andrey Kuznetsov
2026Noise-Aware Graph-Based Cognitive Diagnostic Framework Through Low-Rank Alignment.
Guixian Zhang, Yanmei Zhang, Guan Yuan, Shang Liu, Xiaojing Du, Debo Cheng
2026Noisy Correspondence Learning with Modality Gap Direction Correction.
Wuyuqing Wang, Zeyuan Gu, Erkun Yang
2026Non-Monotonic S4F Standpoint Logic.
Piotr Gorczyca, Hannes Strass
2026Non-Monotonicity in Fair Division of Graphs.
Hadi Hosseini, Shraddha Pathak, Yu Zhou
2026Not All Distortions Are Created Equal: Distortion-Selective Domain Adaptation for Point Cloud Quality Assessment.
Yangwei Li, Xiaochuan Wang, Xin Shang, Haisheng Li
2026Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict.
Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong
2026Not All Tokens Are Meant to Be Forgotten.
Xiangyu Zhou, Yao Qiang, Saleh Zare Zade, Douglas Zytko, Prashant Khanduri, Dongxiao Zhu
2026Not All Tokens and Heads Are Equally Important: Dual-Level Attention Intervention for Hallucination Mitigation.
Lexiang Tang, Xianwei Zhuang, Bang Yang, Zhiyuan Hu, Hongxiang Li, Lu Ma, Jinghan Ru, Yuexian Zou
2026Not Everything Is Permitted: Constrained Cartesian Abstractions for Optimal Classical Planning.
Martín Pozo, Álvaro Torralba, Carlos Linares López
2026Not Just What's There: Enabling CLIP to Comprehend Negated Visual Descriptions Without Fine-Tuning.
Junhao Xiao, Zhiyu Wu, Hao Lin, Yi Chen, Yahui Liu, Xiaoran Zhao, Zixu Wang, Zejiang He
2026Not Just for Archiving: Provable Benefits of Reusing the Archive in Evolutionary Multi-objective Optimization.
Shengjie Ren, Zimin Liang, Miqing Li, Chao Qian
2026Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes.
Yang Zhou, Zhenting Sheng, Mingrui Tan, Yuting Song, Jun Zhou, Yu Heng Kwan, Lian Leng Low, Yang Bai, Yong Liu
2026NucEL: Single-Nucleotide ELECTRA-Style Genomic Pre-training for Efficient and Interpretable Representations.
Ke Ding, Brian J. Parker, Jiayu Wen
2026NumCoKE: Ordinal-Aware Numerical Reasoning over Knowledge Graphs with Mixture-of-Experts and Contrastive Learning.
Ming Yin, Zongsheng Cao, Qiqing Xia, Chenyang Tu, Neng Gao
2026NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening.
Misaal Khan, Mayank Vatsa, Kuldeep Singh, Richa Singh
2026O-DisCo-Edit: Object Distortion Control for Unified Realistic Video Editing.
Yuqing Chen, Junjie Wang, Lin Liu, Ruihang Chu, Xiaopeng Zhang, Qi Tian, Yujiu Yang
2026O3SLM: Open Weight, Open Data, and Open Vocabulary Sketch-Language Model.
Rishi Gupta, Mukilan Karuppasamy, Shyam Marjit, Aditay Tripathi, Anirban Chakraborty
2026OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description.
Quanxing Xu, Ling Zhou, Feifei Zhang, Rubing Huang, Jinyu Tian
2026ODYSSEY: Open-World Quadrupeds Exploration and Manipulation for Long-Horizon Tasks.
Kaijun Wang, Liqin Lu, Mingyu Liu, Jianuo Jiang, Zeju Li, Bolin Zhang, Wancai Zheng, Xinyi Yu, Hao Chen, Chunhua Shen
2026OFL-SAM2: Prompt SAM2 with Online Few-shot Learner for Efficient Medical Image Segmentation.
Meng Lan, Lefei Zhang, Xiaomeng Li
2026OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive.
Xuan Shen, Brian Wingenroth, Zichao Wang, Jason Kuen, Wanrong Zhu, Ruiyi Zhang, Yiwei Wang, Lichun Ma, Anqi Liu, Hongfu Liu, Tong Sun, Kevin S. Hawkins, Kate Tasker, G. Caleb Alexander, Jiuxiang Gu
2026OMEGA: An Ontology-Driven Tool for Explaining Multi-Agent Path Finding.
Bharath Muppasani, Ritirupa Dey, Biplav Srivastava, Vignesh Narayanan
2026OPERA: A Reinforcement Learning-Enhanced Orchestrated Planner-Executor Architecture for Reasoning-Oriented Multi-Hop Retrieval.
Yu Liu, Yanbing Liu, Fangfang Yuan, Cong Cao, Youbang Sun, Kun Peng, Weizhuo Chen, Jianjun Li, Zhiyuan Ma
2026OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting During Parameter-Efficient Fine-Tuning.
Yifeng Xiong, Xiaohui Xie
2026OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks.
Bangqi Pan, Jianfeng Lu, Shuqin Cao, Xiao Zhang, Gang Li, Guanghui Wen
2026OR-R1: Automating Modeling and Solving of Operations Research Optimization Problem via Test-Time Reinforcement Learning.
Zezhen Ding, Zhen Tan, Jiheng Zhang, Tianlong Chen
2026ORACLE: Optimizing Reasoning Abilities of Large Language Models via Constraint-Led Synthetic Data Elicitation.
Zhuojie Yang, Wentao Wan, Keze Wang
2026ORTCL: Towards Continual Learning of Time Series Foundation Models on Streaming Data via Orthogonal Rotation.
Li Lin, Xinrui Zhang, Qi Zhang, Shuai Wang, Kaiwen Xia
2026ORVIT: Near-Optimal Online Distributionally Robust Reinforcement Learning.
Debamita Ghosh, George K. Atia, Yue Wang
2026OSVBench: Benchmarking LLMs on Specification Generation Tasks for Operating System Verification.
Shangyu Li, Juyong Jiang, Tiancheng Zhao, Jiasi Shen
2026OT-ALD: Aligning Latent Distributions with Optimal Transport for Accelerated Image-to-Image Translation.
Zhanpeng Wang, Shuting Cao, Yuhang Lu, Yuhan Li, Na Lei, Zhongxuan Luo
2026OTARo: Once Tuning for All Precisions Toward Robust On-Device LLMs.
Shaoyuan Chen, Zhixuan Chen, Dawei Yang, Zhihang Yuan, Qiang Wu
2026OTI: A Model-free and Visually Interpretable Measure of Image Attackability.
Jiaming Liang, Haowei Liu, Chi-Man Pun
2026OW-DAR: Dual-Granularity Adaptive Reconstruction-Error Modeling for Open-World Object Detection.
Linhua Ye, Xing Xi, Ronghua Luo
2026OWL: Unsupervised 3D Object Detection by Occupancy Guided Warm-up and Large Model Priors Reasoning.
Xusheng Guo, Wanfa Zhang, Shijia Zhao, Qiming Xia, Xiaolong Xie, Mingming Wang, Hai Wu, Chenglu Wen
2026OX-MABSR: A Benchmark for Open-domain Explainable Multimodal Aspect-Based Sentiment Reasoning.
Xinjing Liu, Zixin Xue, Pengyue Lin, Xinyu Tu, Siwei Xu, Ruifan Li
2026Obedience or Vigilance? How Large Language Models React to Malicious Multiple-Choice Options (Student Abstract).
Yow-Fu Liou, Yu-Chien Tang, An-Zi Yen
2026ObjecTok: Learning Holistic and Robust Object Tokens for MLLMs.
Sihan Wang, Xiyao Liu, Lianqing Liu, Zhi Han
2026Object Fusion via Diffusion Time-step for Customized Image Editing with Single Example.
Xue Song, Zhongqi Yue, Jiequan Cui, Hanwang Zhang, Jingjing Chen
2026Object-Centric Data Synthesis for Category-level Object Detection (Student Abstract).
Vikhyat Agarwal, Jiayi Cora Guo, Declan Hoban, Sissi Zhang, Nicholas Moran, Peter Cho, Srilakshmi Pattabiraman, Shantanu H. Joshi
2026Object-Centric Framework for Video Moment Retrieval.
Zongyao Li, Yongkang Wong, Satoshi Yamazaki, Jianquan Liu, Mohan Kankanhalli
2026Object-Centric Latent Action Learning.
Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov
2026Object-Centric World Models for Causality-Aware Reinforcement Learning.
Yosuke Nishimoto, Takashi Matsubara
2026ObjectAdv: Object-Level Unrestricted Adversarial Attacks via Diffusion Models.
Shijie Zhao, Zhenyu Liang, Xing Yang, Haoqi Gao, Anjie Peng, Hui Zeng
2026Oblivionis: A Lightweight Learning and Unlearning Framework for Federated Large Language Models.
Fuyao Zhang, Xinyu Yan, Tiantong Wu, Wenjie Li, Tianxiang Chen, Yang Cao, Ran Yan, Longtao Huang, Wei Yang Bryan Lim, Qiang Yang
2026OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting.
Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang
2026OceanSplat: Object-aware Gaussian Splatting with Trinocular View Consistency for Underwater Scene Reconstruction.
Minseong Kweon, Jinsun Park
2026Octopus: Entropy-Controlled Science Fiction Literature Generation with Persistent Memory-Context Binding.
Xu Wang, Jiaju Kang, Puyu Han, Zeyu Ai, Luqi Gong
2026Offline Fictitious Self-Play for Competitive Games.
Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen
2026Offline Meta-Reinforcement Learning with Flow-Based Task Inference and Adaptive Correction of Feature Overgeneralization.
Min Wang, Xin Li, Mingzhong Wang, Hasnaa Bennis
2026Offline Multi-Objective Bandits: From Logged Data to Pareto-Optimal Policies.
Ji Cheng, Song Lai, Shunyu Yao, Bo Xue
2026Oligodendrocyte-Driven Spiking Neural Model.
Mengqiao Han, Liyuan Pan, Xiabi Liu, Hongming Zhang
2026Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation.
Fangyuan Mao, Aiming Hao, Jintao Chen, Dongxia Liu, Xiaokun Feng, Jiashu Zhu, Meiqi Wu, Chubin Chen, Jiahong Wu, Xiangxiang Chu
2026OmniBench: A Comprehensive Benchmark Integrating Real-World, Time-sensitive, and Multi-Hop Questions with a Multi-Dimensional Hybrid Evaluation Framework.
Wenjie Wang, Yufeng Jiang, Ge Sun, Chenghang Dong, Zheng Jun, Mengjie Li, Lixin Chen, Huan Wang, Haoyu Wang, Bin Chen
2026OmniDPO: A Preference Optimization Framework to Address Omni-Modal Hallucination.
Junzhe Chen, Tianshu Zhang, Shiyu Huang, Yuwei Niu, Chao Sun, Rongzhou Zhang, Guanyu Zhou, Lijie Wen
2026OmniEvent: Unified Event Representation Learning.
Weiqi Yan, Chenlu Lin, Youbiao Wang, Zhipeng Cai, Xiuhong Lin, Yangyang Shi, Weiquan Liu, Yu Zang
2026OmniPT: Unleashing the Potential of Large Vision Language Models for Pedestrian Tracking and Understanding.
Teng Fu, Mengyang Zhao, Ke Niu, Kaixin Peng, Bin Li
2026OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.
Qianli Ma, Yaowei Zheng, Zhelun Shi, Zhongkai Zhao, Bin Jia, Ziyue Huang, Zhiqi Lin, Youjie Li, Jiacheng Yang, Yanghua Peng, Zhi Zhang, Xin Liu
2026OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs.
Feng Chen, Yefei He, Shaoxuan He, Yuanyu He, Jing Liu, Lequan Lin, Akide Liu, Zhaoyang Li, Jiyuan Zhang, Zhenbang Sun, Bohan Zhuang, Qi Wu
2026OmniVDiff: Omni Controllable Video Diffusion for Generation and Understanding.
Dianbing Xi, Jiepeng Wang, Yuanzhi Liang, Xi Qiu, Yuchi Huo, Rui Wang, Chi Zhang, Xuelong Li
2026On Condorcet's Jury Theorem with Abstention.
Reshef Meir, Ganesh Ghalme
2026On Coresets for End-to-end Learning from Crowds.
Hang Yang, ZhiWu Li, Witold Pedrycz
2026On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios (Abstract Reprint).
Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti, Tran Cao Son
2026On Logical Extrapolation for Mazes with Recurrent and Implicit Networks.
Brandon Knutson, Amandin Chyba Rabeendran, Michael I. Ivanitskiy, Jordan Pettyjohn, Cecilia G. Diniz Behn, Samy Wu Fung, Daniel McKenzie
2026On Modality Weighting and Specificity for Multi-Modal Entity Alignment.
Yu Xing, Qizhuo Xie, Yunhui Liu, Qing Gu, Tao Zheng, Bin Chong, Tieke He
2026On Model and Data Scaling for Skeleton-based Self-Supervised Gait Recognition.
Adrian Cosma, Andy-Eduard Catruna, Emilian Radoi
2026On Robustness of Linear Classifiers to Targeted Data Poisoning.
Nakshatra Gupta, Sumanth Prabhu S, Supratik Chakraborty, R. Venkatesh
2026On Stealing Graph Neural Network Models.
Marcin Podhajski, Jan Dubinski, Franziska Boenisch, Adam Dziedzic, Agnieszka Pregowska, Tomasz Pawel Michalak
2026On Trustworthy, Explainable, and Verifiable High-Level Autonomy via Hierarchical Planning.
Roman Barták
2026On the Alignment of Large Language Models with Global Human Opinion.
Yang Liu, Masahiro Kaneko, Chenhui Chu
2026On the Approximation Ratio of Optimal Fixed-Price Mechanisms for Single and Multi-Unit Bilateral Trade.
Giordano Giambartolomei, Bart de Keijzer
2026On the Calibration of Image Semi-Supervised Learning Models.
Mehrab Mustafy Rahman, Jayanth Mohan, Tiberiu Sosea, Cornelia Caragea
2026On the Computational Tractability of Probabilistic Global and Local Sufficient Explanation.
Xiliang Yang
2026On the Dataless Training of Neural Networks.
Alvaro Velasquez, Susmit Jha, Ismail R. Alkhouri
2026On the Edge of Core (Non-)Emptiness: An Automated Reasoning Approach to Approval-Based Multi-Winner Voting.
Ratip Emin Berker, Emanuel Tewolde, Vincent Conitzer, Mingyu Guo, Marijn Heule, Lirong Xia
2026On the Evaluation of Capability Estimation Methods for Large Language Models.
Qiang Hu, Jin Wen, Yao Zhang, Maxime Cordy, Yongqiang Lyu
2026On the Exponential Convergence for Offline RLHF with Pairwise Comparisons.
Zhirui Chen, Vincent Y. F. Tan
2026On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks.
Ting Bi, Chenghang Ye, Zheyu Yang, Ziyi Zhou, Cui Tang, Zui Tao, Jun Zhang, Kailong Wang, Liting Zhou, Yang Yang, Tianlong Yu
2026On the Impact of Weight Quantization on Deep Neural Network Uncertainty.
Shuang Liang, Xun Lu, Zi-Ang Liu, Ming-Liang Wang, Yan Lyu, Shao-Qun Zhang
2026On the Information Processing of One-Dimensional Wasserstein Distances with Finite Samples.
Cheongjae Jang, Jong-Hyun Won, Soyeon Jun, Chun Kee Chung, Keehyoung Joo, Yung-Kyun Noh
2026On the Learning Dynamics of Two-layer Linear Networks with Label Noise SGD.
Tongcheng Zhang, Zhanpeng Zhou, Mingze Wang, Andi Han, Wei Huang, Taiji Suzuki, Junchi Yan
2026On the Misalignment Between Data Learnability and Forgettability in Machine Unlearning.
Zijie Pan, Zuobin Ying, Yajie Wang, Wanlei Zhou
2026On the Probabilistic Learnability of Compact Neural Network Preimage Bounds.
Luca Marzari, Manuele Bicego, Ferdinando Cicalese, Alessandro Farinelli
2026On the Robustness of Bandit Multiple Testing.
Zhengyu Zhou, Weiwei Liu
2026On the Superimposed Noise Accumulation Problem in Sequential Knowledge Editing of Large Language Models.
Ding Cao, Yuchen Cai, Yuqing Huang, Xuesong He, Rongxi Guo, Guiquan Liu, Guangzhong Sun
2026OnEDIT: Online Editing with Decoupled Implicit Task for Large Language Models.
Chae-Won Lee, Jae-Hong Lee, Ji-Hun Kang, Joon-Hyuk Chang
2026OncoCoT: A Temporal-causal Chain-of-Thought Dataset for Oncologic Decision-Making.
Peiru Yang, Yudong Li, Shiting Wang, Xinyi Liu, Haotian Gan, Xintian Li, Qingyu Gao, Yongfeng Huang
2026One for All: Synthesis-Free Fingerprint Learning for Attribution of In-the-Wild Synthetic Images.
Jianwei Fei, Yunshu Dai, Peipeng Yu, Zhihua Xia, Dasara Shullani, Daniele Baracchi, Alessandro Piva
2026One-Shot Refiner: Boosting Feed-forward Novel View Synthesis via One-Step Diffusion.
Yitong Dong, Qi Zhang, Minchao Jiang, Zhiqiang Wu, Qingnan Fan, Ying Feng, Huaqi Zhang, Hujun Bao, Guofeng Zhang
2026One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow.
Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai, Tianyuan Yu, Yanwei Fu
2026One2Seq: One-Token Wise Decoder for Efficient Scene Text Recognition.
Zhibin Ma, Pengwen Dai, Wei Zhuo, Xugong Qin
2026OneFont: A Unified Agent for End-to-End Font Creation.
Yingxin Lai, Yufei Liu, Guoqing Yang, Jiaxing Chai, Zhiming Luo, Shaozi Li
2026OneLIP: Unlocking and Improving Long-Text Representations of CLIP via One-Stage Adaptation.
Renjie Pan, Jiayan Song, Hua Yang
2026OneSug: The Unified End-to-End Generative Framework for E-commerce Query Suggestion.
Xian Guo, Ben Chen, Siyuan Wang, Ying Yang, Mingyue Cheng, Chenyi Lei, Yuqing Ding, Han Li
2026Online Capacitated General Matching with Knapsack.
Ruoyu Wu, Wei Bao, Ben Liang, Hequn Wang
2026Online Conformal Selection with Accept-to-Reject Changes.
Kangdao Liu, Huajun Xi, Chi Man Vong, Hongxin Wei
2026Online Cross-Modal Hashing with Expanding Label Space.
Wentao Fan, Chao Zhang, Chunlin Chen, Huaxiong Li
2026Online Fair Allocations with Binary Valuations and Beyond.
Yuanyuan Wang, Tianze Wei
2026Online Linear Regression with Paid Stochastic Features.
Nadav Merlis, Kyoungseok Jang, Nicolò Cesa-Bianchi
2026Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution.
Manhin Poon, Xiangxiang Dai, Xutong Liu, Fang Kong, John C. S. Lui, Jinhang Zuo
2026Online Multi-Relational Clustering with Dominant View Mining.
Zhengzhong Zhu, Pei Zhou, Dongsheng Wang, Li Cheng, Jiangping Zhu
2026Online Robust Planning Under Model Uncertainty: A Sample-Based Approach.
Tamir Shazman, Idan Lev-Yehudi, Ron Benchetrit, Vadim Indelman
2026OnlineBootKNN: An Unsupervised Framework for Detecting Anomalies in Spectral Data Streams.
Nicolas Rojas Varela, Julien Ah-Pine, Engelbert Mephu Nguifo
2026Open-World 3D Scene Graph Generation for Retrieval-Augmented Reasoning.
Fei Yu, Quan Deng, Shengeng Tang, Yuehua Li, Lechao Cheng
2026Open-World Deepfake Attribution via Confidence-Aware Asymmetric Learning.
Haiyang Zheng, Nan Pu, Wenjing Li, Teng Long, Nicu Sebe, Zhun Zhong
2026Open-World Object Counting in Videos.
Niki Amini-Naieni, Andrew Zisserman
2026OpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model.
Xingcheng Zhou, Xuyuan Han, Feng Yang, Yunpu Ma, Volker Tresp, Alois Knoll
2026OpenScan: A Benchmark for Generalized Open-Vocabulary 3D Scene Understanding.
Youjun Zhao, Jiaying Lin, Shuquan Ye, Qianshi Pang, Rynson W. H. Lau
2026Operationalizing Pluralistic Values in Large Language Model Alignment Reveals Trade-offs in Safety, Inclusivity, and Model Behavior.
Dalia Ali, Dora Zhao, Allison Koenecke, Orestis Papakyriakopoulos
2026Opt3DGS: Optimizing 3D Gaussian Splatting with Adaptive Exploration and Curvature-Aware Exploitation.
Ziyang Huang, Jiagang Chen, Jin Liu, Shunping Ji
2026OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time Optimization.
Jiazheng Xing, Hai Ci, Hongbin Xu, Hangjie Yuan, Yong Liu, Mike Zheng Shou
2026OptScale: Probabilistic Optimality for Inference-time Scaling.
Youkang Wang, Jian Wang, Rubing Chen, Xiao-Yong Wei
2026OptiHive: Ensemble Selection for LLM-Based Optimization via Statistical Modeling.
Maxime Bouscary, Saurabh Amin
2026Optimal Look-back Horizon for Time Series Forecasting in Federated Learning.
Dahao Tang, Nan Yang, Yanli Li, Zhiyu Zhu, Zhibo Jin, Dong Yuan
2026Optimal Welfare in Noncooperative Network Formation Under Attack.
Natan Doubez, Pascal Lenzner, Marcus Wunderlich
2026Optimally Auditing Adversarial Agents.
Sanmay Das, Fang-Yi Yu, Yuang Zhang
2026Optimisation Problems in Constrained Machine Learning.
Ruihan Zhang
2026Optimization Method for Surrogate Function in Spiking Neural Networks Based on Membrane Potential Distribution.
Qi Sun, Zhen Cao, Kaige Geng, Ziyi Zhang, Biao Hou
2026Optimization and Robustness-Informed Membership Inference Attacks for LLMs.
Zichen Song, Qixin Zhang, Ming Li, Yao Shu
2026Optimization of Multi-Agent Flying Sidekick Traveling Salesman Problem over Road Networks.
Ruixiao Yang, Chuchu Fan
2026Optimized Algorithms for Text Clustering with LLM-Generated Constraints.
Chaoqi Jia, Weihong Wu, Longkun Guo, Zhigang Lu, Chao Chen, Kok-Leong Ong
2026Optimized Distortion in Linear Social Choice.
Luise Ge, Gregory Kehne, Yevgeniy Vorobeychik
2026Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget.
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, Stéphane Verguet
2026Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation.
Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu
2026Optimizing Preferential Rate in Retail Lending with Causal Inference and Domain Adaptation.
Jimyung Choi, Yujin Lee, Hyeryeong Oh, Sumin Shin, Jaehyun Kim, Wooyoung Kim, Kee-Eung Kim
2026Optimizing Product Provenance Verification Using Data Valuation Methods.
Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan
2026Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility.
Hao Jiang, Yixin Xu, Pradeep Varakantham
2026Optimizing Urban Service Allocation with Time-Constrained Restless Bandits.
Yi Mao, Andrew Perrault
2026OrcheCause Agent: From Textual Knowledge to End-to-End Causal Inference.
Jinseok Yang, Jung-Hee Kim, Juhyun Lyu, Soonyoung Lee, Woohyung Lim
2026Order-Preserving Dimension Reduction for Multimodal Semantic Embedding.
Chengyu Gong, Gefei Shen, Luanzheng Guo, Nathan R. Tallent, Dongfang Zhao
2026Ordered Local Momentum for Asynchronous Distributed Learning Under Arbitrary Delays.
Chang-Wei Shi, Shi-Shang Wang, Wu-Jun Li
2026Ordered Objectives in Maximum Satisfiability.
Jeremias Berg, André Schidler, Matti Järvisalo
2026Ordinal Secretaries with Advice.
Hasti Nourmohammadi Sigaroudi, Ying Cao, Bo Sun, Xiaoqi Tan
2026OrgaCast: A Trustworthy Spatiotemporal Diffusion Model for Fluorescence Organoid Forecasting.
Dawei Gao, Angello Huerta Gomez, Mingchen Li, Marcel El-Mokahal, Huaxiao Yang, Yunhe Feng
2026Organ-Aware Routing Mixture-of-Retrieval Augmented Generation for Fetal Ultrasound Reporting.
Bin Pu, Siyu Wang, Rongbin Li, Xinpeng Ding, Lei Zhao, Chaoqi Chen, Shengli Li, Kenli Li
2026Orion: Steering Personalized Web Agents via Global-Micro Profiling and Adaptive Intent Tracking.
Die Hu, Jingguo Ge, Weitao Tang, He Kong, Liangxiong Li, Bingzhen Wu
2026Orthogonal Spatial-temporal Distributional Transfer for 4D Generation.
Wei Liu, Shengqiong Wu, Bobo Li, Haoyu Zhao, Hao Fei, Mong-Li Lee, Wynne Hsu
2026Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models.
Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Yi Yang, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
2026OscuFit: Learning to Fit Osculating Implicit Quadrics for Point Clouds.
Rao Fu, Qian Li, Liang Yu, Jianmin Zheng
2026Other Vehicle Trajectories Are Also Needed: A Driving World Model Unifies Ego-Other Vehicle Trajectories in Video Latent Space.
Jian Zhu, Zhengyu Jia, Tian Gao, Jiaxin Deng, Shidi Li, Lang Zhang, Fu Liu, Peng Jia, Xianpeng Lang
2026Otter: Mitigating Background Distractions of Wide-Angle Few-Shot Action Recognition with Enhanced RWKV.
Wenbo Huang, Jinghui Zhang, Zhenghao Chen, Guang Li, Lei Zhang, Yang Cao, Fang Dong, Takahiro Ogawa, Miki Haseyama
2026OursFed: Provable Group Fairness-Aware Federated Learning Against Distrust and Fragility.
Yun Xin, Jianfeng Lu, Gang Li, Shuqin Cao, Guanghui Wen, Kehao Wang
2026Out-of-Context Misinformation Detection via Variational Domain-Invariant Learning with Test-Time Training.
Xi Yang, Han Zhang, Zhijian Lin, Yibiao Hu, Hong Han
2026Out-of-Distribution Detection with Positive and Negative Prompt Supervision Using Large Language Models.
Zhixia He, Chen Zhao, Minglai Shao, Xintao Wu, Xujiang Zhao, Dong Li, Qin Tian, Linlin Yu
2026Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy.
Bram Grooten, Patrick MacAlpine, Kaushik Subramanian, Peter Stone, Peter R. Wurman
2026Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging.
Qiyuan Zhu, Dezhi Li, Lujun Li, Xiaoyu Qin, Wei Li, Hao Gu, Hua Xu, Sirui Han, Yike Guo
2026OwlCap: Harmonizing Motion-Detail for Video Captioning via HMD-270K and Caption Set Equivalence Reward.
Chunlin Zhong, Qiuxia Hou, Zhangjun Zhou, Yanhao Zhang, Shuang Hao, Haonan Lu, He Tang, Xiang Bai
2026Oxytrees: Model Trees for Bipartite Learning.
Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2026P-SLCR: Unsupervised Point Cloud Semantic Segmentation via Prototypes Structure Learning and Consistent Reasoning.
Lixin Zhan, Jie Jiang, Tianjian Zhou, Yukun Du, Yan Zheng, Xuehu Duan
2026P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering.
Wenlin Zhong, Chengyuan Liu, Yiquan Wu, Bovin Tan, Changlong Sun, Yi Wang, Xiaozhong Liu, Kun Kuang
2026PA-FAS: Towards Interpretable and Generalizable Multimodal Face Anti-Spoofing via Path-Augmented Reinforcement Learning.
Yingjie Ma, Xun Lin, Yong Xu, Weicheng Xie, Zitong Yu
2026PADiff: Predictive and Adaptive Diffusion Policies for Ad Hoc Teamwork.
Hohei Chan, Xinzhi Zhang, Antao Xiang, Weinan Zhang, Mengchen Zhao
2026PAGE: A Unified Approach for Federated Graph Unlearning.
Yuming Ai, Xunkai Li, Jiaqi Chao, Bowen Fan, Zhengyu Wu, Yinlin Zhu, Rong-Hua Li, Guoren Wang
2026PAGER: Proactive Monitoring Agent for Enterprise AI Assistant.
Sujan Dutta, Junior Francisco Garcia Ayala, Pranav Pujar, Sai Sree Harsha, Dan Luo, Nikhil Vasudeva, Bikas Saha, Pritom Baruah, Yunyao Li
2026PAGPL: Privacy-Aware Graph Prompt Learning Scheme via Adaptive Perturbation-Estimated Topology Recovery.
Ju Jia, Jiansen Song, Jingxuan Yu, Jiabao Guo, Xiaoshuang Jia, Di Wu, Yali Yuan, Guang Cheng
2026PAL: Personal Adaptive Learner.
Megha Chakraborty, Darssan Eswaramoorthi, Madhur Thareja, Het Riteshkumar Shah, Finlay Palmer, Aryaman Bahl, Michelle A. Ihetu, Amit P. Sheth
2026PANDA - Patch and Distribution-Aware Augmentation for Long-Tailed Exemplar-Free Continual Learning.
Siddeshwar Raghavan, Jiangpeng He, Fengqing Zhu
2026PANDA: Empowering Small Language Models for Proactive Dialogue Through Agent-Based Synthesis (Student Abstract).
Rongyu Zhang, Dingyuan Zhang, Haopeng Li
2026PANSim: Visualization Tool for Planning and Acting against Nature.
Erol Medencevic, Jakub Med, Lukás Chrpa
2026PARS: Partial-Label-Learning-inspired Recommender Systems.
Shanshan Ye, Kezhi Lu, Guangquan Zhang, Jie Lu
2026PASA: Progressive-Adaptive Spectral Augmentation for Automated Auscultation in Data-Scarce Environments.
Ying Wang, Guoheng Huang, Xueyuan Gong, Xinxin Wang, Xiaochen Yuan
2026PASE: Leveraging the Phonological Prior of WavLM for Low-Hallucination Generative Speech Enhancement.
Xiaobin Rong, Qinwen Hu, Mansur Yesilbursa, Kamil Wójcicki, Jing Lu
2026PASS: Probabilistic Agentic Supernet Sampling for Interpretable and Adaptive Chest X-Ray Reasoning.
Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu
2026PATexGS: Perceptual-Adaptive Texture Scheduling for Visual Coherence in Textured Gaussian Splatting.
Yuesong Wang, Dounian Ma, Xiaoyu Chen, Tao Guan
2026PBR3DGen: A VLM-Guided Mesh Generation with High-Quality PBR Texture.
Xiaokang Wei, Bowen Zhang, Xianghui Yang, Yuxuan Wang, Chunchao Guo, Xi Zhao, Yan Luximon
2026PC-CrossDiff: Point-Cluster Dual-Level Cross-Modal Differential Attention for Unified 3D Referring and Segmentation.
Wenbin Tan, Jiawen Lin, Fangyong Wang, Yuan Xie, Yong Xie, Yachao Zhang, Yanyun Qu
2026PC-Flow: Preference Alignment in Flow Matching via Classifier.
Shaomeng Wang, He Wang, Longquan Dai, Jinhui Tang
2026PCFormer: Accelerating Privacy-preserving Transformer Inference by Partition and Combination.
Bo Zeng, Zhi Pang, Yuyang Zhang, Kai Zhao, Tian Wu, Geying Yang, Lina Wang, Run Wang
2026PCGS: Progressive Compression of 3D Gaussian Splatting.
Yihang Chen, Mengyao Li, Qianyi Wu, Weiyao Lin, Mehrtash Harandi, Jianfei Cai
2026PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning.
Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang
2026PCoKG: Personality-aware Commonsense Reasoning with Debate.
Weijie Li, Zhongqing Wang, Guodong Zhou
2026PDE-Driven Spatiotemporal Generative Modeling for Multilead ECG Synthesis.
Yakir Yehuda, Kira Radinsky
2026PEFT-BoA: Parameter-Efficient Fine-Tuning with Bag-of-Adapters for Multi-Modal Object Re-identification.
Hongchao Li, Guangxing Liu, Xixi Wang, Baihe Liang, Yonglong Luo
2026PEFT-DML: Parameter-Efficient Fine-Tuning Deep Metric Learning for Robust Multi-Modal 3D Object Detection in Autonomous Driving (Student Abstract).
Abdolazim Rezaei, Mehdi Sookhak
2026PEGNet: A Physics-Embedded Graph Network for Long-Term Stable Multiphysics Simulation.
Can Yang, Zhenzhong Wang, Junyuan Liu, Yunpeng Gong, Min Jiang
2026PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing.
Xiaoshan Yu, Ziwei Huang, Shangshang Yang, Ziwen Wang, Haiping Ma, Xingyi Zhang
2026PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution.
Xiao Kang, Xingbo Liu, Shuo Pan, Xuening Zhang, Xiushan Nie, Yilong Yin
2026PEOD: A Pixel-Aligned Event-RGB Benchmark for Object Detection Under Challenging Conditions.
Luoping Cui, Hanqing Liu, Mingjie Liu, Endian Lin, Donghong Jiang, Yuhao Wang, Chuang Zhu
2026PET2Rep: Towards Vision-Language Model-Drived Automated Radiology Report Generation for Positron Emission Tomography.
Yichi Zhang, Wenbo Zhang, Zehui Ling, Gang Feng, Sisi Peng, Deshu Chen, Yuchen Liu, Hongwei Zhang, Shuqi Wang, Lanlan Li, Limei Han, Yuan Cheng, Zixin Hu, Yuan Qi, Le Xue
2026PFAvatar: Pose-Fusion 3D Personalized Avatar Reconstruction from Real-World Outfit-of-the-Day Photos.
Dianbing Xi, Guoyuan An, Jingsen Zhu, Zhijian Liu, Yuan Liu, Ruiyuan Zhang, Jiayuan Lu, Yuchi Huo, Rui Wang
2026PGMamba: A Physical Model-Guided Global Mamba for Underwater Image Enhancement.
Zijun Tan, Chuan Fu, Tan Guo, Zhixiong Nan, Pengzhan Zhou, Xinggan Peng, Fulin Luo
2026PHOTONS: Pose-Free Human-Centric Photo-Realistic Real-Time Novel View Synthesis from Sparse Views.
Yongyang Cheng, Boqin Qin, Zhao Hui, Xu Chen, Tao Zhang, Shang Sun, Haiquan Kang, Xiaojie Xu, Junwei Lv, Lei Yang, Xinyu Liu, Feng Jiang
2026PHPFND: Detecting Fake News via Post-Hoc Processing of LLMs Hallucination.
Jinke Ma, Jiachen Ma, Wei Zhang, Yong Liu
2026PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA.
Baisong Li, Xingwang Wang, Haixiao Xu
2026PIMRL: Physics-Informed Multi-Scale Recurrent Learning for Burst-Sampled Spatiotemporal Dynamics.
Han Wan, Qi Wang, Yuan Mi, Rui Zhang, Hao Sun
2026PINGS-X: Physics-Informed Normalized Gaussian Splatting with Axes Alignment for Efficient Super-Resolution of 4D Flow MRI.
Sun Jo, Seok Young Hong, JinHyun Kim, Seungmin Kang, Ahjin Choi, Don-Gwan An, Simon Song, Je Hyeong Hong
2026PINet: Improving the Stability of Prototype Networks via Phantasia-Inspired Uncertain Representations.
Ho Kyung Shin, Soeun Bae, Sang Min Kim, Byoung Chul Ko, Woo-Jeoung Nam
2026PIPHEN: Physical Interaction Prediction with Hamiltonian Energy Networks.
Kewei Chen, Yayu Long, Mingsheng Shang
2026PITE: Multi-Prototype Alignment for Individual Treatment Effect Estimation.
Fuyuan Cao, Jiaxuan Zhang, Xiaoli Li
2026PKR-QA: A Benchmark for Procedural Knowledge Reasoning with Knowledge Module Learning.
Thanh-Son Nguyen, Hong Yang, Tzeh Yuan Neoh, Hao Zhang, Ee Yeo Keat, Basura Fernando
2026PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction.
Shunfan Li, Jiangkai Long, Xin Zou, Chang Tang, Yuanyuan Liu, Xiao He, Xuesong Yan
2026PLUM-Net: Prototype-Induced Label Structuring for Disentangled Multimodal Representation Network.
Kehan Wang, Huan Zhao, Yong Wei, Xupeng Zha, Guanghui Ye, Cheng Zhu, Yiming Liu, Zixing Zhang
2026PLaST: Towards Paralinguistic-aware Speech Translation.
Yi Li, Rui Zhao, Ruiquan Zhang, Jinsong Su, Daimeng Wei, Min Zhang, Yidong Chen
2026PMGS: Reconstruction of Projectile Motion Across Large Spatiotemporal Spans via 3D Gaussian Splatting.
Yijun Xu, Jingrui Zhang, Yuhan Chen, Dingwen Wang, Lei Yu, Chu He
2026PMPGuard: Catching Pseudo-Matched Pairs in Remote Sensing Image-Text Retrieval.
Pengxiang Ouyang, Qing Ma, Zheng Wang, Cong Bai
2026POLICYGRID: Causal Discovery for Adaptive Policy Optimization in Embodied Agents (Student Abstract).
Taqiya Ehsan, Shuren Xia, Jorge Ortiz
2026PPFL: A Parameter Behavior-Driven Plug-in Personalization Engine for Federated Learning.
Qianyue Cao, Zongwei Zhu, Zirui Lian, Rui Zhang, Boyu Li, Yi Xiong, Xuehai Zhou
2026PPGPT: Transferring Next-Token Modeling from Language to PPG Signals.
Zexing Zhang, Huimin Lu, Qingxin Zhao
2026PPS: An Efficient Java-based Simulator for Time-Discrete PDDL+.
Enrico Scala, Francesco Percassi, Mauro Vallati
2026PQDA: Policy-Aligned Q-Consistency Meets Decoupled Augmentation for Generalizable Visual RL.
Yun Zhou, Yuqiang Wu, Chunyu Tan
2026PRAGWORLD: A Benchmark Evaluating LLMs' Local World Model Under Minimal Linguistic Alterations and Conversational Dynamics.
Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya
2026PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation.
Abhishek Divekar, Anirban Majumder
2026PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation.
Zhehao Tan, Yihan Jiao, Dan Yang, Junwei Liu, Lei Liu, Jie Feng, Duolin Sun, Yue Shen, Jian Wang, Peng Wei, Jinjie Gu
2026PRIME: Planning and Retrieval-Integrated Memory for Enhanced Reasoning.
Hieu Tran, Zonghai Yao, Nguyen Luong Tran, Zhichao Yang, Feiyun Ouyang, Shuo Han, Razieh Rahimi, Hong Yu
2026PRIMP: PRobabilistically-Informed Motion Primitives for Efficient Affordance Learning from Demonstration (Abstract Reprint).
Sipu Ruan, Weixiao Liu, Xiaoli Wang, Xin Meng, Gregory S. Chirikjian
2026PRISM: Privacy-Aware Routing for Adaptive Cloud-Edge LLM Inference via Semantic Sketch Collaboration.
Junfei Zhan, Haoxun Shen, Zheng Lin, Tengjiao He
2026PROMISE: Prompt-Attentive Hierarchical Contrastive Learning for Robust Cross-Modal Representation with Missing Modalities.
Jiajun Chen, Sai Cheng, Yutao Yuan, Yirui Zhang, Haitao Yuan, Peng Peng, Yi Zhong
2026PSA-MF: Personality-Sentiment Aligned Multi-Level Fusion for Multimodal Sentiment Analysis.
Heng Xie, Kang Zhu, Zhengqi Wen, Jianhua Tao, Xuefei Liu, Ruibo Fu, Changsheng Li
2026PSEO: Optimizing Post-hoc Stacking Ensemble Through Hyperparameter Tuning.
Beicheng Xu, Wei Liu, Keyao Ding, Yupeng Lu, Bin Cui
2026PSPO: Prompt-Level Prioritization and Experience-Weighted Smoothing for Efficient Policy Optimization.
Xinxin Zhu, Ying He, Haowen Hou, Ruichong Zhang, Nianbo Zeng, Yulin Peng, Jiongfeng Fang, F. Richard Yu
2026PT-DCFR: Accelerating and Improving Deep CFR Using Population Based Training (Student Abstract).
Dingzhong Cai, Huale Li, Hang Xiao, Shuhan Qi, Jiajia Zhang
2026PUFM: Efficient Point Cloud Upsampling via Flow Matching.
Zhi-Song Liu, Chenhang He, Yakun Ju, Lei Li
2026PUNO: A Neural Operator Framework for Point Cloud Upsampling.
Zijian Xiao, Yining Xu, Yingjie Huang, Li Yao
2026PaSE: Prototype-aligned Calibration and Shapley-based Equilibrium for Multimodal Sentiment Analysis.
Kang He, Boyu Chen, Yuzhe Ding, Fei Li, Chong Teng, Donghong Ji
2026Pacing Equilibria in Second-Price Auctions with Few Buyers.
Yonglei Yan, Zihe Wang, Zhengyang Liu
2026Pairing-free Group-level Knowledge Distillation for Robust Gastrointestinal Lesion Classification in White-Light Endoscopy.
Qiang Hu, Qimei Wang, Yingjie Guo, Qiang Li, Zhiwei Wang
2026Palimpsest: Reconciling the CISS Trilemma for Incremental Nuclei Segmentation.
Jiajia Li, Huisi Wu
2026PanFlow: Decoupled Motion Control for Panoramic Video Generation.
Cheng Zhang, Hanwen Liang, Donny Y. Chen, Qianyi Wu, Konstantinos N. Plataniotis, Camilo Cruz Gambardella, Jianfei Cai
2026PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer.
Xiaoshui Huang, Tianlin Zhu, Yifan Zuo, Xue Xia, Zonghan Wu, Jiebin Yan, Dingli Hua, Zongyi Xu, Yuming Fang, Jian Zhang
2026Panda: Test-Time Adaptation with Negative Data Augmentation.
Ruxi Deng, Wenxuan Bao, Tianxin Wei, Jingrui He
2026PandemIQ Llama: A Domain-Adapted Foundation Model for Enhanced Pandemic Intelligence.
Jingmei Yang, Mahtab Talaei, Britta Lassmann, Nahid Bhadelia, Ioannis Ch. Paschalidis
2026Pano-GS: Perception-Aware Gaussian Optimization with Gradient Consistency and Multi-Criteria Densification for High-Quality Rendering.
Yang Deng, Zhanke Wang, Jiahao Wu, Jie Liang, Jingui Ma, Yang Hu, Ronggang Wang
2026PanoNav: Mapless Zero-Shot Object Navigation with Panoramic Scene Parsing and Dynamic Memory.
Qunchao Jin, Yilin Wu, Changhao Chen
2026Pansharpening for Thin-Cloud Contaminated Remote Sensing Images: A Unified Framework and Benchmark Dataset.
Songcheng Du, Yang Zou, Jiaxin Li, Mingxuan Liu, Ying Li, Changjing Shang, Qiang Shen
2026Paper Folding Puzzles: Can Multimodal Large Language Models Perform Spatial Reasoning?
Dibin Zhou, Yantao Xu, Zongming Huang, Zengwei Yan, Wenhao Liu, Yongwei Miao, Jianfeng Ren, Fuchang Liu
2026ParaDySe: A Parallel Strategy Switching Framework for Dynamic Sequences in Transformer-based Large Language Models.
Zhixin Ou, Peng Liang, Linbo Qiao, Jianchen Han, Baihui Liu
2026ParaMETA: Towards Learning Disentangled Paralinguistic Speaking Styles Representations from Speech.
Haowei Lou, Hye-Young Paik, Wen Hu, Lina Yao
2026Parallel Training Time-to-First-Spike Spiking Neural Networks.
Kaiwei Che, Wei Fang, Peng Xue, Yifan Huang, Zhengyu Ma, Yonghong Tian
2026Parallelizable Riemannian Alternating Direction Method of Multipliers for Non-convex Pose Graph Optimization.
Xin Chen, Chunfeng Cui, Deren Han, Liqun Qi
2026Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning.
Benliu Qiu, Heqian Qiu, Lanxiao Wang, Taijin Zhao, Yu Dai, Lili Pan, Hongliang Li
2026Parameter-, Memory-, Time-Efficient Multi-Task Dense Vision Adaptation.
Haiming Yao, Wei Luo, Qiyu Chen, Jianxing Liao, Wei You
2026Parameter-Free Clustering via Self-Supervised Consensus Maximization.
Lijun Zhang, Suyuan Liu, Siwei Wang, Shengju Yu, Xueling Zhu, Miaomiao Li, Xinwang Liu
2026Parameter-Free Fine-tuning via Redundancy Elimination for Vision Foundation Models.
Jiahuan Long, Tingsong Jiang, Wen Yao, Yizhe Xiong, Zhengqin Xu, Shuai Jia, Hanqing Liu, Chao Ma
2026Parameter-free Optimal Rates for Nonlinear Semi-Norm Contractions with Applications to Q-Learning.
Ankur Naskar, Gugan Thoppe, Vijay Gupta
2026Parameterized Abstract Interpretation for Transformer Verification.
Pei Huang, Dennis Wei, Omri Isac, Haoze Wu, Min Wu, Clark W. Barrett
2026Parametric Pareto Set Learning for Expensive Multi-Objective Optimization.
Ji Cheng, Bo Xue, Qingfu Zhang
2026Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs.
Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026Pareto-Grid-Guided Large Language Models for Fast and High-Quality Heuristics Design in Multi-Objective Combinatorial Optimization.
Ha Minh Hieu, Hung Phan, Tung Duy Doan, Tung Dao, Cong Dao Tran, Huynh Thi Thanh Binh
2026ParetoHqD: Fast Offline Multiobjective Alignment of Large Language Models Using Pareto High-Quality Data.
Haoran Gu, Handing Wang, Yi Mei, Mengjie Zhang, Yaochu Jin
2026Partial Action Replacement: Tackling Distribution Shift in Offline MARL.
Yue Jin, Giovanni Montana
2026Partial Fairness Awareness: Belief-Guided Strategic Mechanism for Strategic Agents.
Xinpeng Lv, Chunyuan Zheng, Yunxin Mao, Renzhe Xu, Hao Zou, Shanzhi Gu, Liyang Xu, Huan Chen, Yuanlong Chen, Wenjing Yang, Haotian Wang
2026PartialNet: Compute Less, Perform Better.
Haiduo Huang, Tian Xia, Wenzhe Zhao, Pengju Ren
2026Partially Shared Concept Bottleneck Models.
Delong Zhao, Qiang Huang, Di Yan, Yiqun Sun, Jun Yu
2026PatchET: Learning Enzyme Temperature Properties Through Patch-Based Neural Architectures.
Ziqi Zhang, Runze Yang, Longbing Cao, Zhaohong Deng
2026Path-Constrained Haptic Motion Guidance via Adaptive Phase-Based Admittance Control (Abstract Reprint).
Erfan Shahriari, Petr Svarný, Seyed Ali Baradaran Birjandi, Matej Hoffmann, Sami Haddadin
2026PathFLIP: Fine-grained Language-Image Pretraining for Versatile Computational Pathology.
Fengchun Liu, Songhan Jiang, Linghan Cai, Ziyue Wang, Yongbing Zhang
2026PathMind: A Retrieve-Prioritize-Reason Framework for Knowledge Graph Reasoning with Large Language Models.
Yu Liu, Xixun Lin, Yanmin Shang, Yangxi Li, Shi Wang, Yanan Cao
2026PathRAG: Pruning Graph-based Retrieval Augmented Generation with Relational Paths.
Boyu Chen, Zirui Guo, Zidan Yang, Yuluo Chen, Junze Chen, Zhenghao Liu, Chuan Shi, Cheng Yang
2026Patho-AgenticRAG: Towards Multimodal Agentic Retrieval-Augmented Generation for Pathology VLMs via Reinforcement Learning.
Wenchuan Zhang, Jingru Guo, Hengzhe Zhang, Penghao Zhang, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2026Patho-R1: A Multimodal Reinforcement Learning-Based Pathology Expert Reasoner.
Wenchuan Zhang, Penghao Zhang, Jingru Guo, Tao Cheng, Jie Chen, Shuwan Zhang, Zhang Zhang, Yuhao Yi, Hong Bu
2026Paths Not Taken: Structure-Based Pruning in PSDD Learning and Inference.
Cory J. Butz, Alejandro Santoscoy-Rivero, Camilla E. Lewis
2026PatientVLM Meets DocVLM: Pre-Consultation Dialogue Between Vision-Language Models for Efficient Diagnosis.
K. Lokesh, Abhirama Subramanyam Penamakuri, Uday Agarwal, Apoorva Challa, Shreya K. Gowda, Somesh Gupta, Anand Mishra
2026Pb4U-GNet: Resolution-Adaptive Garment Simulation via Propagation-before-Update Graph Network.
Aoran Liu, Kun Hu, Clinton Ansun Mo, Qiuxia Wu, Wenxiong Kang, Zhiyong Wang
2026PeerCoPilot: A Language Model-Powered Assistant for Behavioral Health Organizations.
Gao Mo, Naveen Janaki Raman, Megan Chai, Cindy Peng, Shannon Pagdon, Nev Jones, Hong Shen, Margaret Swarbrick, Fei Fang
2026PepCCD: A Contrastive Conditioned Diffusion Framework for Target-Specific Peptide Generation.
Jun Zhang, Yangyang Zhou, Tiantian Zhu, Zexuan Zhu
2026PerTouch: VLM-Driven Agent for Personalized and Semantic Image Retouching.
Zewei Chang, Zheng-Peng Duan, Jianxing Zhang, Chun-Le Guo, Siyu Liu, Hyungju Chun, Hyunhee Park, Zikun Liu, Chongyi Li
2026Perceive More with Less: LiDAR Point Cloud Compression at Just Recognizable Distortion for 3D Scene Understanding.
Miaohui Wang, Runnan Huang, Taojun Liu, Shuyuan Lin, Ye Liu, Yun Song
2026Perceive, Act and Correct: Confidence Is Not Enough for Hyperspectral Classification.
Muzhou Yang, Wuzhou Quan, Mingqiang Wei
2026Perceiving the Knowledge Boundary: Uncertainty-Guided Exploration and Imagination for World Models.
Zhenxian Liu, Peixi Peng, Yangru Huang, Yonghong Tian
2026Perception in Plan: Coupled Perception and Planning for End-to-End Autonomous Driving.
Bozhou Zhang, Jingyu Li, Nan Song, Li Zhang
2026Perceptual Quality Assessment of 3D Gaussian Splatting: A Subjective Dataset and Prediction Metric.
Zhaolin Wan, Yining Diao, Jingqi Xu, Hao Wang, Zhiyang Li, Xiaopeng Fan, Wangmeng Zuo, Debin Zhao
2026PeriUn: Enhancing Unlearning by Selectively Forgetting Peripheral Samples.
Hee Bin Yoo, Dong-Sig Han, Jaein Kim, Byoung-Tak Zhang
2026Permutation Equivariant Framelet-based Hypergraph Neural Networks.
Ming Li, Yi Wang, Chengling Gao, Lu Bai, Yujie Fang, Xiaosheng Zhuang, Pietro Lio
2026Persistent Autoregressive Mapping with Traffic Rules for Autonomous Driving.
Shiyi Liang, Xinyuan Chang, Changjie Wu, Huiyuan Yan, Yifan Bai, Xinran Liu, Hang Zhang, Yujian Yuan, Shuang Zeng, Mu Xu, Xing Wei
2026Persistent Backdoor Attacks Under Continual Fine-Tuning of LLMs.
Jing Cui, Yufei Han, Jianbin Jiao, Junge Zhang
2026Persistent Instability in LLM's Personality Measurements: Effects of Scale, Reasoning, and Conversation History.
Tommaso Tosato, Saskia Helbling, Yorguin José Mantilla Ramos, Mahmood Hegazy, Alberto Tosato, David John Lemay, Irina Rish, Guillaume Dumas
2026Persona, Ego, Shadow, and Self: A Map of the Soul Framework for Proto-Emotional Homeostasis in AI.
Napassorn Litchiowong
2026Personality-guided Public-Private Domain Disentangled Hypergraph-Former Network for Multimodal Depression Detection.
Changzeng Fu, Shiwen Zhao, Yunze Zhang, Zhongquan Jian, Shiqi Zhao, Chaoran Liu
2026Personalize Anything for Free with Diffusion Transformer.
Haoran Feng, Zehuan Huang, Lin Li, Lu Sheng
2026Personalize Before Retrieve: LLM-based Personalized Query Expansion for User-Centric Retrieval.
Yingyi Zhang, Pengyue Jia, Derong Xu, Yi Wen, Xianneng Li, Yichao Wang, Wenlin Zhang, Xiaopeng Li, Weinan Gan, Huifeng Guo, Yong Liu, Xiangyu Zhao
2026Personalize Your Gaussian: Consistent 3D Scene Personalization from a Single Image.
Yuxuan Wang, Xuanyu Yi, Qingshan Xu, Yuan Zhou, Long Chen, Hanwang Zhang
2026Personalized Federated Graph-Level Clustering Network.
Jingxin Liu, Wenxuan Tu, Renda Han, Junlong Wu, Haotian Wang, Guohui Liu, Xiangyan Tang, Yue Yang
2026Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching.
Jiacheng Cheng, Xu Zhang, Guanghui Qiu, Yifang Zhang, Yinchuan Li, Kaiyuan Feng
2026Perspective from a Broader Context: Can Room Style Knowledge Help Visual Floorplan Localization?
Bolei Chen, Shengsheng Yan, Yongzheng Cui, Jiaxu Kang, Ping Zhong, Jianxin Wang
2026Perturb Your Data: Paraphrase-Guided Training Data Watermarking.
Pranav Shetty, Mirazul Haque, Petr Babkin, Zhiqiang Ma, Xiaomo Liu, Manuela Veloso
2026Perturbing Best Responses in Zero-Sum Games.
Adam Dziwoki, Rostislav Horcík
2026Perturbing to Preserve: Defending Fragile Knowledge in Online Continual Learning.
Dulan Zhou, Zijian Gao, Kele Xu
2026Phantom Menace: Exploring and Enhancing the Robustness of VLA Models Against Physical Sensor Attacks.
Xuancun Lu, Jiaxiang Chen, Shilin Xiao, Zizhi Jin, Zhangrui Chen, Hanwen Yu, Bohan Qian, Ruochen Zhou, Xiaoyu Ji, Wenyuan Xu
2026PharmaQA: Prompt-Based Molecular Representation Learning via Pharmacophore-Oriented Question Answering.
Chengwei Ai, Qiaozhen Meng, Mengwei Sun, Ruihan Dong, Hongpeng Yang, Shiqiang Ma, Xiaoyi Liu, Cheng Liang, Fei Guo
2026Phased One-Step Adversarial Equilibrium for Video Diffusion Models.
Jiaxiang Cheng, Bing Ma, Xuhua Ren, Hongyi Henry Jin, Kai Yu, Peng Zhang, Wenyue Li, Yuan Zhou, Tianxiang Zheng, Qinglin Lu
2026PhyPlan: Learning to Plan Tasks with Generalizable and Rapid Physical Reasoning for Embodied Manipulation.
Ankit Kanwar, Hartej Soin, Abhinav Barnawal, Mudit Chopra, Harshil Vagadia, Tamajit Banerjee, Shreshth Tuli, Rohan Paul, Souvik Chakraborty
2026Phys-Liquid: A Physics-Informed Dataset for Estimating 3D Geometry and Volume of Transparent Deformable Liquids.
Ke Ma, Yizhou Fang, Jean-Baptiste Weibel, Shuai Tan, Xinggang Wang, Yang Xiao, Yi Fang, Tian Xia
2026PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems.
Qi Guo, Xiaojun Jia, Shanmin Pang, Simeng Qin, Lin Wang, Ju Jia, Yang Liu, Qing Guo
2026Physical-regularized Hierarchical Generative Model for Metallic Glass Structural Generation and Energy Prediction.
Qiyuan Chen, Ajay Annamareddy, Ying-Fei Li, Dane Morgan, Bu Wang
2026Physically-Based LiDAR Smoke Simulation for Robust 3D Object Detection.
Shijun Zheng, Yu Guo, Weiquan Liu, Yu Zang, Siqi Shen, Ming Cheng, Cheng Wang
2026Physically-Informed Flow Matching with Graph Neural Networks for Complex Fluid Dynamics.
Xiaozhuang Song, Tianshu Yu
2026Physics Consistent World Models via Schrödinger-Bridge Optimal Transport for Computational Imaging and 3D-Consistent Video Generations.
Abhiram Srivatsa Kadaba
2026Physics-Aware Accelerated Unrolling Model for Sparse-View CT Reconstruction.
Shaojie Guo, Yingying Fang, Junkang Zhang, Yan Wang
2026Physics-Informed Approach for Exploratory Hamilton-Jacobi-Bellman Equations via Policy Iterations.
Yeongjong Kim, Namkyeong Cho, Minseok Kim, Yeoneung Kim
2026Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design.
Junhua Liu, Fanfan Lin, Xinze Li, Shuai Zhao, Kwan Hui Lim
2026Physics-Informed Deformable Gaussian Splatting: Towards Unified Constitutive Laws for Time-Evolving Material Field.
Haoqin Hong, Ding Fan, Fubin Dou, Zhi-Li Zhou, Haoran Sun, Congcong Zhu, Jingrun Chen
2026Physics-Informed Koopman Neural Estimation of the Heston Model from High-Frequency Observations.
Qiuming Zhu, Haoran Kou, Linyi Qian, Chunqi Shi, Xianyi Wu, Ziwei Zhou
2026Physics-Informed Multi-Task Learning for Battery State of Health Prediction with Uncertainty Quantification.
Tianwen Zhu, Guangyu Wu, Zhiwei Cao, Ruihang Wang, Jimin Jia, Yong Luo, Yonggang Wen
2026PhysicsCorrect: A Training-Free Approach for Stable Neural PDE Simulations.
Xinquan Huang, Paris Perdikaris
2026Picking a Representative Set of Solutions in Multiobjective Optimization: Axioms, Algorithms, and Experiments.
Niclas Boehmer, Maximilian T. Wittmann
2026Piercing the Fog: Disentangling Key Features for Vision Models in Multi-Degradation Scenarios.
Siyu Chen, Shiqiang Ma, Fei Guo
2026PipeDiT: Accelerating Diffusion Transformers in Video Generation with Task Pipelining and Model Decoupling.
Sijie Wang, Qiang Wang, Shaohuai Shi
2026Pixel-level Quality Assessment for Oriented Object Detection.
Yunhui Zhu, Buliao Huang
2026Placing Any Object at Any 3D Position.
Junhao Zhang, Ming Kong, Zhanbin Hu, Hao Qin, Zhijie Xu, Xiaojun Zhu, Qiang Zhu
2026Planning in Branch-and-Bound: Model-Based Reinforcement Learning for Exact Combinatorial Optimization.
Paul Strang, Zacharie Alès, Côme Bissuel, Olivier Juan, Safia Kedad-Sidhoum, Emmanuel Rachelson
2026Planning with Uncertain Action Models.
Francesco Percassi, Alessandro Saetti, Enrico Scala
2026PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data.
Ayushi Sharma, Johanna Trost, Daniel Lusk, Johannes Dollinger, Julian Schrader, Christian Rossi, Javier Lopatin, Etienne Laliberté, Simon Haberstroh, Jana Eichel, Daniel Mederer, Jose Miguel Cerda-Paredes, Shyam S. Phartyal, Lisa-Maricia Schwarz, Anja Linstädter, Maria Conceição Caldeira, Teja Kattenborn
2026Plot'n Polish: Zero-Shot Story Visualization and Disentangled Editing with Text-to-Image Diffusion Models.
Kiymet Akdemir, Jing Shi, Kushal Kafle, Brian L. Price, Pinar Yanardag
2026Plug-and-Play Clarifier: A Zero-Shot Multimodal Framework for Egocentric Intent Disambiguation.
Sicheng Yang, Yukai Huang, Weitong Cai, Shitong Sun, You He, Jiankang Deng, Hang Zhang, Jifei Song, Zhensong Zhang
2026Plug-and-Play Optimization for 3D Gaussian Splatting Compression: Distribution Regularization, Probabilistic Pruning and Detail Compensation.
Tian Bai, Zheng Qiu, Haojie Chen, Ziyang Dai
2026Plug-and-Play Parameter-Efficient Tuning of Embeddings for Federated Recommendation.
Haochen Yuan, Yang Zhang, Xiang He, Quan Z. Sheng, Zhongjie Wang
2026PlugTrack: Multi-Perceptive Motion Analysis for Adaptive Fusion in Multi-Object Tracking.
Seungjae Kim, Seungjoon Lee, MyeongAh Cho
2026PocketLLM: Ultimate Compression of Large Language Models via Meta Networks.
Ye Tian, Chengcheng Wang, Jing Han, Yehui Tang, Kai Han
2026PoeTone: A Framework for Constrained Generation of Structured Chinese Songci with LLMs.
Zhan Qu, Shuzhou Yuan, Michael Färber
2026Point Cloud Quality Assessment via Multi-View Structure-Aware Feature Fusion.
Jian Xiong, Lingxia Jiang, Xianzhong Long, Miaohui Wang, Hao Gao
2026Point Cloud Quantization Through Multimodal Prompting for 3D Understanding.
Hongxuan Li, Wencheng Zhu, Huiying Xu, Xinzhong Zhu, Pengfei Zhu
2026Point Cloud Segmentation of Integrated Circuits Package Substrates Surface Defects Using Causal Inference: Dataset Construction and Methodology.
Bingyang Guo, Qiang Zuo, Ruiyun Yu
2026Point Cloud Semantic Scene Completion with Prototype-Guided Transformer.
Chenghao Fang, Jianqing Liang, Jiye Liang, Zijin Du, Feilong Cao
2026Point-SRA: Self-Representation Alignment for 3D Representation Learning.
Lintong Wei, Jian Lu, Haozhe Cheng, Jihua Zhu, Kaibing Zhang
2026PointChain: Learning Generalizable Point Cloud Representations via Structural Chain Modeling.
Luyao Wang, Chuxin Wang, Qiao Li, Tianzhu Zhang
2026PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification.
Hao Yang, Qianyu Zhou, Haijia Sun, Xiangtai Li, Xuequan Lu, Lizhuang Ma, Shuicheng Yan
2026PointMC: Multi-view Consistent Encoding and Center-Global Feature Fusion for Point Clouds Understanding.
Xinxing Yu, Ajian Liu, Sunyuan Qiang, Yuzhong Wang, Hui Ma, Yanyan Liang
2026PointSLAM++: Robust Dense Neural Gaussian Point Cloud-based SLAM.
Xu Wang, Boyao Han, Xiaojun Chen, Ying Liu, Ruihui Li
2026Points Meet Pixels: Bridging 2D Vision-Language Model and 3D Perception Gaps for Point Cloud Quality Assessment.
Mingxuan Li, Zihao Huang, Xiaohui Chu, Fazhan Zhang, Bohan Fu, Runze Hu
2026Poisoned Distillation: Injecting Backdoors into Distilled Datasets Without Raw Data Access.
Ziyuan Yang, Ming Yan, Yi Zhang, Joey Tianyi Zhou
2026Poisoning with a Pill: Circumventing Detection in Federated Learning.
Hanxi Guo, Hao Wang, Tao Song, Tianhang Zheng, Yang Hua, Haibing Guan, Xiangyu Zhang
2026Polarity-Aware Probing for Quantifying Latent Alignment in Language Models.
Sabrina Sadiekh, Elena Ericheva, Chirag Agarwal
2026Polarization Uncertainty-Guided Diffusion Model for Color Polarization Image Demosaicking.
Chenggong Li, Yidong Luo, Junchao Zhang, Degui Yang
2026Policy Newton Methods for Distortion Riskmetrics.
Soumen Pachal, Mizhaan Prajit Maniyar, Prashanth L. A.
2026Policy Search, Retrieval, and Composition via Task Similarity in Collaborative Agentic Systems.
Saptarshi Nath, Christos Peridis, Eseoghene Benjamin, Xinran Liu, Soheil Kolouri, Peter Kinnell, Zexin Li, Cong Liu, Shirin Dora, Andrea Soltoggio
2026Policy Zooming: Adaptive Discretization-based Infinite-Horizon Average-Reward Reinforcement Learning.
Avik Kar, Rahul Singh
2026Polysemic Semantic Instance Network for Cross-Modal Hashing.
Shuo Han, Qibing Qin, Kezhen Xie, Wenfeng Zhang, Lei Huang
2026PortfolioPilot: An Agentic Platform for Financial Portfolio Management Algorithm Development and Evaluation.
Jared Chan Xu Yang, Haokai Ma, Yunshan Ma
2026PortraitSR: Artist-Inspired Prior Learning for Progressive Face Super-Resolution.
Miaoqing Wang, Jiaxu Leng, Shuang Li, Changjiang Kuang, Long Sun
2026PosPrune: Visual Token Pruning with Positional Bias Correction for Efficient Large Vision-Language Models.
Ziyang Wang, Mengwei Li, Hao Yin, Wenhao Liu, Zilei Wang
2026Position Fair Mechanisms Allocating Indivisible Goods.
Ryoga Mahara, Ryuhei Mizutani, Taihei Oki, Tomohiko Yokoyama
2026Positional Bias in Multimodal Embedding Models: Do They Favor the Beginning, the Middle, or the End?
Kebin Wu, Fatima Albreiki
2026Positional Cognitive Specialization: Where Do LLMs Learn to Comprehend and Speak Your Language?
Luis Frentzen Salim, Lun-Wei Ku, Hsing-Kuo Kenneth Pao
2026Positive Definite Sparse Covariance Estimation via Dual Space Optimization.
Fengpei Li, Wenfu Xia, Ziping Zhao
2026Post Training Quantization for Efficient Dataset Condensation.
Linh-Tam Tran, Sung-Ho Bae
2026Post-Hoc Refinement for Multitask Symbolic Regression via Consensus-Accelerated Shapley Analysis.
Xinyue Li, Wang Hu, Yu Zhang
2026PosterVerse: A Full-Workflow Framework for Commercial-Grade Poster Generation with HTML-Based Scalable Typography.
Junle Liu, Peirong Zhang, Yuyi Zhang, Pengyu Yan, Hui Zhou, Xinyue Zhou, Fengjun Guo, Lianwen Jin
2026Posterior Label Smoothing for Node Classification.
Jaeseung Heo, MoonJeong Park, Dongwoo Kim
2026Potent but Stealthy: Rethink Profile Pollution Against Sequential Recommendation via Bi-Level Constrained Reinforcement Paradigm.
Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen
2026Potential Outcome Rankings for Counterfactual Decision Making.
Yuta Kawakami, Jin Tian
2026PrAda-GAN: A Private Adaptive Generative Adversarial Network with Bayes Network Structure.
Ke Jia, Yuheng Ma, Yang Li, Feifei Wang
2026Practical Global and Local Bounds in Gaussian Process Regression via Chaining.
Junyi Liu, Stanley Kok
2026Practical, Utilitarian Algorithm Configuration.
Devon R. Graham, Eros Rojas Velez, Kevin Leyton-Brown
2026Pre-DPO: Improving Data Utilization in Direct Preference Optimization Using a Guiding Reference Model.
Junshu Pan, Wei Shen, Shulin Huang, Qiji Zhou, Yue Zhang
2026Pre-Trained Video Generative Models as World Simulators.
Haoran He, Yang Zhang, Liang Lin, Zhongwen Xu, Ling Pan
2026Predict and Resist: Long-Term Accident Anticipation Under Sensor Noise.
Xingcheng Liu, Bin Rao, Yanchen Guan, Chengyue Wang, Haicheng Liao, Jiaxun Zhang, Chengyu Lin, Meixin Zhu, Zhenning Li
2026Predicting Emergent Tool Use in LLMs Before It Emerges: A Proxy Perspective.
Bo-Wen Zhang, Yan Yan, Guang Liu, Xu-Cheng Yin
2026Predicting Session Termination and Retention on X from Fine-Grained Interaction Logs (Student Abstract).
Cai Yang, Kokil Jaidka, Subhayan Mukerjee, Yphtach Lelkes
2026Predicting Video Slot Attention Queries from Random Slot-Feature Pairs.
Rongzhen Zhao, Jian Li, Juho Kannala, Joni Pajarinen
2026Predicting the Future by Retrieving the Past.
Dazhao Du, Tao Han, Song Guo
2026Prediction of Hospital Associated Infections During Continuous Hospital Stays.
Rituparna Datta, Methun Kamruzzaman, Eili Y. Klein, Gregory Madden, Xinwei Deng, Anil Vullikanti, Parantapa Bhattacharya
2026Predictive Display for Teleoperation Based on Vector Fields Using Lidar-Camera Fusion (Abstract Reprint).
Gaurav Sharma, Jeff Calder, Rajesh Rajamani
2026Preference Elicitation for Step-Wise Explanations in Logic Puzzles.
Marco Foschini, Marianne Defresne, Emilio Gamba, Bart Bogaerts, Tias Guns
2026Preference Is More than Comparisons: Rethinking Dueling Bandits with Augmented Human Feedback.
Shengbo Wang, Hong Sun, Ke Li
2026Preference Optimization via Contrastive Divergence: Your Policy Is Secretly an NLL Estimator.
Zhuotong Chen, Fang Liu, Xuan Zhu, Haozhu Wang, Jiayu Li, Yanjun Qi, Mohammad Ghavamzadeh
2026Preference Robustness for DPO with Applications to Public Health.
Cheol Woo Kim, Shresth Verma, Mauricio Tec, Milind Tambe
2026PrefixGPT: Prefix Adder Optimization by a Generative Pre-trained Transformer.
Ruogu Ding, Xin Ning, Ulf Schlichtmann, Weikang Qian
2026Preserving Topological and Geometric Embeddings for Point Cloud Recovery.
Kaiyue Zhou, Zelong Tan, Hongxiao Wang, Ya-li Li, Shengjin Wang
2026PressTrack-HMR: Pressure-Based Top-Down Multi-Person Global Human Mesh Recovery.
Jiayue Yuan, Fangting Xie, Guangwen Ouyang, Changhai Ma, Ziyu Wu, Heyu Ding, Quan Wan, Yi Ke, Yuchen Wu, Xiaohui Cai
2026PriAgent: A Collaborative Multi-Agent Framework for Auditing Android Privacy Compliance.
Ziwei Zhang, Zhao Li, Zhuojun Jiang, Jiangyi Yin, Xuebin Wang, Jiangchao Chen, Qingyun Liu
2026Pricing Online LLM Services with Data-Calibrated Stackelberg Routing Game.
Zhendong Guo, Wenchao Bai, Jiahui Jin
2026Primary Visual Cortex Inspired Point Cloud Analysis Framework.
Jisheng Dang, Delin Deng, Bimei Wang, Jingze Wu, Hui Zhang, Haijiang Li, Jingmei Jiao, Dengyue Pan, Mangang Xie, Jizhao Liu
2026Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms.
Ezgi Korkmaz
2026Principles2Plan: LLM-Guided System for Operationalising Ethical Principles into Plans.
Tammy Zhong, Yang Song, Maurice Pagnucco
2026Prior Refinement Is Better: Diffusion-Driven Graph Harmonization for Federated Graph Learning.
Shuman Zhuang, Zhihao Wu, Wei Huang, Luojun Lin, Jiali Yin, Lele Fu, Hong-Ning Dai
2026PriorDrive: Enhancing Online HD Mapping with Unified Vector Priors.
Shuang Zeng, Xinyuan Chang, Xinran Liu, Yujian Yuan, Shiyi Liang, Zheng Pan, Mu Xu, Xing Wei
2026PriorRG: Prior-Guided Contrastive Pre-training and Coarse-to-Fine Decoding for Chest X-ray Report Generation.
Kang Liu, Zhuoqi Ma, Zikang Fang, Yunan Li, Kun Xie, Qiguang Miao
2026Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization.
Jintao Li, Zhenxin Chen, Sicheng He, Aojin Li, Shui Yu
2026PrivSV: Differentially Private Steering Vector for Large Language Models.
Haocheng Yang, Xiang Cheng, Chenhao Sun, Pengfei Zhang, Sen Su
2026Privacy Auditing of Multi-Domain Graph Pre-Trained Model Under Membership Inference Attacks.
Jiayi Luo, Qingyun Sun, Yuecen Wei, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026Privacy Leaks by Adversaries: Adversarial Iterations for Membership Inference Attack.
Jing Xue, Zhishen Sun, Haishan Ye, Luo Luo, Xiangyu Chang, Guang Dai
2026Privacy Preserving In-Context-Learning Framework for Large Language Models.
Bishnu Bhusal, Manoj Acharya, Ramneet Kaur, Colin Samplawski, Anirban Roy, Adam D. Cobb, Rohit Chadha, Susmit Jha
2026Privacy on the Fly: A Predictive Adversarial Transformation Network for Mobile Sensor Data.
Tianle Song, Chenhao Lin, Yang Cao, Zhengyu Zhao, Jiahao Sun, Chong Zhang, Le Yang, Chao Shen
2026Privacy-Preserving Argumentative Explanations (Student Abstract).
Ungsik Kim, Minjae Lee, Jiho Bae, Minje Kim, Sang-Min Choi, Suwon Lee
2026Privacy-protected Retrieval-Augmented Generation for Knowledge Graph Question Answering.
Yunfeng Ning, Mayi Xu, Jintao Wen, Qiankun Pi, Yuanyuan Zhu, Ming Zhong, Jiawei Jiang, Tieyun Qian
2026Private Frequency Estimation via Residue Number Systems.
Héber Hwang Arcolezi
2026ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics.
Kaiwen Cheng, Yutian Liu, Zhiwei Nie, Mujie Lin, Yanzhen Hou, Yiheng Tao, Chang Liu, Jie Chen, Youdong Mao, Yonghong Tian
2026ProBench: Benchmarking GUI Agents with Accurate Process Information.
Leyang Yang, Ziwei Wang, Xiaoxuan Tang, Sheng Zhou, Dajun Chen, Wei Jiang, Yong Li
2026ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting.
Jiaqi Xue, Hongji Dong, Yucen Gao, Xiaofeng Gao, Guihai Chen
2026ProCache: Constraint-Aware Feature Caching with Selective Computation for Diffusion Transformer Acceleration.
Fanpu Cao, Yaofo Chen, Zeng You, Wei Luo
2026ProCrop: Learning Aesthetic Image Cropping from Professional Compositions.
Ke Zhang, Tianyu Ding, Jiachen Jiang, Tianyi Chen, Ilya Zharkov, Vishal M. Patel, Luming Liang
2026ProEthica: A Professional Role Based Ethical Analysis Tool Using LLM-Orchestrated, Ontology Supported Case Based Reasoning.
Christopher B. Rauch, Rosina O. Weber
2026ProFuser: Progressive Fusion of Large Language Models.
Tianyuan Shi, Fanqi Wan, Canbin Huang, Xiaojun Quan, Chenliang Li, Ming Yan, Ji Zhang, Minhua Huang, Wu Kai
2026ProGMLP: A Progressive Framework for GNN-to-MLP Knowledge Distillation with Efficient Trade-offs.
Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Yujie Sun, Zheng Liang, Yibing Zhan, Dapeng Tao
2026ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization.
Jungwuk Park, Dong-Jun Han, Jaekyun Moon
2026ProPL: Universal Semi-Supervised Ultrasound Image Segmentation via Prompt-Guided Pseudo-Labeling.
Yaxiong Chen, Qicong Wang, Chunlei Li, Jingliang Hu, Yilei Shi, Shengwu Xiong, Xiao Xiang Zhu, Lichao Mou
2026ProRec-Video: Guiding Hierarchical Interest Transitions for Proactive Short Video Recommendation with Dynamic Feedback Adaptation.
Weizhi Chen, Baoyun Peng, Bo Liu, Xingkong Ma, Houjie Qiu
2026ProRefine: Inference-Time Prompt Refinement with Textual Feedback (Student Abstract).
Deepak Pandita, Tharindu Cyril Weerasooriya, Ankit Shah, Isabelle Diana May-Xin Ng, Christopher M. Homan, Wei Wei
2026Proactive Constrained Policy Optimization with Preemptive Penalty.
Ning Yang, Pengyu Wang, Guoqing Liu, Haifeng Zhang, Pin Lyu, Jun Wang
2026ProbLog4Fairness: A Neurosymbolic Approach to Modeling and Mitigating Bias.
Rik Adriaensen, Lucas Van Praet, Jessa Bekker, Robin Manhaeve, Pieter Delobelle, Maarten Buyl
2026Probabilistic Deformation Consistency for Unsupervised Shape Matching.
Yifan Xia, Tianwei Ye, Jun Huang, Xiaoguang Mei, Jiayi Ma
2026Probabilistic Hash Embeddings for Online Learning of Categorical Features.
Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2026Probabilistic Hierarchical Goal Network Planning with UCT.
David H. Chan, Mark Roberts, Dana S. Nau
2026Probabilistic Safety Verification of Neural Policies via Predicate Abstraction.
Marcel Vinzent, Holger Hermanns, Jörg Hoffmann
2026Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models.
Manh Nguyen, Sunil Gupta, Hung Le
2026Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding.
Ganxi Xu, Jinyi Long, Jia Zhang
2026Probing EFX via PMMS: (Non-)Existence Results in Discrete Fair Division.
Jaroslaw Byrka, Franciszek Malinka, Tomasz Ponitka
2026Probing Preference Representations: A Multi-Dimensional Evaluation and Analysis Method for Reward Models.
Chenglong Wang, Yifu Huo, Yang Gan, Yongyu Mu, Qiaozhi He, Murun Yang, Bei Li, Chunliang Zhang, Tongran Liu, Anxiang Ma, Zhengtao Yu, Jingbo Zhu, Tong Xiao
2026Probing Semantic Insensitivity for Inference-Time Backdoor Defense in Multimodal Large Language Model.
Xuankun Rong, Wenke Huang, Wenzheng Jiang, Yiming Li, Wenxuan Wang, Mang Ye
2026ProgRAG: Hallucination-Resistant Progressive Retrieval and Reasoning over Knowledge Graphs.
Minbae Park, Hyemin Yang, Jeonghyun Kim, Kunsoo Park, Hyunjoon Kim
2026Progressive Multi-modal Knowledge Distillation for Multi-spectral Object Re-identification.
Aihua Zheng, Pengyu Li, Zi Wang, Jin Tang
2026Prometheus: Unsupervised Discovery of Phase Transitions and Order Parameters in the 2D Ising Model Using Variational Autoencoders (Student Abstract).
Brandon Yee, Wilson Collins, Caden Wang, Mihir Tekal
2026Promises Made, Promises Kept: Safe Pareto Improvements via Ex Post Verifiable Commitments.
Nathaniel Sauerberg, Caspar Oesterheld
2026Promoting Efficient Reasoning with Verifiable Stepwise Reward.
Chuhuai Yue, Chengqi Dong, Yinan Gao, Hang He, Jiajun Chai, Wei Lin, Guojun Yin
2026Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis.
Lars Krupp, Daniel Geißler, Vishal Banwari, Paul Lukowicz, Jakob Karolus
2026PromptEmo: Learning Emotion with Bilateral Textual Prompts in Multi-Domain Open-set Scenarios.
Xinyi Zeng, Yuxiang Yang, Pinxian Zeng, Wenxia Yin, Bo Liu, Xi Wu, Yan Wang
2026PromptMoE: Generalizable Zero-Shot Anomaly Detection via Visually-Guided Prompt Mixtures.
Yuheng Shao, Lizhang Wang, Changhao Li, Peixian Chen, Qinyuan Liu
2026Prompting Adversarial Transferability via Path Flatness Attack.
Zeze Tao, Jinjia Peng, Huibing Wang
2026Promptus: Can Prompt Streaming Replace Video Streaming.
Jiangkai Wu, Liming Liu, Yunpeng Tan, Junlin Hao, Liang Zhang, Xinggong Zhang
2026Proof Systems That Tightly Characterise Model Counting Algorithms.
Olaf Beyersdorff, Tim Hoffmann, Kaspar Kasche
2026Proof Systems for Tensor-based Model Counting.
Olaf Beyersdorff, Joachim Giesen, Andreas Goral, Tim Hoffmann, Kaspar Kasche, Christoph Staudt
2026ProtSAE: Disentangling and Interpreting Protein Language Models via Semantically-Guided Sparse Autoencoders.
Xiangyu Liu, Haodi Lei, Yi Liu, Yang Liu, Wei Hu
2026Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning.
Zhengyuan Pan, Yanhao Chen, Zhongquan Jian, Wanru Zhao, Haonan Ma, Meihong Wang, Qingqiang Wu
2026Prototype-Based Semantic Consistency Alignment for Domain Adaptive Retrieval.
Tianle Hu, Weijun Lv, Na Han, Xiaozhao Fang, Jie Wen, Jiaxing Li, Guoxu Zhou
2026Prototype-Driven Active Domain Adaptation with Density Consideration.
Zeyu Zhang, Chun Shen, Qiang Ma, Meng Kang, Shuai Lü
2026Prototype-Guided Supervision for Graph Learning with Noisy and Sparse Labels.
Qiyu Li, Xianxian Li, De Li, Jinyan Wang
2026Provably Data-Driven Projection Method for Quadratic Programming.
Anh Tuan Nguyen, Viet Anh Nguyen
2026Provably Efficient Multi-Objective Bandit Algorithms Under Preference-Centric Customization.
Linfeng Cao, Ming Shi, Ness B. Shroff
2026Proxy Zero-Shot Hashing with Multimodal Fusion via Stable Diffusion.
Hui Zhang, Weikang Gao, Tao Yang, Yuan Cao
2026ProxyTTT: Proxy-driven Test-Time Training for Multi-modal Re-identification.
Aihua Zheng, Zhaojun Liu, Xixi Wan, Chenglong Li, Jin Tang, Yan Yan
2026Prune&Comp: Free Lunch for Layer-Pruned LLMs via Iterative Pruning with Magnitude Compensation.
Xinrui Chen, Hongxing Zhang, Fanyi Zeng, Yongxian Wei, Yizhi Wang, Xitong Ling, Guanghao Li, Chun Yuan
2026Prune4Web: DOM Tree Pruning Programming for Web Agent.
Jiayuan Zhang, Kaiquan Chen, Zhihao Lu, Enshen Zhou, Qian Yu, Jing Zhang
2026Pseudo Multi-view K-means Clustering.
Jinqian Chen, Jihua Zhu, Haoyu Tang, Qinghai Zheng
2026Pseudo-Spiking Neurons: A Noise-Based Training Framework for Heterogeneous-Latency Spiking Neural Networks.
Yuxuan Zhang, Yuhang Sun, Hongjue Li, Yue Deng, Wen Yao
2026PsyPARSE: Retrieval-Augmented Slow Thinking for Personalized Empathetic Counseling.
Longxiang Wang, Pukun Zhao, Chen Chen, Jinhe Bi, Huacan Wang, Tong Zhang, Ronghao Chen
2026Public Goods Games in Directed Networks with Constraints on Sharing.
Argyrios Deligkas, Gregory Z. Gutin, Mark Jones, Philip R. Neary, Anders Yeo
2026PulseMind: A Multi-Modal Medical Model for Real-World Clinical Diagnosis.
Jiao Xu, Junwei Liu, Jiangwei Lao, Qi Zhu, Yunpeng Zhao, Congyun Jin, Shinan Liu, Zhihong Lu, Lihe Zhang, Xin Chen, Jian Wang, Ping Wang
2026PurMM: Attention-Guided Test-Time Backdoor Purification in Multimodal Large Language Models.
Wenzheng Jiang, Ke Liang, Xuankun Rong, Jingxuan Zhou, Zhengyi Zhong, Guancheng Wan, Ji Wang
2026Pushing Rendering Boundaries: Hard Gaussian Splatting.
Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang
2026Put the Space of LoRA Initialization to the Extreme to Preserve Pre-trained Knowledge.
Pengwei Tang, Xiaolin Hu, Yong Liu, Lizhong Ding, Dongjie Zhang, Xing Wu, Debing Zhang
2026Putting Fair Division on the Map.
Paula Böhm, Robert Bredereck, Paul Gölz, Andrzej Kaczmarczyk, Stanislaw Szufa
2026Q Cache: Visual Attention Is Valuable in Less than Half of Decode Layers for Multimodal Large Language Model.
Jiedong Zhuang, Lu Lu, Ming Dai, Rui Hu, Jian Chen, Qiang Liu, Haoji Hu
2026Q-MoFusion: A Quantum Classifier for Masquito Species Classification (Student Abstract).
Vishesh Kumar, Ahana Chanda, Poulomi Bhattacharya, Akshay Agarwal
2026Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs (Student Abstract).
Ye Qiao, Sitao Huang
2026QAPNet: A Quantum-Attentive Patchwise Network for Robust Medical Image Classification Under Noisy Inputs.
Maqsudur Rahman, Jun Zhuang
2026QRShield: Exploiting Vulnerabilities of Latent Diffusion Models for Preventing AI Art Plagiarism.
Xunyue Mo, Weibin Wu, Qingrui Tu, Hang Wang, Junxi He, Zibin Zheng
2026QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression.
Lei Huang, Rui Zhang, Jiaming Guo, Yang Zhang, Di Huang, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yunji Chen, Qi Guo
2026QiMeng-Kernel: Macro-Thinking Micro-Coding Paradigm for LLM-Based High-Performance GPU Kernel Generation.
Xinguo Zhu, Shaohui Peng, Jiaming Guo, Yunji Chen, Qi Guo, Yuanbo Wen, Hang Qin, Ruizhi Chen, Qirui Zhou, Ke Gao, Yanjun Wu, Chen Zhao, Ling Li
2026QuEPT: Quantized Elastic Precision Transformers with One-Shot Calibration for Multi-Bit Switching.
Ke Xu, Yixin Wang, Zhongcheng Li, Hao Cui, Jinshui Hu, Xingyi Zhang
2026QuMAB: Query-based Multi-annotator Behavior Pattern Learning.
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Shozo Nishii, Yuta Nakashima
2026Qualitative Analysis of ω-Regular Objectives on Robust MDPs.
Ali Asadi, Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi, Ali Shafiee
2026Quality-Aware Language-Conditioned Local Auto-Regressive Anomaly Synthesis and Detection.
Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang
2026Quality-aware and Soft Consistency Driven Representation Fusion for Incomplete Multi-view Multi-label Classification.
Yadong Liu, Waikeung Wong, Yulong Chen, Jie Wen
2026QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion.
Sahil Mishra, Avi Patni, Niladri Chatterjee, Tanmoy Chakraborty
2026QuantVSR: Low-Bit Post-Training Quantization for Real-World Video Super-Resolution.
Bowen Chai, Zheng Chen, Libo Zhu, Wenbo Li, Yong Guo, Yulun Zhang
2026Quantifying and Improving Adaptivity in Conformal Prediction Through Input Transformations.
Sooyong Jang, Insup Lee
2026Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation.
Difu Feng, Qianqian Xu, Zitai Wang, Cong Hua, Zhiyong Yang, Qingming Huang
2026Quantum Algorithms for Spectral Sums.
Alessandro Luongo, Changpeng Shao
2026Quantum Lipschitz Bandits.
Bongsoo Yi, Yue Kang, Yao Li
2026Quantum Non-Linear Bandit Optimization.
Zakaria Shams Siam, Chaowen Guan, Chong Liu
2026Quantum Transformer for Molecular Learning: Multi-Configuration Ground-State Energy Prediction.
Yuichi Kamata, Quoc Hoan Tran, Yasuhiro Endo, Hirotaka Oshima
2026Query-Efficient Domain Knowledge Stealing Against Large Language Models.
Zhengao Li, Xiaopeng Yuan, Bolin Shen, Kien Le, Haohan Wang, Xugui Zhou, Shangqian Gao, Yushun Dong
2026Query-Routed Activation Editing with Truth-hierarchical Preference Optimization.
Kewei Liao, Tianbo Wang, Yuqing Ma, Zhange Zhang, Zhicheng Geng, Xiaowei Zhao, Jiakai Wang, Xianglong Liu
2026QueryAligner: Customizing User Query to Match LLMs Preferences for Better Intent Recognition.
Yunlong Ma, Bo Wang, Yihong Tang, Zifei Yu, Chenyun Xue, Gaoke Zhang, Yuexian Hou
2026QueryCraft: Transformer-Guided Query Initialization for Enhanced Human-Object Interaction Detection.
Yuxiao Wang, Wolin Liang, Yu Lei, Weiying Xue, Nan Zhuang, Qi Liu
2026QueryGym: Step-by-Step Interaction with Relational Databases.
Haritha Ananthakrishnan, Harsha Kokel, Kelsey Sikes, Debarun Bhattacharjya, Michael Katz, Shirin Sohrabi, Kavitha Srinivas
2026Quiet Feature Learning in Algorithmic Tasks.
Prudhviraj Naidu, Zixian Wang, Leon Bergen, Ramamohan Paturi
2026QuoTA: Query-oriented Token Assignment via CoT Query Decouple for Long Video Comprehension.
Yongdong Luo, Wang Chen, Weizhong Huang, Shukang Yin, Haojia Lin, Jinfa Huang, Chaoyou Fu, Jiayi Ji, Xiawu Zheng, Jiebo Luo
2026R-AVST: Empowering Video-LLMs with Fine-Grained Spatio-Temporal Reasoning in Complex Audio-Visual Scenarios.
Lu Zhu, Tiantian Geng, Yangye Chen, Teng Wang, Ping Luo, Feng Zheng
2026R-Tuning: Wavelet-Decomposed Replay and Semantic Alignment for Continual Adaptation of Pretrained Time-Series Models.
Tianyi Yin, Jingwei Wang, Chenze Wang, Han Wang, Jiexuan Cai, Min Liu, Yunlong Ma, Kun Gao, Yuting Song, Weiming Shen
2026RAA: Achieving Interactive Remove/Add Anything via Fully Synthetic Data.
Delong Liu, Haotian Hou, Zhaohui Hou, Shihao Han, Zhiyuan Huang, Mingjie Zhan, Fei Su, Zhicheng Zhao
2026RABot: Reinforcement-Guided Graph Augmentation for Imbalanced and Noisy Social Bot Detection.
Longlong Zhang, Xi Wang, Haotong Du, Yangyi Xu, Zhuo Liu, Yang Liu
2026RAC-DMVC: Reliability-Aware Contrastive Deep Multi-View Clustering Under Multi-Source Noise.
Shihao Dong, Yue Liu, Xiaotong Zhou, Yuhui Zheng, Huiying Xu, Xinzhong Zhu
2026RAG-Enhanced Collaborative LLM Agents for Drug Discovery.
Namkyeong Lee, Edward De Brouwer, Ehsan Hajiramezanali, Tommaso Biancalani, Chanyoung Park, Gabriele Scalia
2026RAG-R1: Incentivizing the Search and Reasoning Capabilities of LLMs Through Multi-Query Parallelism.
Zhiwen Tan, Jiaming Huang, Qintong Wu, Hongxuan Zhang, Chenyi Zhuang, Jinjie Gu
2026RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation.
Run Ling, Wenji Wang, Yuting Liu, Guibing Guo, Haowei Liu, Jian Lu, Quanwei Zhang, Yexing Xu, Shuo Lu, Yun Wang, Yihua Shao, Linying Jiang, Xingwei Wang
2026RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation.
Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang
2026RAIN: Redundancy-Aware Latent Injection for Quality-Preserving Image Watermarking.
Yehan Sun, Rongrong Ni, Chuangchuang Tan, Huan Liu, Wenhao Ni, Renshuai Tao, Yao Zhao
2026RAPID: A Rapid Prototyping Platform for Industrial Automation.
Sunghoon Hong, Junseok Park, Whiyoung Jung, Deunsol Yoon, Woohyung Lim, Soonyoung Lee, Kanghoon Lee
2026RAPTOR: Real-Time High-Resolution UAV Video Prediction with Efficient Video Attention.
Zhan Chen, Zile Guo, Enze Zhu, Peirong Zhang, Xiaoxuan Liu, Lei Wang, Yidan Zhang
2026RAW-Flow: Advancing RGB-to-RAW Image Reconstruction with Deterministic Latent Flow Matching.
Zhen Liu, Diedong Feng, Hai Jiang, Liaoyuan Zeng, Hao Wang, Chaoyu Feng, Lei Lei, Bing Zeng, Shuaicheng Liu
2026RCAFlow: A Workflow-Informed Hierarchical Planning Multi-Agent System for Root Cause Analysis.
Yufei Gao, Zhengong Cai, Bowei Yang
2026RCMoE: A Communication-Efficient Random Compression Framework for Resource-Constrained Mixture-of-Experts Training.
Donglei Wu, Xiao Cai, Jinglei Tan, Jinda Jia, Guangming Tan, Dingwen Tao, Wen Xia, Zhihong Tian
2026RCP-LO: A Relative Coordinate Prediction Framework for Generalizable Deep LiDAR Odometry.
Chen Liu, Wen Li, Yongshu Huang, Minghang Zhu, Yuyang Yang, Dunqiang Liu, Sheng Ao, Cheng Wang
2026RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior.
Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng
2026REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks.
Linna Wang, Zhixuan You, Qihui Zhang, Jiunan Wen, Ji Shi, Yimin Chen, Yusen Wang, Fanqi Ding, Ziliang Feng, Li Lu
2026REACTION: Parameter-Efficient Learning for Recommendation.
Song-Li Wu, Zhaocheng Du, Qinglin Jia, Zhenhua Dong
2026READ: Real-time and Efficient Asynchronous Diffusion for Audio-driven Talking Head Generation.
Haotian Wang, Yuzhe Weng, Jun Du, Haoran Xu, Xiaoyan Wu, Shan He, Bing Yin, Cong Liu, Jianqing Gao, Qingfeng Liu
2026REAP: Enhancing RAG with Recursive Evaluation and Adaptive Planning for Multi-Hop Question Answering.
Yijie Zhu, Haojie Zhou, Wanting Hong, Tailin Liu, Ning Wang
2026RECoRD: A Multi-Agent LLM Framework for Reverse Engineering Codebase to Relational Diagram.
Yuan Xue, Xiaoyu Lu, Yunfei Bai, Yunan Liu, Hoiyi Ng
2026REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models.
Yi Wang, Xiaqiang Tang, Keyu Hu, Haojie Lu, Sihong Xie
2026REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation.
Nameer Hirschkind, Joseph Liu, Xiao Yu, Mahesh Kumar Nandwana
2026REMEDIS: A Clinical AI Framework for Retinal Disease Diagnosis with Explainable Fundus Image Analysis.
Youngkyu Lee, Jinho Lee, Youngdae Jo, Jeongwoo Park
2026REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature.
Wenhan Wu, Zhili He, Huanghuang Liang, Yili Gong, Jiawei Jiang, Chuang Hu, Dazhao Cheng
2026RENEW: Risk- and Energy-Aware Navigation in Dynamic Waterways.
Mingi Jeong, Alberto Quattrini Li
2026RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents (Student Abstract).
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Aleksandr Volkov, Ilya Makarov, Andrei Osiptsov, Yury Maximov
2026RESPOND: Realistic Environment Simulation of Population and Natural Disasters with LLM-Driven Agents.
Roman Sultimov, Mikhail Mozikov, Dmitrii Abramov, Mariia Kovalchuk, Maksim Malykh, Ilya Makarov, Andrei Osiptsov, Aleksandr Volkov, Yury Maximov
2026RESTL: Reinforcement Learning Guided by Multi-Aspect Rewards for Signal Temporal Logic Transformation.
Yue Fang, Zhi Jin, Jie An, Hongshen Chen, Xiao-hong Chen, Naijun Zhan
2026RFF-TTA: Physical Information-Aware Prototype for Temporally Varying RF Fingerprinting Online Test-Time-Adaptation.
Taotao Li, Yiyang Li, Zhenyu Wen, Jiahao Lin, Jinhao Wan, Jie Su, Cong Wang, Zhen Hong
2026RFI: Rectified Flow Intervention for Mitigating Object Hallucination in Large Vision-Language Models.
Junyu Cheng, Zhibiao Liang, Yidong Chen, Shuangyin Li
2026RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA.
Chao Zhang, Minghan Li, Tianrui Lv, Guodong Zhou
2026RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models.
Yu Cheng, Jiuan Zhou, Jiawei Chen, Zhaoxia Yin, Xinpeng Zhang
2026RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation.
XueTao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang, Mengde Li, Mang Ye, Jifeng Xuan, Miao Li
2026RI-Loss: A Learnable Residual-Informed Loss for Time Series Forecasting.
Jieting Wang, Xiaolei Shang, Feijiang Li, Furong Peng
2026RICo: Refined In-Context Contribution for Automatic Instruction-Tuning Data Selection.
Yixin Yang, Qingxiu Dong, Linli Yao, Fangwei Zhu, Weilin Luo, Bin Wang, Zhifang Sui
2026RIS-LAD: A Benchmark and Model for Referring Image Segmentation in Low-Altitude Drone Imagery.
Kai Ye, YingShi Luan, Zhudi Chen, Guangyue Meng, Pingyang Dai, Liujuan Cao
2026RL-Studio: A System for Multi-Phase Reinforcement Learning Experimentation.
Whiyoung Jung, Sunghoon Hong, Deunsol Yoon, Jeonghye Kim, Yongjae Shin, Suhyun Jung, Hyundam Yoo, Youngjin Kim, Chanwoo Moon, Woohyung Lim, Soonyoung Lee, Kanghoon Lee
2026RL-U2Net: A Dual-Branch UNet with Reinforcement Learning-Assisted Multimodal Feature Fusion for Accurate 3D Whole-Heart Segmentation.
Jierui Qu, Jianchun Zhao
2026RLKD: Distilling LLMs' Reasoning via Reinforcement Learning.
Shicheng Xu, Liang Pang, Yunchang Zhu, Jia Gu, Zihao Wei, Jingcheng Deng, Feiyang Pan, Huawei Shen, Xueqi Cheng
2026RLMR: Reinforcement Learning with Mixed Rewards for Creative Writing.
Jianxing Liao, Tian Zhang, Xiao Feng, Yusong Zhang, Haorui Wang, Bosi Wen, Ziying Wang, Runzhi Shi
2026RLSLM: A Hybrid Framework Combining Reinforcement Learning and a Rule-based Social Locomotion Model for Socially-aware Navigation.
Yitian Kou, Yihe Gu, Chen Zhou, Dandan Zhu, Shu-Guang Kuai
2026RMAdapter: Reconstruction-based Multi-Modal Adapter for Vision-Language Models.
Xiang Lin, Weixin Li, Shu Guo, Lihong Wang, Di Huang
2026RMFAT: Recurrent Multi-scale Feature Atmospheric Turbulence Mitigator.
Zhiming Liu, Nantheera Anantrasirichai
2026RMLer: Synthesizing Novel Objects Across Diverse Categories via Reinforcement Mixing Learning.
Jun Li, Zikun Chen, Haibo Chen, Shuo Chen, Jian Yang
2026RMO: Towards Better LLM Alignment via Reshaping Reward Margin Distributions.
Yanchi Ru, Yue Huang, Xiangliang Zhang
2026RMSAGen: Integrating Multiple Sequence Alignment for Function RNA Design.
Jiyue Jiang, Yanyu Chen, Qingchuan Zhang, Jiayi Li, Xiangyu Shi, Chang Zhou, Ziqian Lin, Jiuming Wang, Dongchen He, Liang Hong, Qintong Li, Pengan Chen, Jiayang Chen, Xinrui Zhang, Jiao Yuan, Tianqing Zhang, Yu Li
2026ROVER: Robust Generative Continual Identity Unlearning Against Relearning Attacks.
Tairan Huang, Qiang Chen, Beibei Hu, Yunlong Zhao, Hongyan Xu, Zhiyuan Chen, Yi Chen, Xiu Su
2026RPE-PAD: Relative Pose Estimation for Pose-agnostic Anomaly Detection.
Zhipeng Zhang, Mengzan Qi, Rongkang Ma, Yingying Fang, Guixu Zhang, Tieyong Zeng, Zhi Li
2026RPGen: Robust and Differentially Private Synthetic Image Generation.
Zihao Wang, Hao Peng, Wei Dong, Yuecen Wei, Li Sun, Zhengtao Yu
2026RPM-MCTS: Knowledge-Retrieval as Process Reward Model with Monte Carlo Tree Search for Code Generation.
Yuanyuan Lin, Xiangyu Ouyang, Teng Zhang, Kaixin Sui
2026RPTS: Tree-Structured Reasoning Process Scoring for Faithful Multimodal Evaluation.
Haofeng Wang, Yu Zhang
2026RS2-SAM2: Customized SAM2 for Referring Remote Sensing Image Segmentation.
Fu Rong, Meng Lan, Qian Zhang, Lefei Zhang
2026RSA-CR: Resisting Shilling Attacks in Citation Recommendation via Dumbbell Inductive Learning.
Xiyue Gao, Yukai Liu, Zhuoqi Ma, Xiaotian Qiao, Hui Li, Cai Xu, Kunhua Zhang, Jiangtao Cui
2026RSOD: Reliability-Guided Sonar Image Object Detection with Extremely Limited Labels.
Chengzhou Li, Ping Guo, Guanchen Meng, Qi Jia, Jinyuan Liu, Zhu Liu, Xiaokang Liu, Yu Liu, Zhongxuan Luo, Xin Fan
2026RSPlace: Rotation Sensing Macro Placement via Bidirectional Tree Expansion.
Tianyi Liu, Yaxin Xu, Lin Geng, Ningzhong Liu, Han Sun, Yu Wang
2026RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images.
Ke Li, Di Wang, Ting Wang, Fuyu Dong, Yiming Zhang, Luyao Zhang, Xiangyu Wang, Shaofeng Li, Quan Wang
2026RTGaze: Real-Time 3D-Aware Gaze Redirection from a Single Image.
Hengfei Wang, Zhongqun Zhang, Yihua Cheng, Hyung Jin Chang
2026RTMol: Rethinking Molecule-text Alignment in a Round-trip View.
Letian Chen, Runhan Shi, Gufeng Yu, Yang Yang
2026RUL-QMoE: Multiple Non-crossing Quantile Mixture-of-Experts for Probabilistic Remaining Useful Life Predictions of Varying Battery Materials.
Sel Ly, Rufan Yang, Ninad Dixit, Hung Dinh Nguyen
2026RaCoT: Plug-and-Play Contrastive Example Generation Mechanism for Enhanced LLM Reasoning Reliability.
Kaitong Cai, Jusheng Zhang, Yijia Fan, Jing Yang, Keze Wang
2026RaLD: Generating High-Resolution 3D Radar Point Clouds with Latent Diffusion.
Ruijie Zhang, Bixin Zeng, Shengpeng Wang, Fuhui Zhou, Wei Wang
2026RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds.
Jingyun Fu, Zhiyu Xiang, Na Zhao
2026RacketVision: A Multiple Racket Sports Benchmark for Unified Ball and Racket Analysis.
Linfeng Dong, Yuchen Yang, Hao Wu, Wei Wang, Yuenan Hou, Zhihang Zhong, Xiao Sun
2026Radar Instance Transformer: Reliable Moving Instance Segmentation in Sparse Radar Point Clouds (Abstract Reprint).
Matthias Zeller, Vardeep S. Sandhu, Benedikt Mersch, Jens Behley, Michael Heidingsfeld, Cyrill Stachniss
2026Radar-APLANC: Unsupervised Radar-based Heartbeat Sensing via Augmented Pseudo-Label and Noise Contrast.
Ying Wang, Zhaodong Sun, Xu Cheng, Zuxian He, Xiaobai Li
2026RadarLLM: Empowering Large Language Models to Understand Human Motion from Millimeter-wave Point Cloud Sequence.
Zengyuan Lai, Jiarui Yang, Songpengcheng Xia, Lizhou Lin, Lan Sun, Renwen Wang, Jianran Liu, Qi Wu, Ling Pei
2026RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving.
Ruiqi Cheng, Huijun Di, Jian Li, Feng Liu, Wei Liang
2026Rademacher Complexity for Distributionally Robust Learning.
Zhengyu Zhou, Weiwei Liu
2026Random Amalgamation of Adapters for Flatter Loss Landscapes: Towards Class-Incremental Learning with Better Stability.
Yao Deng, Xiang Xiang, Jiaqi Gui
2026Random is Faster than Systematic in Multi-Objective Local Search.
Zimin Liang, Miqing Li
2026RankList - a Listwise Preference Learning Framework for Predicting Subjective Preferences.
Abinay Reddy Naini, Fernando Diaz, Carlos Busso
2026RareAgents: Autonomous Multi-disciplinary Team for Rare Disease Diagnosis and Treatment.
Xuanzhong Chen, Ye Jin, Xiaohao Mao, Lun Wang, Shuyang Zhang, Ting Chen
2026RatioMorph: Controllable Diffusion Framework for Automotive Viewpoint and Proportion Manipulation in Vehicle Design.
Haeji Go, Jae-Hun Lee, Shinyeong Noh, Kayoung Kim, Kyuseong Lim, Jee Eun Song, Mingyu Lee, Joowan Sung, Soonbeom Kwon, Myoungbok Shin, Junsang Park
2026RatioSketch: Towards More Accurate Frequency Estimation in Data Streams via a Lightweight Neural Network.
Mengbo Wang, Zhuochen Fan, Dayu Wang, Guorui Xie, Qing Li, Zeyu Luan, Yong Jiang, Tong Yang, Mingwei Xu
2026Rational Revision of Group Intentions.
Nima Motamed, Natasha Alechina, Mehdi Dastani, Dragan Doder
2026RayD3D: Distilling Depth Knowledge Along the Ray for Robust Multi-View 3D Object Detection.
Rui Ding, Zhaonian Kuang, Zongwei Zhou, Meng Yang, Xinhu Zheng, Gang Hua
2026RcAE: Recursive Reconstruction Framework for Unsupervised Industrial Anomaly Detection.
Rongcheng Wu, Hao Zhu, Shiying Zhang, Mingzhe Wang, Zhidong Li, Hui Li, Jianlong Zhou, Jiangtao Cui, Fang Chen, Pingyang Sun, Qiyu Liao, Ye Lin
2026Re-SpS: A Reinforcement Learning Approach to Speculative Sampling.
Chenan Wang, Daniel H. Shi, Haipeng Chen
2026Re-architecting Personalized Federated Learning for Demanding Edge Environments.
Quyang Pan, Sheng Sun, Tingting Wi, Zhiyuan Wu, Yuwei Wang, Min Liu, Bo Gao, Jingyuan Wang
2026ReACT: Reward-informed Autoregressive Decision CAD Transformer.
Yijie Ding, Yang Liu, Haobo Jiang, Jianmin Zheng
2026ReAlign: Text-to-Motion Generation via Step-Aware Reward-Guided Alignment.
Wanjiang Weng, Xiaofeng Tan, Junbo Wang, Guo-Sen Xie, Pan Zhou, Hongsong Wang
2026ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping.
Alberto Pirillo, Luca Colombo
2026ReCAD: Reinforcement Learning Enhanced Parametric CAD Model Generation with Vision-Language Models.
Jiahao Li, Yusheng Luo, Yunzhong Lou, Xiangdong Zhou
2026ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting.
Xiang Ma, Taihua Chen, Pengcheng Wang, Xuemei Li, Caiming Zhang
2026ReCode: Updating Code API Knowledge with Reinforcement Learning.
Haoze Wu, Yunzhi Yao, Wenhao Yu, Ningyu Zhang
2026ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation.
Yunyi Liu, Yingshu Li, Zhanyu Wang, Xinyu Liang, Lingqiao Liu, Lei Wang, Luping Zhou
2026ReLUPruner: Rethinking ReLU Importance with Taylor Expansion for Efficient Private Inference.
Zhenpeng Li, Jinshuo Liu, Xinyan Wang, Lina Wang, Jeff Z. Pan
2026ReTrack: Evidence-Driven Dual-Stream Directional Anchor Calibration Network for Composed Video Retrieval.
Zixu Li, Yupeng Hu, Zhiwei Chen, Qinlei Huang, Guozhi Qiu, Zhiheng Fu, Meng Liu
2026ReaSon: Reinforced Causal Search with Information Bottleneck for Video Understanding.
Yuan Zhou, Litao Hua, Shilong Jin, Wentao Huang, Haoran Duan
2026Real Garment Benchmark (RGBench): A Comprehensive Benchmark for Robotic Garment Manipulation Featuring a High-Fidelity Scalable Simulator.
Wenkang Hu, Xincheng Tang, Yanzhi E, Yitong Li, Zhengjie Shu, Wei Li, Huamin Wang, Ruigang Yang
2026Real Noise Decoupling for Hyperspectral Image Denoising.
Yingkai Zhang, Tao Zhang, Jing Nie, Ying Fu
2026Real-Time Path Planning for UAVs in Windy Environments Without Computational Fluid Dynamics.
Abhudaya Shrivastava, Shelly Gupta, Zoran Obradovic
2026Real-time 3D Object Detection with Inference-Aligned Learning.
Chenyu Zhao, Xianwei Zheng, Zimin Xia, Linwei Yue, Nan Xue
2026RealNet: Efficient and Unsupervised Detection of AI-Generated Images via Real-Only Representation Learning.
Shuaibo Li, Laixin Zhang, Wei Ma, Jianwei Guo, Shibiao Xu, Zhijie Qiu, Hongbin Zha
2026RealRep: Generalized SDR-to-HDR Conversion via Attribute-Disentangled Representation Learning.
Li Xu, Siqi Wang, Kepeng Xu, Lin Zhang, Gang He, Weiran Wang, Yu-Wing Tai
2026RealUHR: Harnessing Patch-Cascade Flows for Photorealistic Ultra-High-Resolution Synthesis.
Yongsheng Yu, Haitian Zheng, Zhe Lin, Connelly Barnes, Yuqian Zhou, Zhifei Zhang, Jiebo Luo
2026RealWebAssist: A Benchmark for Long-Horizon Web Assistance with Real-World Users.
Suyu Ye, Haojun Shi, Darren Shih, Hyokun Yun, Tanya G. Roosta, Tianmin Shu
2026Realism Control One-step Diffusion for Real-world Image Super Resolution.
Zongliang Wu, Siming Zheng, Peng-Tao Jiang, Xin Yuan
2026Realist and Pluralist Conceptions of Intelligence and Their Implications on AI Research.
Ninell Oldenburg, Ruchira Dhar, Anders Søgaard
2026Realistic Curriculum Reinforcement Learning for Autonomous and Sustainable Marine Vessel Navigation.
Xiaocai Zhang, Zhe Xiao, Maohan Liang, Tao Liu, Haijiang Li, Wenbin Zhang
2026Realistic Face Reconstruction from Facial Embeddings via Diffusion Models.
Dong Han, Yong Li, Joachim Denzler
2026Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM's Theory of Mind in Egocentric Videos.
Guiyang Hou, Yihui Fu, Chen Wu, Xiang Huang, Zhe Zheng, Wenqi Zhang, Yongliang Shen, Weiming Lu
2026Reason2Attack: Jailbreaking Text-to-Image Models via LLM Reasoning.
Chenyu Zhang, Lanjun Wang, Yiwen Ma, Wenhui Li, Guoqing Jin, Anan Liu
2026ReasonAct: Progressive Training for Fine-Grained Video Reasoning in Small Models.
Jiaxin Liu, Zhaolu Kang
2026Reasoning About the Unsaid: Misinformation Detection with Omission-Aware Graph Inference.
Zhengjia Wang, Danding Wang, Qiang Sheng, Jiaying Wu, Juan Cao
2026Reasoning Shapes Alignment: Investigating Cultural Alignment in Large Reasoning Models with Cultural Norms.
Yuhang Wang, Yanxu Zhu, Jitao Sang
2026Reasoning Transfer for an Extremely Low-Resource and Endangered Language: Bridging Languages Through Sample-Efficient Language Understanding.
Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen
2026Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination.
Mingqi Wu, Zhihao Zhang, Qiaole Dong, Zhiheng Xi, Jun Zhao, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Huijie Lv, Ming Zhang, Yanwei Fu, Qin Liu, Songyang Zhang, Qi Zhang
2026Reasoning via Implicit Self-supervised Emergence for Instruction Segmentation.
Qing Zhou, Lichang Yang, Yuyu Jia, Junyu Gao, Weiping Ni, Junzheng Wu, Qi Wang
2026Reasoning with Exploration: An Entropy Perspective.
Daixuan Cheng, Shaohan Huang, Xuekai Zhu, Bo Dai, Xin Zhao, Zhenliang Zhang, Furu Wei
2026RecCocktail: A Generalizable and Efficient Framework for LLM-Based Recommendation.
Min Hou, Chenxi Bai, Le Wu, Hao Liu, Kai Zhang, Weiwen Liu, Richang Hong, Ruiming Tang, Meng Wang
2026RecToM: A Benchmark for Evaluating Machine Theory of Mind in LLM-based Conversational Recommender Systems.
Mengfan Li, Xuanhua Shi, Yang Deng
2026ReconVLA: Reconstructive Vision-Language-Action Model as Effective Robot Perceiver.
Wenxuan Song, Ziyang Zhou, Han Zhao, Jiayi Chen, Pengxiang Ding, Haodong Yan, Yuxin Huang, Feilong Tang, Donglin Wang, Haoang Li
2026Reconcile Gradient Modulation for Harmony Multimodal Learning.
Xiyuan Gao, Bing Cao, Baoquan Gong, Pengfei Zhu
2026Reconfiguring Proportional Committees.
Chris Dong, Fabian Frank, Jannik Peters, Warut Suksompong
2026Reconstruction Attack-Resistant Inference Paradigm for LLM Cloud Services.
Zipeng Ye, Wenjian Luo, Qi Zhou, Yubo Tang
2026Reconstruction Using the Invisible: Intuition from NIR and Metadata for Enhanced 3D Gaussian Splatting.
Gyusam Chang, Tuan-Anh Vu, Vivek Alumootil, Harris Song, Deanna Pham, Sangpil Kim, M. Khalid Jawed
2026Recovering Coherent Affective Patterns: Addressing Modality Missing in Multimodal Sentiment Analysis.
Huiting Huang, Tieliang Gong, Kai He, Wen Wen, Weizhan Zhang, Mengling Feng
2026Rectification Reimagined: A Unified Mamba Model for Image Correction and Rectangling with Prompts.
Linwei Qiu, Gongzhe Li, Xiaozhe Zhang, Qi Sun, Fengying Xie
2026Rectified Noise: A Generative Model Using Positive-incentive Noise.
Zhenyu Gu, Yanchen Xu, Sida Huang, Yubin Guo, Hongyuan Zhang
2026Rectify Evaluation Preference: Improving LLMs' Critique on Math Reasoning via Perplexity-aware Reinforcement Learning.
Changyuan Tian, Zhicong Lu, Shuang Qian, Nayu Liu, Peiguang Li, Li Jin, Leiyi Hu, Zhizhao Zeng, Sirui Wang, Ke Zeng, Guozhi Cas
2026Recursive Causal Discovery (Abstract Reprint).
Ehsan Mokhtarian, Sepehr Elahi, Sina Akbari, Negar Kiyavash
2026Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System.
Ananya Joshi, Nolan Gormley, Richa Gadgil, Catalina Vajiac, Tina Townes, Roni Rosenfeld, Bryan Wilder
2026Reducing Goal State Divergence with Environment Design.
Kelsey Sikes, Sarah Keren, Sarath Sreedharan
2026Reducing the Scope of Language Models.
David Yunis, Siyu Huo, Chulaka Gunasekara, Danish Contractor
2026Redundancy-optimized Multi-head Attention Networks for Multi-view Multi-label Feature Selection.
Yuzhou Liu, Jiarui Liu, Wanfu Gao
2026Redundant Queries in DETR-Based 3D Detection Methods: Unnecessary and Prunable.
Lizhen Xu, Zehao Wu, Wenzhao Qiu, Shanmin Pang, Xiuxiu Bai, Kuizhi Mei, Jianru Xue
2026RefAdGen: High-Fidelity Advertising Image Generation.
Yiyun Chen, Weikai Yang
2026RefLens: End-to-End Evidence-Grounded Citation Verification with LLM Agents.
Seunghoo Lee, JuneHyoung Kwon, Jooweon Choi, Jungmin Yun, Seunguk Yu, Yoonji Lee, Jinhee Jang, YoungBin Kim
2026RefRea: Reference-Guided Reasoning with Meta-Cognition for Accurate Language Model Agents.
Yuxiang Mai, Qiyue Yin, Wancheng Ni, Jianwei Guo, Xiaogang Ouyang, Pei Xu, Kaiqi Huang
2026RefSTAR: Blind Face Image Restoration with Reference Selection, Transfer, and Reconstruction.
Zhicun Yin, Junjie Chen, Ming Liu, Zhixin Wang, Fan Li, Renjing Pei, Xiaoming Li, Rynson W. H. Lau, Wangmeng Zuo
2026Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems.
Xiaoxiao Chi, Xuyun Zhang, Yan Wang, Hongsheng Hu, Wanchun Dou
2026RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation.
Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2026Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA.
Ayush Pandey, Jai Bardhan, Ishita Jain, Ramya S. Hebbalaguppe, Rohan Raju Dhanakshirur, Lovekesh Vig
2026Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment.
Ziheng Jia, Jiaying Qian, Zicheng Zhang, Zijian Chen, Xiongkuo Min
2026Refine3D: Scene-Adaptive Reference Point Refinement for Sparse 3D Object Detection.
Fan Li, Jing Lu, Yunlu Xu, Changhong Wu, Tao Xu, Zhaoyi Xiang, Yi Niu
2026RefineVAD: Semantic-Guided Feature Recalibration for Weakly Supervised Video Anomaly Detection.
Junhee Lee, ChaeBeen Bang, MyoungChul Kim, MyeongAh Cho
2026Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification.
Liang Peng, Haopeng Liu, Yixuan Ye, Cheng Liu, Wenjun Shen, Si Wu, Hau-San Wong
2026RefleXNet: Targeted Self-Reflection for Accurate Chest X-ray Reporting.
Xin Mei, Rui Mao, Xiaoyan Cai, Libin Yang, Erik Cambria
2026Reflect Then Learn: Active Prompting for Information Extraction Guided by Introspective Confusion.
Dong Zhao, Yadong Wang, Xiang Chen, Chenxi Wang, Hongliang Dai, Chuanxing Geng, Shengzhong Zhang, Shaoyuan Li, Sheng-Jun Huang
2026ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving.
Xuemei Yao, Xiao Yang, Jianbin Sun, Liuwei Xie, Xuebin Shao, Xiyu Fang, Hang Su, Kewei Yang
2026Region-Point Joint Representation for Effective Trajectory Similarity Learning.
Hao Long, Silin Zhou, Lisi Chen, Shuo Shang
2026RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection.
Shufan Yang, Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Yuchen Fu, Qing Gu
2026RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding.
Yinglu Li, Zhiying Lu, Zhihang Liu, Yiwei Sun, Chuanbin Liu, Hongtao Xie
2026Regression over Classification: Assessing Image Aesthetics via Multimodal Large Language Models.
Xingyuan Ma, Shuai He, Anlong Ming, Haobin Zhong, Huadong Ma
2026Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control.
Shaorong Chen, Jingbo Zhou, Jun Xia
2026Regular Games - an Automata-Based General Game Playing Language.
Radoslaw Miernik, Marek Szykula, Jakub Kowalski, Jakub Ciesluk, Lukasz Galas, Wojciech Pawlik
2026Reimagining Anomalies: What If Anomalies Were Normal?
Philipp Liznerski, Saurabh Varshneya, Ece Calikus, Puyu Wang, Alexander Bartscher, Sebastian Josef Vollmer, Sophie Fellenz, Marius Kloft
2026Reinforce Trustworthiness in Multimodal Emotional Support System.
Huy M. Le, Dat Tien Nguyen, Ngan T. T. Vo, Tuan D. Q. Nguyen, Nguyen Binh Le, Duy Minh Ho Nguyen, Daniel Sonntag, Lizi Liao, Binh T. Nguyen
2026Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate-Distortion Awareness.
Wuyang Cong, Junqi Shi, Lizhong Wang, Weijing Shi, Ming Lu, Hao Chen, Zhan Ma
2026Reinforcement Learning Enhanced Muti-hop Reasoning for Temporal Knowledge Question Answering.
Wuzhenghong Wen, Chao Xue, Su Pan, Yuwei Sun, Minlong Peng
2026Reinforcement Learning Without Explicit Rewards: Theory and Practice.
Weitong Zhang
2026Reinforcement Learning with Fuzzy Human Attention-Guided Graph for Heterogeneous Multiagent Systems.
Dingbang Liu, Fenghui Ren, Jun Yan, Guoxin Su, Shohei Kato, Wen Gu
2026Rejoining Precious Artifacts: Efficiently Bone Stick Rejoining Based Massive Fragment Images by Contour, Script, and Texture.
Xingyi Wang, Wen Huang, Mengqiang Hu, Junhui Chen, Weixin Zhao, Wenzheng Xu, Jian Peng
2026RelaCtrl: Relevance-Guided Efficient Control for Diffusion Transformers.
Ke Cao, Jing Wang, Ao Ma, Jiasong Feng, Xuanhua He, Run Ling, Haowei Liu, Jian Lu, Wei Feng, Haozhe Wang, Hongjuan Pei, Yihua Shao, Zhanjie Zhang, Jie Zhang
2026Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension.
Lin Li, Wei Chen, Jiahui Li, Kwang-Ting Cheng, Long Chen
2026Relational Verification for Cost-Aware Quantum Program Optimization.
Ziming Zhao, Tingting Li, Zhaoxuan Li, Jianwei Yin
2026Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation.
Emily Liu, Kuan Han, Minfeng Zhan, Bocheng Zhao, Guanyu Mu, Yang Song
2026Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning.
Shenghong He, Chao Yu, Qian Lin, Yile Liang, Donghui Li, Xuetao Ding
2026Reliable-View 2D-3D Key-Part Aligned Transformer with Reinforced Masking for 3D Point Cloud Understanding.
Xianglong Jin, Zheng Wang, Rong Wang, Feiping Nie
2026Relink: Constructing Query-Driven Evidence Graph On-the-Fly for GraphRAG.
Manzong Huang, Chenyang Bu, Yi He, Xingrui Zhuo, Xindong Wu
2026Remember Me: Bridging the Long-Range Gap in LVLMs with Three-Step Inference-Only Decay Resilience Strategies.
Peng Gao, Yujian Lee, Xiaofeng Zhang, Zailong Chen, Hui Zhang
2026Remodeling Semantic Relationships in Vision-Language Fine-Tuning.
Xiangyang Wu, Liu Liu, Baosheng Yu, Jiayan Qiu, Zhenwei Shi
2026RemoteReasoner: Towards Unifying Geospatial Reasoning Workflow.
Liang Yao, Fan Liu, Hongbo Lu, Chuanyi Zhang, Rui Min, Shengxiang Xu, Shimin Di, Pai Peng
2026Removing Box-Free Watermarks for Image-to-Image Models via Query-Based Reverse Engineering.
Haonan An, Guang Hua, Hangcheng Cao, Zhengru Fang, Guowen Xu, Susanto Rahardja, Yuguang Fang
2026Renormalization Group Guided Tensor Network Structure Search.
Maolin Wang, Bowen Yu, Sheng Zhang, Linjie Mi, Wanyu Wang, Yiqi Wang, Pengyue Jia, Xuetao Wei, Zenglin Xu, Ruocheng Guo, Xiangyu Zhao
2026Rep Deep & Machine Learning: Exemplar-Free Continual Video Action Recognition via Slow-Fast Collaborative Learning.
Xueyi Zhang, Chengwei Zhang, Zheng Li, Xiyu Wang, Siqi Cai, Mingrui Lao, Yanming Guo, Huiping Zhuang
2026Repetition Makes Perfect: Recurrent Graph Neural Networks Match Message Passing Limit.
Eran Rosenbluth, Martin Grohe
2026Requirements for Aligned, Dynamic Resolution of Conflicts in Operational Constraints.
Steven J. Jones, Robert E. Wray, John E. Laird
2026Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input.
Chenxu Li, Zhicai Wang, Yuan Sheng, Xingyu Zhu, Yanbin Hao, Xiang Wang
2026ResMAS: Resilience Optimization in LLM-based Multi-agent Systems.
Zhilun Zhou, Zihan Liu, Jiahe Liu, Qingyu Shao, Yihan Wang, Kun Shao, Depeng Jin, Fengli Xu
2026ResNet-GA: Evolutionary Deep Learning Models for Adversarial Defense (Student Abstract).
Li-Chiao Wang, Chung-Shou Liao, Wei Liu
2026ResProto-FD: Visual-Language Residual Prototype Sets for Generalized Face Forgery Detection.
Jiuyao Jing, Yu Zheng, Chunlei Peng
2026Rescind: Countering Image Misconduct in Biomedical Publications with Vision-Language and State-Space Modeling.
Soumyaroop Nandi, Prem Natarajan
2026RescueLens: LLM-Powered Triage and Action on Volunteer Feedback for Food Rescue.
Naveen Janaki Raman, Jingwu Tang, Zhiyu Chen, Zheyuan Ryan Shi, Sean Hudson, Ameesh Kapoor, Fei Fang
2026Resilience Inference for Supply Chains with Hypergraph Neural Network.
Zetian Shen, Hongjun Wang, Jiyuan Chen, Xuan Song
2026Resilience in Ambient Multi-Agent LLMs via Decentralized Bio-Autonomic Control and Immune-Inspired Anomaly Detection.
Nastaran Darabi, Devashri Naik, Sina Tayebati, Dinithi Jayasuriya, Amit Ranjan Trivedi
2026Resilient UAV Swarm with Fast Connectivity Recovery and Extensive Coverage.
Yabin Peng, Chenyu Zhou, Hainan Cui, Tong Duan, Haoyang Chen, Fan Zhang, Shaoxun Liu
2026Resolving Predictive Multiplicity for the Rashomon Set.
Parian Haghighat, Hadis Anahideh, Cynthia Rudin
2026Resource Efficient Sleep Staging via Multi-Level Masking and Prompt Learning.
Lejun Ai, Yulong Li, Haodong Yi, Jixuan Xie, Yue Wang, Jia Liu, Min Chen, Rui Wang
2026Response Attack: Exploiting Contextual Priming to Jailbreak Large Language Models.
Ziqi Miao, Lijun Li, Yuan Xiong, Zhenhua Liu, Pengyu Zhu, Jing Shao
2026Responsible Mechanism Design.
Pavel Naumov
2026Retaliatory Attacks Against Federated Unlearning via Data Leakage.
Xinyi Sheng, Wei Bao, Hequn Wang, Yuqin Liu, Sen Fu
2026Rethink Representation Learning for Questionnaire Data.
Guanhua Ye, Jifeng He, Yan Li, Junping Du, Zhe Xue, Yingxia Shao, MeiYu Liang, Yawen Li
2026Rethinking AI: From Functions to Functors.
Sridhar Mahadevan
2026Rethinking Bias in Generative Data Augmentation for Medical AI: A Frequency Recalibration Method.
Chi Liu, Jincheng Liu, Congcong Zhu, Minghao Wang, Sheng Shen, Jia Gu, Tianqing Zhu, Wanlei Zhou
2026Rethinking Crystal Symmetry Prediction: A Decoupled Perspective.
Liheng Yu, Zhe Zhao, Xucong Wang, Di Wu, Pengkun Wang
2026Rethinking Deep Alignment Through the Lens of Incomplete Safety Learning.
Thong Bach, Dung Nguyen, Thao Minh Le, Truyen Tran
2026Rethinking Direct Preference Optimization in Diffusion Models.
Junyong Kang, Seohyun Lim, Kyungjune Baek, Hyunjung Shim
2026Rethinking Explanation Evaluation Under the Retraining Scheme.
Yi Cai, Thibaud Ardoin, Mayank Gulati, Gerhard Wunder
2026Rethinking Flow and Diffusion Bridge Models for Speech Enhancement.
Dahan Wang, Jun Gao, Tong Lei, Yuxiang Hu, Changbao Zhu, Kai Chen, Jing Lu
2026Rethinking Irregular Time Series Forecasting: A Simple Yet Effective Baseline.
Xvyuan Liu, Xiangfei Qiu, Xingjian Wu, Zhengyu Li, Chenjuan Guo, Jilin Hu, Bin Yang
2026Rethinking Label Consistency of In-Context Learning: An Implicit Transductive Label Propagation Perspective.
Haoyang Chen, Richong Zhang, Junfan Chen
2026Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling.
Xiao Cui, Yulei Qin, Xinyue Li, Wengang Zhou, Hongsheng Li, Houqiang Li
2026Rethinking Membership Inference Attacks for CLIP.
Lluís Gómez
2026Rethinking Multi-Instance Learning Through Graph-Driven Fusion: A Dual-Path Approach to Adaptive Representation.
Yu-Xuan Zhang, Zhengchun Zhou, Weisha Liu, Mingxing Zhang
2026Rethinking Multimodal Point Cloud Completion: A Completion-by-Correction Perspective.
Wang Luo, Di Wu, Hengyuan Na, Yinlin Zhu, Miao Hu, Guocong Quan
2026Rethinking Open-world Prompt Tuning: A Systematic Framework for Evaluation and Optimization.
Mengwei Li, Zilei Wang, Yixin Zhang
2026Rethinking Progression of Memory State in Robotic Manipulation: An Object-Centric Perspective.
Nhat Chung, Taisei Hanyu, Toan Nguyen, Huy Le, Frederick Bumgarner, Duy Minh Ho Nguyen, Khoa Vo, Kashu Yamazaki, Chase Rainwater, Tung Kieu, Anh Nguyen, Ngan Le
2026Rethinking Rainy 3D Scene Reconstruction via Perspective Transforming and Brightness Tuning.
Qianfeng Yang, Xiang Chen, Pengpeng Li, Qiyuan Guan, Guiyue Jin, Jiyu Jin
2026Rethinking Saliency Maps: A Cognitive Human Aligned Taxonomy and Evaluation Framework for Explanations.
Yehonatan Elisha, Seffi Cohen, Oren Barkan, Noam Koenigstein
2026Rethinking Surgical Smoke: A Smoke-Type-Aware Laparoscopic Video Desmoking Method and Dataset.
Qifan Liang, Junlin Li, Zhen Han, Xihao Wang, Zhongyuan Wang, Bin Mei
2026Rethinking Target Label Conditioning in Adversarial Attacks: A 2D Tensor-Guided Generative Approach.
Hangyu Liu, Bo Peng, Pengxiang Ding, Donglin Wang
2026Rethinking Video-Language Model from the Language Input Perspective.
Xiang Fang, Wanlong Fang, Changshuo Wang, Xiaoye Qu, Daizong Liu
2026Rethinking Visual Token Reduction in LVLMs Under Cross-Modal Misalignment.
Rui Xu, Yunke Wang, Yong Luo, Bo Du
2026Rethinking the Dark Knowledge and Kullback-Leibler Divergence Loss in Knowledge Distillation Under Capacity Mismatching.
Yingchao Wang, Wenqi Niu, Xingshan Yao, Li You, Weilun Fei
2026Rethinking the Reliability of Multi-agent System: A Perspective from Byzantine Fault Tolerance.
Lifan Zheng, Jiawei Chen, Qinghong Yin, Jingyuan Zhang, Xinyi Zeng, Yu Tian
2026Rethinking the Sampling Criteria in Reinforcement Learning for LLM Reasoning: A Competence-Difficulty Alignment Perspective.
Deyang Kong, Qi Guo, Xiangyu Xi, Wei Wang, Jingang Wang, Xunliang Cai, Shikun Zhang, Wei Ye
2026Rethinking the Spatio-Temporal Alignment of End-to-End 3D Perception.
Xiaoyu Li, Peidong Li, Xian Wu, Long Shi, Dedong Liu, Yitao Wu, Jiajia Fu, Dixiao Cui, Lijun Zhao, Lining Sun
2026RetouchAgent: Towards Interactive and Explainable Image Retouching with MLLM Agents.
Shuo Zhang, Xinyu Yang
2026Retrieval-driven Reasoning for Deliberative Visual Classification.
Jianye Xie, Lianyong Qi, Fan Wang, Anqi Wang, Wenjuan Gong, Danxin Wang, Wanchun Dou, Yang Cao, Shichao Pei, Xiaokang Zhou
2026Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation.
Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin
2026RetroLM: Retrieval-Augmented KVs for Long-Context Processing.
Kun Luo, Zheng Liu, Shitao Xiao, Jiabei Chen, Hongjin Qian, Peitian Zhang, Shanshan Jiang, Bin Dong, Jun Zhao, Kang Liu
2026RetrySQL: Text-to-SQL Training with Retry Data for Self-Correcting Query Generation.
Alicja Raczkowska, Riccardo Belluzzo, Piotr Zielinski, Joanna Baran, Pawel Olszewski
2026Revealing POMDPs: Qualitative and Quantitative Analysis for Parity Objectives.
Ali Asadi, Krishnendu Chatterjee, David Lurie, Raimundo Saona
2026Revealing the Invisible: Latent Structure Modeling for Semantically Consistent Cloud Removal.
Jingwei Xin, Kai Guo, Jie Li, Nannan Wang
2026Revisiting (Un)Fairness in Recourse by Minimizing Worst-Case Social Burden.
Ainhize Barrainkua, Giovanni De Toni, José Antonio Lozano, Novi Quadrianto
2026Revisiting Attention in the Dark for Low-Light Person Re-Identiffcation.
Xiang Guo, Ruimin Hu, Dongliang Zhu, Mei Wang
2026Revisiting Conjunctive Query Entailment for S.
Yazmín Ibáñez-García, Jean Christoph Jung, Vincent Michielini, Filip Murlak
2026Revisiting Contrastive Learning in Collaborative Filtering via Parallel Graph Filters.
Fang Kai, Yu Zhang, Kaibin Wang, Lei Sang, Yiwen Zhang
2026Revisiting Cross-Architecture Distillation: Adaptive Dual-Teacher Transfer for Lightweight Video Models.
Ying Peng, Hongsen Ye, Changxin Huang, Xiping Hu, Jian Chen, Runhao Zeng
2026Revisiting Differentiable Structure Learning: Inconsistency of L1 Penalty and Beyond.
Kaifeng Jin, Ignavier Ng, Kun Zhang, Biwei Huang
2026Revisiting Downsampling in Semantic Segmentation: Fighting Aliasing with Dynamic Gaussian and Gabor Frequency Filters.
Yubing Luo, Nian Shi, Jia Qin, Zekai Ji, Pinle Qin, Jianchao Zeng, Jianghui Cai
2026Revisiting Fairness-aware Interactive Recommendation: Item Lifecycle as a Control Knob.
Yun Lu, Xiaoyu Shi, Hong Xie, Chongjun Xia, Zhenhui Gong, Mingsheng Shang
2026Revisiting MLLM Based Image Quality Assessment: Errors and Remedy.
Zhenchen Tang, Songlin Yang, Bo Peng, Zichuan Wang, Jing Dong
2026Revisiting Network Inertia: Dynamic Inertia Inhibition Coupled Multidimensional Periodicity for Infrared and Visible Image Fusion.
Yufeng Chen, Yuan Sun, Hao Pan, Xujian Zhao, Jian Dai, Zhenwen Ren, Xingfeng Li
2026Revisiting the Canonicalization for Fast and Accurate Crystal Tensor Property Prediction.
Haowei Hua, Jingwen Yang, Wanyu Lin, Pan Zhou
2026Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View.
Jianyu Qi, Ding Zou, Wenrui Yan, Rui Ma, Jiaxu Li, Zhijie Zheng, Zhiguo Yang, Rongchang Zhao
2026Revitalizing Canonical Pre-Alignment for Irregular Multivariate Time Series Forecasting.
Ziyu Zhou, Yiming Huang, Yanyun Wang, Yuankai Wu, James Kwok, Yuxuan Liang
2026Reward Model Evaluation via Automatically-Ranked Policy Alignment.
Aoran Wang, Lei Ou, Yang Yu, Zongzhang Zhang
2026Reward Redistribution via Gaussian Process Likelihood Estimation.
Minheng Xiao, Xian Yu
2026RflyPano: A Panoramic Benchmark for Ultra-low Altitude UAV Localization Powered by RflySim.
Dun Dai, Ze Lu, Xunhua Dai, Quan Quan
2026Richer Representations for Neural Algorithmic Reasoning via Auxiliary Reconstruction.
Jiafu Huang, Chao Peng, Chenyang Xu, Zhengfeng Yang, Kecheng Cai, Chenhao Zhang, Yi Wang, Yiwei Gong, Wanqin Zhou, Irene Zheng
2026RiemanLine: Riemannian Manifold Representation of 3D Lines for Factor Graph Optimization.
Yan Li, Ze Yang, Keisuke Tateno, Federico Tombari, Liang Zhao, Gim Hee Lee
2026Riemannian Manifold Learning for Stackelberg Games with Neural Flow Representations.
Larkin Liu, Kashif Rasul, Yutong Chao, Jalal Etesami
2026Right Branches Matter in Failure-based Variable Ordering Heuristics.
Yang Zhang, Hongbo Li
2026Right Looks, Wrong Reasons: Compositional Fidelity in Text-to-Image Generation.
Mayank Vatsa, Aparna Bharati, Richa Singh
2026RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting.
Meng Wang, Qi Su, Zhixin Xia, Kanglin Chen, Jue Wang, Tiantian Liu, Rongqiang Cao, Hui Cui, Peng Shi, Yangang Wang, Liqiang Feng, Zhenbing Zhao
2026Ripple Shapley: Data Influence Attribution in One Federated Training Run.
Dewen Zeng, Wenlong Tian, Haozhao Wang, Jianfeng Lu, Weijun Xiao, Zhiyong Xu
2026Risk Atlas Nexus: A System for Managing AI Risks.
Inge Vejsbjerg, Rahul Nair, Elizabeth M. Daly, Dhaval Salwala, Seshu Tirupathi
2026Risk-Aware Bilingual Spoken Dialogue for Campus Mental Health Support.
You-Teng Lin, Li-Yang Zhang, Yi-Tang Chen, Jen-Tzung Chien
2026Risk-Sensitive Exponential Actor Critic.
Alonso Granados Baca, Jason Pacheco
2026RiverScope: High-Resolution River Masking Dataset.
Rangel Daroya, Taylor Rowley, Jonathan Acero Flores, Elisa Friedmann, Fiona Bennitt, Heejin An, Travis Simmons, Marissa Jean Hughes, Camryn L. Kluetmeier, Solomon Kica, J. Daniel Vélez, Sarah E. Esenther, Thomas E. Howard, Yanqi Ye, Audrey Turcotte, Colin J. Gleason, Subhransu Maji
2026RoS-Guard: Robust and Scalable Online Change Detection with Delay-Optimal Guarantees.
Zelin Zhu, Yancheng Huang, Kai Yang
2026RoSA: Enhancing Parameter-Efficient Fine-Tuning via RoPE-aware Selective Adaptation in Large Language Models.
Dayan Pan, Jingyuan Wang, Yilong Zhou, Jiawei Cheng, Pengyue Jia, Xiangyu Zhao
2026RoSE: A Role Correlation Structure-Enhanced Model for Multi-Event Argument Extraction.
Geting Huang, Jilong Zhang, Kai Zhou, Zhang Yi, Xiuyuan Xu
2026RoadSceneVQA: Benchmarking Visual Question Answering in Roadside Perception Systems for Intelligent Transportation System.
Runwei Guan, Rongsheng Hu, Shangshu Chen, Ningyuan Xiao, Xue Xia, Jiayang Liu, Beibei Chen, Ziren Tang, Ningwei Ouyang, Shaofeng Liang, Yuxuan Fan, Wanjie Sun, Yutao Yue
2026RobusTor3D: Robust Multimodal 3D Object Detector for Autonomous Driving by Vision-Language Knowledge Blending.
Ying Yang, Hui Yin, Aixin Chong, Hui Wang, Zhengyin Liang
2026Robust Adaptive Multi-Step Predictive Shielding (Student Abstract).
Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma
2026Robust Causal Discovery Under Imperfect Structural Constraints.
Zidong Wang, Xi Lin, Chuchao He, Xiaoguang Gao
2026Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience.
Zicheng Hu, Yuchen Wang, Cheng Chen
2026Robust Detection of Synthetic Tabular Data Under Schema Variability.
G. Charbel N. Kindji, Elisa Fromont, Lina Maria Rojas-Barahona, Tanguy Urvoy
2026Robust Domain Adaptive Hashing via Structural Noise Modeling and Correction.
Junsheng Wang, Tiantian Gong, Yeyun Wu, Xiaobing Sun
2026Robust Fusion Controller: Degradation-Aware Image Fusion with Fine-Grained Language Instructions.
Hao Zhang, Yanping Zha, Qingwei Zhuang, Zhenfeng Shao, Jiayi Ma
2026Robust High-Order Tensor Compressive Sensing Based on M-Estimators.
Xiaowei Wang, Jie Yu, Yulong Wang
2026Robust Integrative Analysis of Multi-omics Datasets via Nuclear-norm Maximization.
Meng-zhu Wang, Yu Zhang, Hongxing Zhang
2026Robust Lazy Conflict Detection via Multi-Conflict Extraction and Genetic Diversity Control.
Viet-Man Le, Lukas André Feldgrill, Alexander Felfernig
2026Robust Learning from Noisily Labeled Long-Tailed Data via Fairness Regularizer.
Jiaheng Wei, Zhaowei Zhu, Gang Niu, Tongliang Liu, Sijia Liu, Masashi Sugiyama, Yang Liu
2026Robust Long-Term Test-Time Adaptation for 3D Human Pose Estimation Through Motion Discretization.
Yilin Wen, Kechuan Dong, Yusuke Sugano
2026Robust Multiagent Combinatorial Path Finding.
Yehonatan Kidushim, Avraham Natan, Roni Stern, Meir Kalech
2026Robust Noise Modeling for Spike Camera via Time-Interval Quantification and Spike-DSLR Multimodal Dataset in Low-Light Imaging.
Yue Cao, Sizhao Li, Liguo Zhang
2026Robust Out-of-Order Retrieval for Grid-Based Storage at Maximum Capacity.
Tzvika Geft, William Zhang, Jingjin Yu, Kostas E. Bekris
2026Robust Pedestrian Detection with Uncertain Modality.
Qian Bie, Xiao Wang, Bin Yang, Zhixi Yu, Jun Chen, Xin Xu
2026Robust Pseudo-Labeling via Decoupled Class-Aware Filtering and Dynamic Category Correction.
Jianghang Lin, Yilin Lu, Chaoyang Zhu, Yunhang Shen, Shengchuan Zhang, Liujuan Cao
2026Robust SDE Parameter Estimation Under Missing Time Information Setting.
Long Van Tran, Truyen Tran, Phuoc Nguyen
2026Robust Semi-paired Multimodal Learning for Cross-modal Retrieval.
Yang Qin, Yuan Sun, Xi Peng, Dezhong Peng, Joey Tianyi Zhou, Xiaomin Song, Peng Hu
2026Robust Single-Stage Fully Sparse 3D Object Detection via Detachable Latent Diffusion.
Wentao Qu, Guofeng Mei, Jing Wang, Yujiao Wu, Xiaoshui Huang, Liang Xiao
2026Robust Watermarking on Gradient Boosting Decision Trees.
Jun Woo Chung, Yingjie Lao, Weijie Zhao
2026Robust-R1: Degradation-Aware Reasoning for Robust Visual Understanding.
Jiaqi Tang, Jianmin Chen, Wei Wei, Xiaogang Xu, Runtao Liu, Xiangyu Wu, Qipeng Xie, Jiafei Wu, Lei Zhang, Qifeng Chen
2026Role Hypergraph Contrastive Learning for Multivariate Time-Series Analysis.
Rundong Xue, Hao Hu, Zhitao Zeng, Xiangmin Han, Zhiqiang Tian, Shaoyi Du, Yue Gao
2026Role Perceptual Augmented Temporal Graph Network for Related-party Transaction Detection.
Xin Liu, Yuanhang Yu, Peng Zhu, Dawei Cheng, Changjun Jiang
2026RouterNet: Hierarchical Point Routing Network for Robust Vertebral Landmark Localization on AP X-ray Images.
Yingjie Guo, Jinxin Lv, Wei Fang, Qiang Li, Zhiwei Wang
2026Run, Ruminate, and Regulate: A Dual-process Thinking System for Vision-and-Language Navigation.
Yu Zhong, Zihao Zhang, Rui Zhang, Lingdong Huang, Haihan Gao, Shuo Wang, Da Li, Ruijian Han, Jiaming Guo, Shaohui Peng, Di Huang, Yunji Chen
2026Runtime Safety and Reach-avoid Prediction of Stochastic Systems via Observation-aware Barrier Functions.
Shenghua Feng, Jie An, Fanjiang Xu
2026R²D-LPCC: Relevance-Ranking Guided Region-Adaptive Dynamic LiDAR Point Cloud Compression.
Fangzhe Nan, Frederick W. B. Li, Gary K. L. Tam, Zhaoyi Jiang, Bailin Yang, Jingke Cui, Changshuo Wang
2026S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems.
Maoran Wang, Xingju Cai, Yongxin Chen
2026S-DAG: A Subject-Based Directed Acyclic Graph for Multi-Agent Heterogeneous Reasoning.
Jiangwen Dong, Zehui Lin, Wanyu Lin, Mingjin Zhang
2026S2-Boost: Synergistic Semantic Boosting for Coarse-to-Fine Ensemble Learning.
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026S2-UniSeg: Fast Universal Agglomerative Pooling for Scalable Segment Anything Without Supervision.
Huihui Xu, Jin Ye, Hongqiu Wang, Changkai Ji, Jiashi Lin, Ming Hu, Ziyan Huang, Ying Chen, Chenglong Ma, Tianbin Li, Lihao Liu, Junjun He, Lei Zhu
2026S2C: A Noise-Resistant Difference Learning Framework for Unsupervised Change Detection in VHR Remote Sensing Images.
Lei Ding, Xibing Zuo, Haitao Guo, Jun Lu, Zhihui Gong, Xuanguang Liu, Jicang Lu
2026S2D-Align: Shallow-to-Deep Auxiliary Learning for Anatomically-Grounded Radiology Report Generation.
Jiechao Gao, Chang Liu, Yuangang Li
2026S3Net: Spatiotemporally Separated Sparse Network for Neuromorphic Vision Processing.
Ping He, Rong Xiao, Wanying Xu, Chenwei Tang, Shudong Huang, Huajin Tang
2026S5: Scalable Semi-Supervised Semantic Segmentation in Remote Sensing.
Liang Lv, Di Wang, Jing Zhang, Lefei Zhang
2026SABER: Switchable and Balanced Training for Efficient LLM Reasoning.
Kai Zhao, Yanjun Zhao, Jiaming Song, Shien He, Lusheng Zhang, Qiang Zhang, Tianjiao Li
2026SACO: Sequence-Aware Constrained Optimization Framework for Coupon Distribution in E-commerce.
Li Kong, Bingzhe Wang, Zhou Chen, Suhan Hu, Yuchao Ma, Qi Qi, Suoyuan Song, Bicheng Jin
2026SACodec: Asymmetric Quantization with Semantic Anchoring for Low-Bitrate High-Fidelity Neural Speech Codecs.
Zhongren Dong, Bin Wang, Jing Han, Haotian Guo, Xiaojun Mo, Yimin Cao, Zixing Zhang
2026SAFE: Semantic- and Frequency-Enhanced Curriculum for Cross-Domain Deepfake Detection.
Yulin Yao, Kangfeng Zheng, Bin Wu, Chunhua Wu, Jujie Wang, Jiaqi Gao, Minjiao Yang, Dan Luo
2026SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation.
Paul Grimal, Michaël Soumm, Hervé Le Borgne, Olivier Ferret, Akihiro Sugimoto
2026SAGE: A Compositional Multi-Agent LLM Framework with Pedagogical Reasoning for Structured Collaborative Problem Solving.
Van-Khanh Tran, Van-Khai Dang, Duc-Huy Nguyen
2026SAGE: Spuriousness-Aware Guided Prompt Exploration for Mitigating Multimodal Bias.
Wenqian Ye, Di Wang, Guangtao Zheng, Bohan Liu, Aidong Zhang
2026SAGE: Structured Attribute-Guided Enhancement for GZSL.
Zao Zhang, Liguo Sun, Pin Lyu
2026SALR: Sparsity-Aware Low-Rank Representation for Efficient Fine-Tuning of Large Language Models.
Longteng Zhang, Sen Wu, Shuai Hou, Zhengyu Qing, Zhuo Zheng, Danning Ke, Qihong Lin, Qiang Wang, Shaohuai Shi, Xiaowen Chu
2026SAM-DAQ: Segment Anything Model with Depth-guided Adaptive Queries for RGB-D Video Salient Object Detection.
Jia Lin, Xiaofei Zhou, Jiyuan Liu, Runmin Cong, Guodao Zhang, Zhi Liu, Jiyong Zhang
2026SAM2-OV: A Novel Detection-Only Tuning Paradigm for Open-Vocabulary Multi-Object Tracking.
Yangkai Chen, Qiangqiang Wu, Guangyao Li, Junlong Gao, Guanglin Niu, Hanzi Wang
2026SAM2MOT: A Novel Paradigm of Multi-Object Tracking by Segmentation.
Junjie Jiang, Zelin Wang, Manqi Zhao, Yin Li, Dongsheng Jiang
2026SAMCL: Empowering SAM to Continually Learn from Dynamic Domains with Extreme Storage Efficiency.
Zeqing Wang, Kangye Ji, Di Wang, Haibin Zhang, Fei Cheng
2026SAME: Spatial-Aware Multimodal Egocentric Human Pose Estimation.
Yurong Fu, Peng Dai, Yu Zhang, Yiqiang Feng, Yang Zhang, Haoqian Wang
2026SAMGTD: Spatial-Aware Masked Graph Transformer-Diffusion Model for Enhanced Cell Type Deconvolution in Spatial Transcriptomics.
Shilin Zhang, Suixue Wang, Qingchen Zhang, Xiulong Liu
2026SAOT: An Enhanced Locality-Aware Spectral Transformer for Solving PDEs.
Chenhong Zhou, Jie Chen, Zaifeng Yang
2026SAPO: Self-Adaptive Process Optimization Makes Small Reasoners Stronger.
Kaiyuan Chen, Guangmin Zheng, Jin Wang, Xiaobing Zhou, Xuejie Zhang
2026SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model.
Jing Zhang, Zhikai Li, Chengzhi Hu, Xuewen Liu, Qingyi Gu
2026SAR-DisentDM: A Semantic-Disentangled Diffusion Model for Limited-Data SAR Image Synthesis.
Yue Yang, Song Tang, Qijun Zhao, Hailun Zhang, Xiwen Wang, Zijian Deng
2026SAR: A Structure-Aligned Reasoning Framework for Temporal Knowledge Graph Question Answering.
Qianyi Hu, Jiaxue Liu, Xinhui Tu, Shoujin Wang
2026SARA: Leveraging LLM Agents and Jurisprudential Ontologies for Automated Legal Reasoning.
Francisco C. J. Bonfim, Sara Pessoa Silva, Alicia S. Neves, Henrique Santos, João A. Monteiro Neto, Jorge L. B. Araujo, Rilder S. Pires, Ricardo Alexandre Da Silva Costa, Vasco Furtado, Vládia Pinheiro
2026SASST: Leveraging Syntax-Aware Chunking and LLMs for Simultaneous Speech Translation.
Zeyu Yang, Lai Wei, Roman Koshkin, Xi Chen, Satoshi Nakamura
2026SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.
Zhaoxu Li, Chenqi Kong, Yi Yu, Qiangqiang Wu, Xinghao Jiang, Ngai-Man Cheung, Bihan Wen, Alex C. Kot, Xudong Jiang
2026SA²GFM: Enhancing Robust Graph Foundation Models with Structure-Aware Semantic Augmentation.
Junhua Shi, Qingyun Sun, Haonan Yuan, Xingcheng Fu
2026SC-Net: Robust Correspondence Learning via Spatial and Cross-Channel Context.
Shuyuan Lin, Hailiang Liao, Qiang Qi, Junjie Huang, Taotao Lai, Jian Weng
2026SCALAR: Scale-wise Controllable Visual Autoregressive Learning.
Ryan Xu, Dongyang Jin, Yancheng Bai, Rui Lan, Xu Duan, Lei Sun, Xiangxiang Chu
2026SCALE: Selective Resource Allocation for Overcoming Performance Bottlenecks in Mathematical Test-time Scaling.
Yang Xiao, Chunpu Xu, Ruifeng Yuan, Jessie Wang, Wenjie Li, Pengfei Liu
2026SCAN: Self-Calibrated AutoregressioN for High-Quality Visual Generation.
Zhanzhou Feng, Qingpei Guo, Jingdong Chen, Feng Gao, Ming Yang, Shiliang Zhang
2026SCIR: A Self-Correcting Iterative Refinement Framework for Enhanced Information Extraction Based on Schema.
Yushen Fang, Jianjun Li, Mingqian Ding, Chang Liu, Xinchi Zou, Wenqi Yang
2026SCOPE: Intrinsic Semantic Space Control for Mitigating Copyright Infringement in LLMs.
Zhenliang Zhang, Xinyu Hu, Xiaojun Wan
2026SCORE: Semantic Collage by Optimizing Rendered Elements.
Zefan Shao, Jin Zhou, Hongliang Yang, Pengfei Xu
2026SCo-Cloud: Satellite Constellation Collaboration for Cloud-Aware Onboard-Computed Imaging and Transmission.
Jia Liu, Qian Li, Yongqi Li, Cheng Ji, Shangguang Wang
2026SCoNE: Spherical Consistent Neighborhoods Ensemble for Effective and Efficient Multi-View Anomaly Detection.
Yang Xu, Hang Zhang, Yixiao Ma, Ye Zhu, Kai Ming Ting
2026SCoUT: A Framework for Structured Stereotype Analysis in Language Models.
Jinxuan Wu, Bin Li, Xiangyang Xue
2026SD-PSFNet: Sequential and Dynamic Point Spread Function Network for Image Deraining.
Jiayu Wang, Haoyu Bian, Haoran Sun, Shaoning Zeng
2026SDA: Steering-Driven Distribution Alignment for Open LLMs Without Fine-Tuning.
Wei Xia, Zhi-Hong Deng
2026SDE-HARL: Scalable Distributed Policy Execution for Heterogeneous-Agent Reinforcement Learning.
Toan D. Gian, Mohammad Abdi, Nathaniel D. Bastian, Francesco Restuccia
2026SDEval: Safety Dynamic Evaluation for Multimodal Large Language Models.
Hanqing Wang, Yuan Tian, Mingyu Liu, Zhenhao Zhang, Xiangyang Zhu
2026SDNet: LiDAR Semantic Scene Completion with Sparse-Dense Fusion and Input-Aware Label Refinement.
Tingming Bai, Zhiyu Xiang, Peng Xu, Tianyu Pu, Kai Wang, Eryun Liu
2026SE360: Semantic Edit in 360° Panoramas via Hierarchical Data Construction.
Haoyi Zhong, Fang-Lue Zhang, Andrew Chalmers, Taehyun Rhee
2026SEA-PACE: Semi-Supervised Underwater Image Enhancement via Gaussian Process-Assisted Self-Paced Learning.
Jingyang Wang, Hengyue Bi, Jingchao Cao, Feng Gao, Junyu Dong
2026SEAP: Sparse Expert Activation Pruning Unlocks the Brainpower of Large Language Models.
Xun Liang, Hanyu Wang, Huayi Lai, Simin Niu, Shichao Song, Jiawei Yang, Jihao Zhao, Feiyu Xiong, Bo Tang, Zhiyu Li
2026SEBSFormer: A Spectral-Enhanced Bi-Stream Transformer for Robust EEG Decoding.
Lin Zhang, Shikui Tu, Lei Xu
2026SEED: Spectral Entropy-Guided Evaluation of Spatial-Temporal Dependencies for Multivariate Time Series Forecasting.
Feng Xiong, Zongxia Xie, Yanru Sun, Haoyu Wang, Jianhong Lin
2026SEFEL: A Simple Yet Effective Framework for Fast Event Linking.
Yinan Liu, Ziyang Zhang, Bin Wang, Xiaochun Yang
2026SELDON: Supernova Explosions Learned by Deep ODE Networks.
Jiezhong Wu, Jack O'Brien, Jennifer Li, M. S. Krafczyk, Ved G. Shah, Amanda Wasserman, Daniel W. Apley, Gautham Narayan, Noelle I. Samia
2026SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition.
Qing Cai, Guihao Yan, Fan Zhang, Cheng Zhang, Zhi Liu
2026SEQRET: Mining Rule Sets from Event Sequences.
Aleena Siji, Joscha Cüppers, Osman Mian, Jilles Vreeken
2026SERL: Self-Examining Reinforcement Learning on Open-Domain.
Weixuan Ou, Yanzhao Zheng, Shuoshuo Sun, Wei Zhang, Baohua Dong, Hangcheng Zhu, Ruohui Huang, Gang Yu, Pengwei Yan, Yifan Qiao
2026SEVADE: Self-Evolving Multi-Agent Analysis with Decoupled Evaluation for Hallucination-Resistant Sarcasm Detection.
Ziqi Liu, Ziyang Zhou, Yilin Li, Mingxuan Hu, Yushan Pan, Zhijie Xu, Yangbin Chen
2026SFGA: Similarity-Constrained Fusion Learning for Unsupervised Anomaly Detection in Multiplex Graphs.
Huiliang Zhai, Xiangyi Teng, Jing Liu
2026SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning.
Ran Tao, Qiugang Zhan, Shantian Yang, Xiurui Xie, Qi Tian, Guisong Liu
2026SGAT: Learning Feature Matching with Singularity-enhanced Graph Attention Network.
Yizhuo Zhang, Kun Sun, Chang Tang, Yuanyuan Liu, Xin Li
2026SGMHand: Structure-Guided Modulation for Structure-Aware Hand Inpainting.
Chuancheng Shi, Shiming Guo, Ke Shui, Yixiang Chen, Fei Shen
2026SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems.
Jianghong Ma, Changran He, Dezhao Yang, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026SGP4SR: Separated-Modality Guided User Preference Learning for Multimodal Sequential Recommendation.
Changhong Li, Zhiqiang Guo, Guohui Li, Zhong Yang, Chuhang Hong
2026SGPFeat: Semantic and Geometric Priors for Multi-modal Image Matching.
Yuxin Deng, Botian Wang, Kaining Zhang, Hao Zhang, Jiayi Ma
2026SGS-3D: High-Fidelity 3D Instance Segmentation via Reliable Semantic Mask Splitting and Growing.
Chaolei Wang, Yang Luo, Jing Du, Siyu Chen, Yiping Chen, Ting Han
2026SGoT-R1: Social Graph of Thought Reasoning-Enhanced Multimodal Large Language Model for Harmful Meme Detection.
Xiuxian Wang, Yuting Su, Wenhui Li, Xiaowen Wang, Zhuojun Li, Anan Liu
2026SHADOW: Dynamic-Aware Credit Assignment Against Long-Horizon Tasks.
Yuze Liu, Chaochao Lu, Chao Yang
2026SHARE: Synthesizing Heterogeneous Autism-support Records into Evidence-based Recommendations.
Saumya Chauhan, Mila Hong
2026SIAM: Towards Generalizable Articulated Object Modeling via Single Robot-Object Interaction.
Yuyan Liu, Li Zhang, Di Wu, Yan Zhang, Anran Huang, Zhi Wang, Liu Liu, Dan Guo
2026SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization (Abstract Reprint).
Sepehr Samavi, James R. Han, Florian Shkurti, Angela P. Schoellig
2026SIDE: Surrogate Conditional Data Extraction from Diffusion Models.
Yunhao Chen, Shujie Wang, Difan Zou, Xingjun Ma
2026SIFThinker: Spatially-Aware Image Focus for Visual Reasoning.
Zhangquan Chen, Ruihui Zhao, Chuwei Luo, Mingze Sun, Xinlei Yu, Yangyang Kang, Ruqi Huang
2026SIGN: Schema Induced Games for Naming (Student Abstract).
Ryan Zhang, Herbert Woisetschläger
2026SITA: A Framework for Structure-to-Instance Theorem Autoformalization.
Chenyi Li, Wanli Ma, Zichen Wang, Zaiwen Wen
2026SL-CBM: Enhancing Concept Bottleneck Models with Semantic Locality for Better Interpretability.
Hanwei Zhang, Luo Cheng, Rui Wen, Yang Zhang, Lijun Zhang, Holger Hermanns
2026SLCFormer: Spectral-Local Context Transformer with Physics-Grounded Flare Synthesis for Nighttime Flare Removal.
Xiyu Zhu, Wei Wang, Xin Yuan, Xiao Wang
2026SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis.
Yifan Liang, Andong Li, Kang Yang, Guochen Yu, Fangkun Liu, Lingling Dai, Xiaodong Li, Chengshi Zheng
2026SM3Det: A Unified Model for Multi-Modal Remote Sensing Object Detection.
Yuxuan Li, Xiang Li, Yunheng Li, Yicheng Zhang, Yimian Dai, Qibin Hou, Ming-Ming Cheng, Jian Yang
2026SMART: A Surrogate Model for Predicting Application Runtime in Dragonfly Systems.
Xin Wang, Pietro Lodi Rizzini, Sourav Medya, Zhiling Lan
2026SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing.
Zewen Jin, Shen Fu, Chengjie Tang, Youhui Bai, Shengnan Wang, Jiaan Zhu, Chizheng Fang, Ping Gong, Cheng Li
2026SMPRO: Self-Supervised Visual Preference Alignment via Differentiable Multi-Preference Multi-Group Ranking.
Sirnam Swetha, Rui Meng, Shwetha Ram, Tal Neiman, Son Tran, Mubarak Shah
2026SMiLE: Provably Enforcing Global Relational Properties in Neural Networks.
Matteo Francobaldi, Michele Lombardi, Andrea Lodi
2026SMoFi: Step-wise Momentum Fusion for Split Federated Learning on Heterogeneous Data.
Mingkun Yang, Ran Zhu, Qing Wang, Jie Yang
2026SNN-Driven Event-Based Flow and Rotation Estimation with SO(3) Refinement.
Ruimin Sun, Haoran Xu, De Ma
2026SNS-Grasp: Semantic-guided Noise Scaling for Grasp Generation.
Zhenhua Tang, Yudian Zheng, Yuzhang Zhong, Haolun Li, Yanbin Hao, Chi-Man Pun
2026SOAR: Semi-Supervised Open-Vocabulary Aerial Object Detection via Dual-Aware Enhanced Prior Denoising.
Xu Liu, Yihong Huang, Dan Zhang, Lingling Li, Long Sun, Licheng Jiao
2026SODiff：Semantic-Oriented Diffusion Model for JPEG Compression Artifacts Removal.
Tingyu Yang, Jue Gong, Jinpei Guo, Wenbo Li, Yong Guo, Yulun Zhang
2026SOM Directions Are Better than One: Multi-Directional Refusal Suppression in Language Models.
Giorgio Piras, Raffaele Mura, Fabio Brau, Luca Oneto, Fabio Roli, Battista Biggio
2026SOMA: Feature Gradient Enhanced Affine-Flow Matching for SAR-Optical Registration.
Haodong Wang, Tao Zhuo, Xiuwei Zhang, Hanlin Yin, Wencong Wu, Yanning Zhang
2026SOSControl: Enhancing Human Motion Generation Through Saliency-Aware Symbolic Orientation and Timing Control.
Ho Yin Au, Junkun Jiang, Jie Chen
2026SPA: Achieving Consensus in LLM Alignment via Self-Priority Optimization.
Yue Huang, Xiangqi Wang, Xiangliang Zhang
2026SPAN: Benchmarking and Improving Cross-Calendar Temporal Reasoning of Large Language Models.
Zhongjian Miao, Hao Fu, Chen Wei
2026SPARD: Single-step Inference with Adaptive Sampling in Residual Diffusion for Human Motion Prediction.
Yiming Zhang, Baojia Han, Ximing Li, Wei Pang, Fausto Giunchiglia, Xiaoyue Feng, Renchu Guan
2026SPARE: Single-Pass Annotation with Reference-Guided Evaluation for Automatic Process Supervision and Reward Modelling.
Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych
2026SPEED-Q: Staged Processing with Enhanced Distillation Towards Efficient Low-Bit On-Device VLM Quantization.
Tianyu Guo, Shanwei Zhao, Shiai Zhu, Chenguang Ma
2026SPIRAL: Symbolic LLM Planning via Grounded and Reflective Search.
Yifan Zhang, Giridhar Ganapavarapu, Srideepika Jayaraman, Bhavna Agrawal, Dhaval Patel, Achille Fokoue
2026SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration.
Tongshun Zhang, Pingping Liu, Zijian Zhang, Qiuzhan Zhou
2026SPP-SCL: Semi-Push-Pull Supervised Contrastive Learning for Image-Text Sentiment Analysis and Beyond.
Jiesheng Wu, Shengrong Li
2026SPSC: Sparse and Scalable Multi-Modal 3D Occupancy Prediction for Autonomous Driving.
Qingju Guo, Shuang Li, Binhui Xie, Jing Geng, Wei Li
2026SR-KI: Scalable and Real-Time Knowledge Integration into LLMs via Supervised Attention.
Bohan Yu, Wei Huang, Kang Liu
2026SRACG: A Code Generation Framework with Selective Retrieval Augmentation.
Mengzhen Wang, Shukai Ma, Songwen Gong, Jiexin Wang, Ruolin Chen, Liuwen Cao, Yi Cai
2026SRAM: Shape-Realism Alignment Metric for No Reference 3D Shape Evaluation.
Sheng Liu, Tianyu Luan, Phani Nuney, Xuelu Feng, Junsong Yuan
2026SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs.
Shuhan Xu, Siyuan Liang, Hongling Zheng, Aishan Liu, Xinbiao Wang, Yong Luo, Fu Lin, Leszek Rutkowski, Dacheng Tao
2026SRSplat: Feed-Forward Super-Resolution Gaussian Splatting from Sparse Multi-View Images.
Xinyuan Hu, Changyue Shi, Chuxiao Yang, Minghao Chen, Jiajun Ding, Tao Wei, Chen Wei, Zhou Yu, Min Tan
2026SSCL: Adversarially Guided Image Compression via Semantic and Spectral Consistency Learning.
Wei Jiang, Yongqi Zhai, Jiayu Yang, Bohao Feng, Wenqiang Wang, Bo Huang, Lin Ding, Ronggang Wang
2026SSHPool: The Separated Subgraph-based Hierarchical Pooling.
Zhuo Xu, Lu Bai, Lixin Cui, Ming Li, Hangyuan Du, Ziyu Lyu, Yue Wang, Edwin R. Hancock
2026SSL-CST: Cell Segmentation for Single-Cell Spatial Transcriptome Based on Self-Supervised Learning.
Weiliang Huo, Shilin Zhang, Suixue Wang, Qingchen Zhang
2026SSR-SAM: Retrieval-Style Segment Anything Model for Semi-Supervised Ultra-High-Resolution Image Segmentation.
Shijie Li, Yiming Chen, Zhineng Chen, Kai Hu, Xieping Gao
2026SSR: Semantic and Spatial Rectification for CLIP-based Weakly Supervised Segmentation.
Xiuli Bi, Die Xiao, Junchao Fan, Bin Xiao
2026SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction.
Zheng Jiang, Wei Wang, Gaowei Zhang, Yi Wang
2026ST-LLM: Spatial Transcriptomics Embedding with Large Language Models.
Zhetao Xu, Xiaohua Wan, Le Li, Shuang Feng, Yiming Zhang, Fa Zhang, Bin Hu
2026ST-SAM: Multimodal Scene Text Segmentation with Dense Visual and Sparse Textual Prompts via SAM.
Jin Wei, Yaqiang Wu, Jiayi Yan, Zeng Li, Zhen Xu, Yu Zhou, Lingling Zhang, Qianying Wang
2026ST-TPP: Learning Semi-Transductive Temporal Point Processes with Gromov-Wasserstein Barycentric Regularization.
Qingmei Wang, Tianyu Huang, Yujie Long, Yuxin Wu, Fanmeng Wang, Xi Sun, Junchi Yan, Hongteng Xu
2026ST-VLM: A Spatial-to-Image Multimodal Spatial-Temporal Prediction Framework with Vision-Language Model.
Tong Zhao, Junping Du, Zhe Xue, MeiYu Liang, Aijing Li, Xiaolong Meng, Dandan Liu
2026STACK: Adversarial Attacks on LLM Safeguard Pipelines.
Ian R. McKenzie, Oskar John Hollinsworth, Tom Tseng, Xander Davies, Stephen Casper, Aaron David Tucker, Robert Kirk, Adam Gleave
2026STAR-1: Safer Alignment of Reasoning LLMs with 1K Data.
Zijun Wang, Haoqin Tu, Yuhan Wang, Juncheng Wu, Yanqing Liu, Jieru Mei, Brian R. Bartoldson, Bhavya Kailkhura, Cihang Xie
2026STEAMROLLER: A Multi-Agent System for Inclusive Automatic Speech Recognition for People Who Stutter.
Ziqi Xu, Yi Liu, Yuekang Li, Ling Shi, Kailong Wang, Yongxin Zhao
2026STELAR-VISION: Self-Topology-Aware Efficient Learning for Aligned Reasoning in Vision.
Chen Li, Han Zhang, Zhantao Yang, Fangyi Chen, Zihan Wang, Anudeepsekhar Bolimera, Marios Savvides
2026STEP-Nav: Spatial-Temporal Efficient Visual Token Pruning for Vision-and-Language Navigation with Large Language Models.
Yantao Lu, Shiqi Sun, Ning Liu, Bo Jiang, Ying Zhang, Jinchao Chen, Chenglie Du
2026STMI: Segmentation-Guided Token Modulation with Cross-Modal Hypergraph Interaction for Multi-Modal Object Re-Identification.
Xingguo Xu, Zhanyu Liu, Weixiang Zhou, Yuansheng Gao, Junjie Cao, Yuhao Wang, Jixiang Luo, Dell Zhang
2026STOLA: Self-Adaptive Touch-Language Framework for Tactile Commonsense Reasoning in Open-Ended Scenarios.
Ning Cheng, Jinan Xu, Jialing Chen, Bin Fang, Wenjuan Han
2026STRIDE-QA: Visual Question Answering Dataset for Spatiotemporal Reasoning in Urban Driving Scenes.
Keishi Ishihara, Kento Sasaki, Tsubasa Takahashi, Daiki Shiono, Yu Yamaguchi
2026STaR: Sensitive Trajectory Regulation for Unlearning in Large Reasoning Models.
Jingjing Zhou, Gaoxiang Cong, Li Su, Liang Li
2026STrans: Spontaneous Architecture Evolution for Adaptive Time Series Forecasting.
Haoyi Jia
2026SUGAR: Learning Skeleton Representation with Visual-Motion Knowledge for Action Recognition.
Qilang Ye, Yu Zhou, Lian He, Jie Zhang, Xuanming Guo, Jiayu Zhang, Mingkui Tan, Weicheng Xie, Yue Sun, Tao Tan, Xiaochen Yuan, Ghada Khoriba, Zitong Yu
2026SVD-NO: Learning PDE Solution Operators with SVD Integral Kernels.
Noam Koren, Ralf J. J. Mackenbach, Ruud J. G. van Sloun, Kira Radinsky, Daniel Freedman
2026SVGL: Scale-Variable Graph Learning in Model Space for Multivariate Time Series Classification.
Shikang Liu, Ziyu Tang, Xiren Zhou, Huanhuan Chen
2026SWIFT：A General Sensitive Weight Identification Framework for Fast Sensor-Transfer Pansharpening.
Zeyu Xia, Chenxi Sun, Tianyu Xin, Yubo Zeng, Haoyu Chen, Liang-Jian Deng
2026S^2-KD: Semantic-Spectral Knowledge Distillation Spatiotemporal Forecasting.
Wenshuo Wang, Yaomin Shen, Yingjie Tan, Yihao Chen
2026Safe Multi-Agent Reinforcement Learning via Distributional Safety Critic and Maximum Entropy Optimization.
Qiwei Liu, Ye Yuan, Lingyue Zhang, Kaitian Chen, Yunkai Lv, Sheng Gao, Huaicheng Yan
2026Safe Multi-agent Reinforcement Learning with Natural Language Constraints.
Ziyan Wang, Meng Fang, Tristan Tomilin, Fei Fang, Yali Du
2026Safe RAG by RAG: Untying the Bell That RAG Rang with the RAG Hand.
Xun Liang, Mengwei Wang, Yuefeng Ma, Simin Niu
2026Safe Reinforcement Learning for Trustworthy AI: Theory, Algorithms, and Applications.
Honghao Wei
2026SafeLens: Segment-Level Hate Speech Detection in Online Videos.
Zhuoran Wang, Dylan Raharja, Yujia Hu, Roy Ka-Wei Lee
2026SafeMIL: Learning Offline Safe Imitation Policy from Non-Preferred Trajectories.
Returaj Burnwal, Nirav Pravinbhai Bhatt, Balaraman Ravindran
2026SafeNLIDB: A Privacy-Preserving Safety Alignment Framework for LLM-based Natural Language Database Interfaces.
Ruiheng Liu, Xiaobing Chen, Jinyu Zhang, Qiongwen Zhang, Yu Zhang, Bailong Yang
2026SafeR-CLIP: Mitigating NSFW Content in Vision-Language Models While Preserving Pre-Trained Knowledge.
Adeel Yousaf, Joseph Fioresi, James Beetham, Amrit Singh Bedi, Mubarak Shah
2026SafeSieve: From Heuristics to Experience in Progressive Pruning for LLM-based Multi-Agent Communication.
Ruijia Zhang, Xinyan Zhao, Ruixiang Wang, Sigen Chen, Guibin Zhang, An Zhang, Kun Wang, Qingsong Wen
2026Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions.
Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang, Xing Hu
2026SafetyReminder: Reviving Delayed Safety Awareness of Vision-Language Models to Defend Against Jailbreak Attacks.
Peiyuan Tang, Haojie Xin, Xiaodong Zhang, Jun Sun, Qin Xia, Zijiang James Yang
2026SageLM: A Multi-aspect and Explainable Large Language Model for Speech Judgement.
Yuan Ge, Junxiang Zhang, Xiaoqian Liu, Bei Li, Xiangnan Ma, Chenglong Wang, Kaiyang Ye, Yangfan Du, Linfeng Zhang, Yuxin Huang, Tong Xiao, Zhengtao Yu, Jingbo Zhu
2026SalDiff-DTM: A Novel Dual-Temporal Modulated Diffusion Model for Omnidirectional Images Scanpath Prediction.
Xiaohui Kong, Qian Liu, Dandan Zhu, Kaiwei Zhang, Xiongkuo Min
2026Salvador Urban Network Transportation (SUNT): A Landmark Spatiotemporal Dataset for Public Transportation (Abstract Reprint).
Marcos Vinicius Ferreira, Matheus Souza, Tatiane N. Rios, Islame F. C. Fernandes, Jorge Nery, João Gama, Albert Bifet, Ricardo Araújo Rios
2026Sample Weighted Incomplete Multimodal Clustering Based on Graph Coarsening Label Extraction.
Zhenjiao Liu, Xue Xiao, Yao Chen, Jiao Xue, Shubin Ma, Liang Zhao
2026Sample-and-Search: An Effective Algorithm for Learning-Augmented k-Median Clustering in High Dimensions.
Kangke Cheng, Shihong Song, Guanlin Mo, Hu Ding
2026Sample-specific Modality Diagnosis and Cross-modal Enhancement for Incomplete Multimodal Representations.
Junsong Chen, Jiyuan Liu, Suyuan Liu, Wei Zhang, Ao Li, En Zhu, Xinwang Liu
2026Sampling Control for Imbalanced Calibration in Semi-Supervised Learning.
Senmao Tian, Xiang Wei, Shunli Zhang
2026Sampling-Free Uncertainty Quantification via Hidden State Dynamics in Language Models.
Yixin Bu, Guanyun Zou, Renzhi Wang, Runze Xia, Cunjun Wang, Hongliang Dai, Xiaoqing Ma, Piji Li
2026SampurNER: Fine-Grained Named Entity Recognition Dataset for 22 Indian Languages.
Prachuryya Kaushik, Ashish Anand
2026Sarcopenia Assessment Model Based on Dual-Source Modal Graph.
Wenxian Zheng, Zhi Chen, Qiaoqin Li, Rongyao Hu, Yongguo Liu
2026Sat2Flow: A Structure-Aware Diffusion Framework for Human Flow Generation from Satellite Imagery.
Xiangxu Wang, Tianhong Zhao, Wei Tu, Bowen Zhang, Guanzhou Chen, Jinzhou Cao
2026SatSolarCast: A Flexible Framework for Multimodal Solar Irradiance Forecasting via Memory-Alignment Learning.
Kuai Dai, Hui Su, Chengxing Zhai, Huiwei Lin, Mingliang Bai
2026Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting.
Pengfei Jia, Jianghong Ma, Baoquan Zhang, Kenghong Lin, Xinyu Zhang, Chuyao Luo, Xutao Li, Yunming Ye
2026SatireDecoder: Visual Cascaded Decoupling for Enhancing Satirical Image Comprehension.
Yue Jiang, Haiwei Xue, Minghao Han, Mingcheng Li, Xiaolu Hou, Dingkang Yang, Lihua Zhang, Xu Zheng
2026Satisficing and Optimal Generalised Planning via Goal Regression.
Dillon Z. Chen, Till Hofmann, Toryn Q. Klassen, Sheila A. McIlraith
2026Save, Revisit, Retain: A Scalable Framework for Enhancing User Retention in Large-Scale Recommender Systems.
Weijie Jiang, Armando Ordorica, Jaewon Yang, Olafur Gudmundsson, Yucheng Tu, Huizhong Duan
2026Say More with Less: Variable-Frame-Rate Speech Tokenization via Adaptive Clustering and Implicit Duration Coding.
Rui-Chen Zheng, Wenrui Liu, Hui-Peng Du, Qinglin Zhang, Chong Deng, Qian Chen, Wen Wang, Yang Ai, Zhen-Hua Ling
2026Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization.
Zeel B. Patel, Vinayak Rana, Nipun Batra
2026Scalable Mixed-Integer Optimization with Neural Constraints via Dual Decomposition.
Shuli Zeng, Sijia Zhang, Feng Wu, Shaojie Tang, Xiangyang Li
2026Scalable Multi-Objective and Meta Reinforcement Learning via Gradient Estimation.
Zhenshuo Zhang, Minxuan Duan, Youran Ye, Hongyang R. Zhang
2026Scalable Privacy-Preserving Neural Network Training over Z2k via RMFE-Based Packing and Mixed-Circuit Computation.
Hengcheng Zhou
2026Scalable Semi-supervised Community Search via Graph Transformer on Attributed Heterogeneous Information Networks.
Linlin Ding, Zhaosong Zhao, Mo Li, Yishan Pan, Xin Wang, Renata Borovica-Gajic
2026Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics.
Yang You, Alex Schutz, Zhikun Li, Bruno Lacerda, Robert Skilton, Nick Hawes
2026Scalable Solutions to Zero-Sum Partially Observable Stochastic Games Through Belief Aggregation with Approximation Guarantees.
Kim Hammar, Tansu Alpcan
2026Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis (Abstract Reprint).
Yujie Yang, Hanjiang Hu, Tianhao Wei, Shengbo Eben Li, Changliu Liu
2026Scalable Vision-Guided Crop Yield Estimation.
Harrison H. Li, Medhanie Irgau, Nabil Janmohamed, Karen Solveig Rieckmann, David B. Lobell
2026Scalable and Efficient Large-Scale Log Analysis with LLMs: An IT Software Support Case Study.
Pranjal Gupta, Karan Bhukar, Harshit Kumar, Seema Nagar, Prateeti Mohapatra, Debanjana Kar
2026Scale Regularization for Stable Low-Rank Adaptation.
Tan Xeng Ian
2026Scale-Net: A Hierarchical U-Net Framework for Cross-Scale Generalization in Multi-Task Vehicle Routing.
Suyu Liu, Zhiguang Cao, Nan Yin, Yew-Soon Ong
2026Scaling Equitable Reflection Assessment in Education via Large Language Models and Role-Based Feedback Agents.
Chenyu Zhang, Xiaohang Luo
2026Scaling Human-Centric Trustworthy Foundation Model via Advanced Reasoning and Agentic Frameworks.
Yi Ren Fung
2026Scaling LLM Speculative Decoding: Non-Autoregressive Forecasting in Large-Batch Scenarios.
Luohe Shi, Zuchao Li, Lefei Zhang, Baoyuan Qi, Guoming Liu, Hai Zhao
2026Scaling Law Analysis in Federated Learning: How to Select the Optimal Model Size?
Xuanyu Chen, Nan Yang, Shuai Wang, Dong Yuan
2026Scaling Law for Large Wireless Models.
Ziheng Liu, Jiayi Zhang, Haoyu Wang, Bokai Xu, Chen Zhang, Yiyang Zhu, Enyu Shi
2026Scaling Laws for Conditional Emergence of Multilingual Image Captioning via Generalization from Translation.
Julian Spravil, Sebastian Houben, Sven Behnke
2026Scaling Towards the Information Boundary of Instructions through Data Synthesizing.
Li Du, Hanyu Zhao, Yiming Ju, Tengfei Pan
2026Scaling Up AI Alignment.
Aarti Singh
2026Scaling Up Cooperative Multi-Agent Reinforcement Learning Through Hierarchical Heterogeneous Modular Architectures.
Minghong Geng
2026Scaling and Transferability of Annealing Strategies in Large Language Model Training.
Siqi Wang, Zhengyu Chen, Teng Xiao, Zheqi Lv, Jinluan Yang, Xunliang Cai, Jingang Wang, Xiaomeng Li
2026Scaling-up Perceptual Video Quality Assessment.
Ziheng Jia, Zicheng Zhang, Xiaorong Zhu, Chunyi Li, Jinliang Han, Xiaohong Liu, Guangtao Zhai, Xiongkuo Min
2026Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition.
Xiaowen Fu, Yang Zhang, Yuhan Tang, Huazhong Zhang, Tianxing Zhao, Yuhang Guo, Yu Huang, Jinbao Wang
2026Scene-Aware Spatiotemporal Generalization: Towards Robust Temporal Action Detection Across Domains.
Fangming Feng, Sihang Cai, Zequn Xie, Yangyang Wu, Tao Jin
2026SceneGenesis: 3D Scene Synthesis via Semantic Structural Priors and Mesh-Guided Video-Geometry Fusion.
Yueming Zhao, Hongyu Yang, Di Huang
2026SceneJailEval: A Scenario-Adaptive Multi-Dimensional Framework for Jailbreak Evaluation.
Lai Jiang, Yuekang Li, Xiaohan Zhang, Youtao Ding, Li Pan
2026SchellingFormer: Laplacian Matrix-guided Geometric Transformer for Robust Schelling Point Detection.
Yihao Chen, Haobo Jiang, Liang Yu, Jianmin Zheng
2026Schema on the Inside: A Two-Phase Fine-Tuning Method for High-Efficiency Text-to-SQL at Scale.
Chinmay Soni, Shivam Chourasia, Gaurav Kumar, Hitesh Kapoor
2026Schema-Guided Event Reasoning: A Plug-and-Play Event Reasoning Framework Based on Large Language Models.
Yuying Liu, Xuechen Zhao, Yanyi Huang, Ye Wang, Xin Song, Yue Zhang, Haiyan Liu, Bin Zhou
2026Schema-Guided Scene-Graph Reasoning Based on Multi-Agent Large Language Model System.
Yiye Chen, Harpreet S. Sawhney, Nicholas Gyde, Yanan Jian, Jack Saunders, Patricio A. Vela, Benjamin E. Lundell
2026SciDataMAS: LLM-Driven MAS for Scientific Data Management (Student Abstract).
Alexander Sachuk, Vyacheslav Chukanov, Ekaterina Pchitskaya
2026SciMKG: A Multimodal Knowledge Graph for Science Education with Text, Image, Video and Audio.
Tong Lu, Zhichun Wang, Yaoyu Zhou, Yiming Guan, Zhiyong Bai, Junsheng Du
2026Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond.
Joshua Fan, Haodi Xu, Feng Tao, Md Nasim, Marc Grimson, Yiqi Luo, Carla P. Gomes
2026Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems.
Kai Sun, Wenqiang Li, Bo Dong, Yuxin Lin, Jingyao Zhang, Bin Shi
2026Score-Based Model for Low-Rank Tensor Recovery.
Zhengyun Cheng, Changhao Wang, Guanwen Zhang, Yi Xu, Wei Zhou, Xiangyang Ji
2026SculptDrug: A Spatial Condition-Aware Bayesian Flow Model for Structure-based Drug Design.
Qingsong Zhong, Haomin Yu, Yan Lin, Wangmeng Shen, Long Zeng, Jilin Hu
2026SeViL: Semi-supervised Vision-Language Learning with Text Prompt Guiding for Moving Infrared Small Target Detection.
Weiwei Duan, Luping Ji, Jianghong Huang, Sicheng Zhu
2026SecMoE: Communication-Efficient Secure MoE Inference via Select-Then-Compute.
Bowen Shen, Yuyue Chen, Peng Yang, Bin Zhang, Xi Zhang, Zoe L. Jiang
2026Security Games with Layered Defenses: Adaptive Adversaries and Gittins Indices.
Chun Kai Ling, Jakub Cerný, Chin Hui Han, Garud Iyengar, Christian Kroer
2026See, Rank, and Filter: Important Word-Aware Clip Filtering via Scene Understanding for Moment Retrieval and Highlight Detection.
Yueun Lee, Jung Uk Kim
2026Seeing Beyond Illusion: Generalized and Efficient Mirror Detection.
Mingfeng Zha, Guoqing Wang, Tianyu Li, Wei Dong, Peng Wang, Yang Yang
2026Seeing Is Believing: Grounding Long-Video Understanding in Spatio-Temporal Visual Evidence.
Zhaoyang Wei, Guoliang Wang, Guohua Gao, Yanchao Hao, Mingda Li, Wenchao Ding, Xi Chen, Shizhu He, Xuehui Yu
2026Seeing Is Believing: Rich-Context Hallucination Detection for MLLMs via Backward Visual Grounding.
Pinxue Guo, Chongruo Wu, Xinyu Zhou, Lingyi Hong, Zhaoyu Chen, Jinglun Li, Kaixun Jiang, Sen-ching Samson Cheung, Wei Zhang, Wenqiang Zhang
2026Seeing Through the Rain: Resolving High-Frequency Conflicts in Deraining and Super-Resolution via Diffusion Guidance.
Wenjie Li, Jinglei Shi, Jin Han, Heng Guo, Zhanyu Ma
2026Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning.
Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab
2026Seeing from Another Perspective: Evaluating Multi-View Understanding in MLLMs.
Chun-Hsiao Yeh, Chenyu Wang, Shengbang Tong, Ta Ying Cheng, Ruoyu Wang, Tianzhe Chu, Yuexiang Zhai, Yubei Chen, Shenghua Gao, Yi Ma
2026Seeing in Double: Dual-Granularity BEV Segmentation via Mamba-Driven Alignment and Polar-Decoupled Experts.
Jiaxin Cai, Rui Lin, Jingze Su, Qi Li, Wenjie Yang, Yuanlong Yu, Wenxi Liu
2026Seeing the Unseen: Zooming in the Dark with Event Cameras.
Dachun Kai, Zeyu Xiao, Huyue Zhu, Jiaxiao Wang, Yueyi Zhang, Xiaoyan Sun
2026Seeing through the Conflict: Transparent Knowledge Conflict Handling in Retrieval-Augmented Generation.
Hua Ye, Siyuan Chen, Ziqi Zhong, Canran Xiao, Haoliang Zhang, Yuhan Wu, Fei Shen
2026SegDINO3D: 3D Instance Segmentation Empowered by Both Image-Level and Object-Level 2D Features.
Jinyuan Qu, Hongyang Li, Xingyu Chen, Shilong Liu, Yukai Shi, Tianhe Ren, Ruitao Jing, Lei Zhang
2026SegMem-RAG: Adaptive Memory for Retrieval-Augmented Generation in Open-Ended Knowledge Environments.
Xuanbo Fan, Tianqi Zhao, Yi Cheng, Chi Xiu, Jiaxin Guo, Boci Peng, Bingjing Xu, Jessica Zhang, Feng Sun, Yan Zhang
2026Segment Anything Across Shots: A Method and Benchmark.
Hengrui Hu, Kaining Ying, Henghui Ding
2026Segment and Matte Anything in a Unified Model.
Zezhong Fan, Xiaohan Li, Topojoy Biswas, Kaushiki Nag, Kannan Achan
2026Selection of LLM Fine-Tuning Data Based on Orthogonal Rules.
Xiaomin Li, Mingye Gao, Zhiwei Zhang, Chang Yue, Hong Hu
2026Selective Diffusion Distillation for Real-World High-Scale Image Super-Resolution.
Wenli Zheng, Huiyuan Fu, Zekai Xu, Xin Wang, Huadong Ma
2026Selective Weak-to-Strong Generalization.
Hao Lang, Fei Huang, Yongbin Li
2026Self-Adaptive Graph Mixture of Models.
Mohit Meena, Yash Punjabi, Abhishek A, Vishal Sharma, Mahesh Chandran
2026Self-Correction Distillation for Structured Data Question Answering.
Yushan Zhu, Wen Zhang, Long Jin, Mengshu Sun, Ling Zhong, Zhiqiang Liu, Juan Li, Lei Liang, Chong Long, Chao Deng, Junlan Feng
2026Self-Enhanced Image Clustering with Cross-Modal Semantic Consistency.
Zihan Li, Wei Sun, Jing Hu, Jianhua Yin, Xing Wang, Erwei Yin, Jianlong Wu
2026Self-Guided Planning and Repair Framework for Code Generation (Student Abstract).
Chun-Wei Kang, Chung-Chi Chen, An-Zi Yen
2026Self-Improving Sparse Retrieval Through Heuristic Representation Refinement and Representation-Focused Learning.
Xiaojing Li, Bin Wang, Xiaochun Yang, Meng Luo
2026Self-Indexing KVCache: Predicting Sparse Attention from Compressed Keys.
Xu Yang, Jiapeng Zhang, Dongyang Zhao, Guo Chen, Zhuo Tang
2026Self-Interpretable Subgraph Neural Network with Deep Reinforcement Walk Exploration.
Jianming Huang, Hiroyuki Kasai
2026Self-NPO: Data-Free Diffusion Model Enhancement via Truncated Diffusion Fine-Tuning.
Fu-Yun Wang, Keqiang Sun, Yao Teng, Xihui Liu, Jiale Yuan, Jiaming Song, Hongsheng Li
2026Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks.
Ankit Bhardwaj, Rohail Asim, Sachin Kumar Chauhan, Yasir Zaki, Lakshmi Subramanian
2026Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification.
Meixia Wang, Yuhai Zhao, Zhengkui Wang, Yejiang Wang, Miaomiao Huang, Fenglong Ma, Fazal Wahab, Wen Shan, Xingwei Wang
2026Self-Supervised Cross-City Trajectory Representation Learning Based on Meta-Learning.
Yanwei Yu, Hong Xia, Shaoxuan Gu, Xingyu Zhao, Dongliang Chen, Yuan Cao
2026Self-Supervised Hypergraph Learning with Substructure Awareness for Hyperedge Prediction.
Ming Li, Huiting Wang, Yuting Chen, Lu Bai, Lixin Cui, Feilong Cao, Ke Lv
2026Self-Supervised Inductive Logic Programming.
Stassa Patsantzis
2026Self-Supervised Learning Based on Transformed Image Reconstruction for Equivariance-Coherent Feature Representation.
Qin Wang, Alessio Quercia, Benjamin Bruns, Abigail Morrison, Hanno Scharr, Kai Krajsek
2026Self-Supervised One-Step Diffusion Refinement for Snapshot Compressive Imaging.
Shaoguang Huang, Yunzhen Wang, Haijin Zeng, Hongyu Chen, Hongyan Zhang
2026Self-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection.
Haoran Zhu, Zhenyuan Dong, Kristi Topollai, Beiyao Sha, Anna Choromanska
2026Self-supervised Multiplex Consensus Mamba for General Image Fusion.
Yingying Wang, Rongjin Zhuang, Hui Zheng, Xuanhua He, Ke Cao, Xiaotong Tu, Xinghao Ding
2026Semantic Alignment of Malicious Question Based on Contrastive Semantic Networks and Data Augmentation (Abstract Reprint).
Xinyan Wang, Jinshuo Liu, Juan Deng, Meng Wang, Qian Deng, Youcheng Yan, Lina Wang, Yunsong Ma, Jeff Z. Pan
2026Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling.
Adam Hazimeh, Ke Wang, Mark Collier, Gilles Baechler, Efi Kokiopoulou, Pascal Frossard
2026Semantic Embedding and Synthetic Augmentation for Longitudinal Survey Prediction (Student Abstract).
Julia Rezvani, Alina Hyk, Thuyen Pham, Leonardo Marciaga, Chunyang Liao, Raffaele Vardavas, Konstantinos Mitsopoulos
2026Semantic Feature Purification for Adversarially-Aware RGB-T Tracking.
Jiahao Wang, Fang Liu, Hao Wang, Shuo Li, Xinyi Wang, Puhua Chen
2026Semantic Guided Part Relation-aware Network for Point Cloud Completion.
Zhensheng Zhou, Jianqing Liang, Jiye Liang, Zijin Du, Chenghao Fang
2026Semantic Volume: Quantifying and Detecting Both External and Internal Uncertainty in LLMs.
Xiaomin Li, Zhou Yu, Ziji Zhang, Yingying Zhuang, Swair Shah, Narayanan Sadagopan, Anurag Beniwal
2026Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration.
Xiaohan Zhang, Chao Zhang, Deng Xu, Hong Yu, Chunlin Chen, Huaxiong Li
2026Semantic-Aware Data Augmentation for Sequential Recommendation.
Zhifu Wei
2026Semantic-Aware Feature Enhancement for Partial Label Learning.
Haowei Mei, Chao Zhang, Wentao Fan, Xiuyi Jia, Chunlin Chen, Huaxiong Li
2026Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval.
Likang Peng, Chao Su, Wenyuan Wu, Yuan Sun, Dezhong Peng, Xi Peng, Xu Wang
2026Semantic-Driven Visual Progressive Refinement for Aerial-Ground Person ReID: A Challenging Large-Scale Benchmark.
Aihua Zheng, Hao Xie, Xixi Wan, Zi Wang, Shihao Li, Jin Tang, Bin Luo
2026Semantic-Guided Sketch-to-RGB Image Generation via Controlled Diffusion for Improved Sketch Recognition (Student Abstract).
Ritika Jain, Atul Kumar, Akshay Agarwal
2026SemanticNN: Compressive and Error-Resilient Semantic Offloading for Extremely Weak Devices.
Jiaming Huang, Yi Gao, Fuchang Pan, Renjie Li, Wei Dong
2026SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation.
Wei Li, Renshan Zhang, Rui Shao, ZhiJian Fang, Kaiwen Zhou, Zhuotao Tian, Liqiang Nie
2026Semantics and Content Matter: Towards Multi-Prior Hierarchical Mamba for Image Deraining.
Zhaocheng Yu, Kui Jiang, Junjun Jiang, Xianming Liu, Guanglu Sun, Yi Xiao
2026Semantics-Preserving Adversarial Attacks on Event-Driven Stock Prediction Models.
Aofan Liu, Haoxuan Li, Hongjian Xing, Yuguo Yin, Zijun Li, Yiyan Qi
2026Semi-Supervised High Dynamic Range Image Reconstructing via Bi-Level Uncertain Area Masking.
Wei Jiang, Jiahao Cui, Yizheng Wu, Zhan Peng, Zhiyu Pan, Zhiguo Cao
2026Semi-Supervised Regression by Preserving Ranking Relationships Between Close Unlabeled Samples.
Ximing Li, Jiaxuan Jiang, Changchun Li, You Lu, Renchu Guan
2026Semi-Supervised Semantic Segmentation via Derivative Label Propagation.
Yuanbin Fu, Xiaojie Guo
2026Semi-Supervised Synthetic Data Generation with Fine-Grained Relevance Control for Short Video Search Relevance Modeling.
Haoran Li, Zhiming Su, Junyan Yao, Enwei Zhang, Yang Ji, Yan Chen, Kan Zhou, Chao Feng, Jiao Ran
2026Semi-supervised Latent Disentangled Diffusion Model for Textile Pattern Generation.
Chenggong Hu, Yi Wang, Mengqi Xue, Haofei Zhang, Jie Song, Li Sun
2026Semore: VLM-guided Enhanced Semantic Motion Representations for Visual Reinforcement Learning.
Wentao Wang, Chunyang Liu, Kehua Sheng, Bo Zhang, Yan Wang
2026Sensor Model Identification via Simultaneous Model Selection and State Variable Determination (Abstract Reprint).
Christian Brommer, Alessandro Fornasier, Jan Steinbrener, Stephan Weiss
2026Sentient: Detecting APTs via Capturing Indirect Dependencies and Behavioral Logic.
Wenhao Yan, Ning An, Wei Qiao, Weiheng Wu, Zhigang Lu, Bo Jiang, Baoxu Liu, Junrong Liu
2026SepPrune: Structured Pruning for Efficient Deep Speech Separation.
Yuqi Li, Kai Li, Xin Yin, Zhifei Yang, Zeyu Dong, Zhengtao Yao, Haoyan Xu, Yingli Tian, Yao Lu
2026SeqWalker: Sequential-Horizon Vision-and-Language Navigation with Hierarchical Planning.
Zebin Han, Xudong Wang, Baichen Liu, Qi Lyu, Zhenduo Shang, Jiahua Dong, Lianqing Liu, Zhi Han
2026Sequence-Free for Compound Protein Interaction Prediction.
Hongzhi Zhang, Jiameng Chen, Kun Li, Yida Xiong, Xiantao Cai, Wenbin Hu, Jia Wu
2026Sequential Selling with Sunk Cost Bias.
Yasushi Kawase, Tomohiro Nakayoshi
2026ShaLa: Multimodal Shared Latent Generative Modelling.
Jiali Cui, Yan-Ying Chen, Yanxia Zhang, Matthew Klenk
2026ShadeEdit: A Utility-Preserving and Defense-Evasive Knowledge Manipulation Attack in Federated LLMs.
Xu Zhang, Hangcheng Liu, Shangwei Guo, Shudong Zhang, Tianwei Zhang, Tao Xiang
2026Shadows in the Code: Exploring the Risks and Defenses of LLM-based Multi-Agent Software Development Systems.
Xiaoqing Wang, Keman Huang, Bin Liang, Hongyu Li, Xiaoyong Du
2026ShapBPT: Image Feature Attributions Using Data-Aware Binary Partition Trees.
Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari, Damiano Verda
2026Shaping Human-AI Collaboration in Education: Effects of AI-Assisted Decision-Making Paradigms and Human-AI Decision Consistency on Pre-Service Teachers' Psychological States and Performance.
Yingying Wang, Qin Ni, Haoxin Xu, Jiaqi Yin, Tingjiang Wei
2026Shaping Parameter Contribution Patterns for Out-of-Distribution Detection.
Haonan Xu, Yang Yang
2026Shaping Without Tearing: Controllable Diffeomorphic Deformations for Topology-Preserving 3D Point Cloud Augmentation.
Jian Bi, Qianliang Wu, Jianjun Qian, Lei Luo, Jian Yang
2026Shapley Value Approximation Based on k-Additive Games.
Guilherme Dean Pelegrina, Patrick Kolpaczki, Eyke Hüllermeier
2026Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning.
Magauiya Zhussip, Dmitriy Shopkhoev, Ammar Ali, Stamatios Lefkimmiatis
2026Shared & Domain Self-Adaptive Experts with Frequency-Aware Discrimination for Continual Test-Time Adaptation.
Jianchao Zhao, Chenhao Ding, Songlin Dong, Jiangyang Li, Qiang Wang, Yuhang He, Yihong Gong
2026SharedRep-RLHF: A Shared Representation Approach to RLHF with Diverse Preferences.
Arpan Mukherjee, Marcello Bullo, Deniz Gündüz
2026Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning.
Jialong Qin, Xin Zou, Di Lu, Yibo Yan, Xuming Hu
2026Sheaf Graph Neural Networks via PAC-Bayes Spectral Optimization.
Yoonhyuk Choi, Jiho Choi, Taewook Ko, JongWook Kim, Chong-Kwon Kim
2026Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation.
Jiao Li, Jian Lang, Xikai Tang, Wenzheng Shu, Ting Zhong, Qiang Gao, Yong Wang, Leiting Chen, Fan Zhou
2026SheetBrain: A Neuro-Symbolic Agent for Accurate Reasoning over Complex and Large Spreadsheets.
Ziwei Wang, Jiayuan Su, Mengyu Zhou, Huaxing Zeng, Mengni Jia, Xiao Lv, Haoyu Dong, Xiaojun Ma, Shi Han, Dongmei Zhang
2026ShieldRAG: Safeguarding Retrieval-Augmented Generation from Untrusted Knowledge Bases.
Peiru Yang, Haoran Zheng, Yi Luo, Xinyi Liu, Jinrui Wang, Huili Wang, Xintian Li, Yongfeng Huang, Tao Qi
2026ShoppingBench: A Real-World Intent-Grounded Shopping Benchmark for LLM-based Agents.
Jiangyuan Wang, Kejun Xiao, Qi Sun, Huaipeng Zhao, Tao Luo, Jiandong Zhang, Xiaoyi Zeng
2026ShortageSim: Simulating Drug Shortages Under Information Asymmetry.
Mingxuan Cui, Yilan Jiang, Duo Zhou, Cheng Qian, Yuji Zhang, Qiong Wang
2026Shortcut Learning Susceptibility in Vision Classifiers (Student Abstract).
Pirzada Suhail, Vrinda Goel, Amit Sethi
2026Should You Use LLMs to Simulate Opinions? Quality Checks for Early-Stage Deliberation.
Terrence Neumann, Maria De-Arteaga, Sina Fazelpour
2026Shrinking the Teacher: An Adaptive Teaching Paradigm for Asymmetric EEG-Vision Alignment.
Lukun Wu, Jie Li, Ziqi Ren, Kaifan Zhang, Xinbo Gao
2026SigFusion: Unified Signal-Level Self-Supervised Learning Paradigm for Image Fusion.
Zeyu Wang, Jiawei Feng, Jiayu Wang, Pengjie Wang, Haiyu Song
2026Sign-Aware Multimodal Graph Recommendation.
Yahong Lian, Haotian Tian, Chunyao Song, Tingjian Ge
2026Signal Enhancement via Multi-view Dynamic Representation and Alignment-aware Fusion.
Zikun Jin, Yuhua Qian, Xinyan Liang, Jiaqian Zhang, Jinpeng Yuan, Shen Hu, Haijun Geng, Honghong Cheng
2026Signal: Selective Interaction and Global-local Alignment for Multi-Modal Object Re-Identification.
Yangyang Liu, Yuhao Wang, Pingping Zhang
2026Silenced Biases: The Dark Side LLMs Learned to Refuse.
Rom Himelstein, Amit Levi, Brit Youngmann, Yaniv Nemcovsky, Avi Mendelson
2026Sim-to-Real: An Unsupervised Noise Layer for Screen-Camera Watermarking Robustness.
Yufeng Wu, Xin Liao, Baowei Wang, Han Fang, Xiaoshuai Wu, Mingyue Chen, Guiling Wang
2026Sim4Seg: Boosting Multimodal Multi-disease Medical Diagnosis Segmentation with Region-Aware Vision-Language Similarity Masks.
Lingran Song, Yucheng Zhou, Jianbing Shen
2026SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting.
Hang Ding, Xue Wang, Tian Zhou, Tao Yao
2026SimLabel: Similarity-Weighted Semi-supervision for Multi-annotator Learning with Missing Labels.
Liyun Zhang, Zheng Lian, Hong Liu, Takanori Takebe, Yuta Nakashima
2026SimROD: A Simple Baseline for Raw Object Detection with Global and Local Enhancements.
Haiyang Xie, Xi Shen, Shihua Huang, Qirui Wang, Zheng Wang
2026Simba: Towards High-Fidelity and Geometrically-Consistent Point Cloud Completion via Transformation Diffusion.
Lirui Zhang, Zhengkai Zhao, Zhi Zuo, Pan Gao, Jie Qin
2026SimpleDiffusion: A Lightweight and Efficient Conditional Diffusion Model for Multi-Modal Salient Object Detection.
Shuo Zhang, Jiaming Huang, Wenbing Tang, Jing Liu, Li Han, Jiandun Li, Hongchun Yuan, Zizhu Fan
2026Simulated Rewards, Skewed Strategies: Tracing the Acquired Preference Bias in LLM-Based Dialogue Planners.
Heyan Huang, Yizhe Yang, Huashan Sun, Jiawei Li, Yang Gao
2026Simulating Dispute Mediation with LLM-Based Agents for Legal Research.
Junjie Chen, Haitao Li, Minghao Qin, Yujia Zhou, Yanxue Ren, Wuyue Wang, Yiqun Liu, Yueyue Wu, Qingyao Ai
2026Simulating Distribution Dynamics: Liquid Temporal Feature Evolution for Single-Domain Generalized Object Detection.
Zihao Zhang, Yang Li, Aming Wu, Yahong Han
2026Simulating Human-Like Counseling: A Path- and Scenario-Guided Framework for Psychological Support Dialogue.
Yuanchen Shi, Longyin Zhang, Maodong Li, Yibin Zheng, Xiuhong Wang, Fang Kong
2026Simulation-Driven Railway Delay Prediction: An Imitation Learning Approach.
Clément Elliker, Jesse Read, Sonia Vanier, Albert Bifet
2026SinBasis Networks: Matrix-Equivalent Feature Extraction for Wave-Like Optical Spectrograms.
Yuzhou Zhu, Zheng Zhang, Ruyi Zhang, Liang Zhou
2026SineLoRA∆: Sine-Activated Delta Compression.
Cameron Gordon, Yiping Ji, Hemanth Saratchandran, Paul Albert, Simon Lucey
2026Single-Stage fMRI-to-3D Reconstruction via Viewpoint-Aware Embedding and Hierarchical Guidance.
Xun Zhang, Weihao Xia, Yulong Liu, Bo Yang, Alessandro Bozzon, Pan Wang
2026Situating Youth Agency in Designing AI & Art Policies.
Safinah Ali, Ayat Abodayeh, Vishesh Kumar, Cynthia Breazeal
2026Skeletons Speak Louder than Text: A Motion-Aware Pretraining Paradigm for Video-Based Person Re-Identification.
Rifen Lin, Alex Jinpeng Wang, Jiawei Mo, Min Li
2026Sketch-Guided Anime Hair Editing Using Multimodal Diffusion Transformer (Student Abstract).
Tianyu Zhang, I-Chao Shen, Haoran Xie
2026Skill Path: Unveiling Language Skills from Circuit Graphs.
Hang Chen, Xinyu Yang, Jiaying Zhu, Wenya Wang
2026SkillGen: Learning Domain Skills for In-Context Sequential Decision Making.
Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao
2026SkipCat: Rank-Maximized Low-Rank Compression of Large Language Models via Shared Projection and Block Skipping.
Yu-Chen Lu, Sheng-Feng Yu, Hui-Hsien Weng, Pei-Shuo Wang, Yu-Fang Hu, Liang Hung-Chun, Hung-Yueh Chiang, Kai-Chiang Wu
2026SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts.
Jiaqi Liu, Ronghao Fu, Lang Sun, Haoran Liu, Xiao Yang, Weipeng Zhang, Xu Na, Zhuoran Duan, Bo Yang
2026SkySplat: Generalizable 3D Gaussian Splatting from Multi-Temporal Sparse Satellite Images.
Xuejun Huang, Xinyi Liu, Yi Wan, Zhi Zheng, Bin Zhang, Mingtao Xiong, Yingying Pei, Yongjun Zhang
2026Sleep-Like Replay Reduces Loss-Landscape Sharpness to Improve Generalization (Student Abstract).
Krishi Chawda, Jean Erik Delanois, Giri P. Krishnan, Maksim Bazhenov
2026Slender3D: Curve-Guided Multi-View Reconstruction of Slender Structures.
Suqin Wang, Zeyi Wang, Min Shi, Zhaoxin Li, Qi Wang, Xiujuan Chai, Dengming Zhu
2026SlideBot: A Multi-Agent Framework for Generating Informative, Reliable, Multi-Modal Presentations.
Eric Xie, Danielle Waterfield, Michael Kennedy, Aidong Zhang
2026SlideTailor: Personalized Presentation Slide Generation for Scientific Papers.
Wenzheng Zeng, Mingyu Ouyang, Langyuan Cui, Hwee Tou Ng
2026Sliding-Window Merging for Compacting Patch-Redundant Layers in LLMs.
Xuan Ding, Rui Sun, Yunjian Zhang, Xiu Yan, Yueqi Zhou, Kaihao Huang, Suzhong Fu, Angelica I. Avilés-Rivero, Chuanlong Xie, Yao Zhu
2026SlimInfer: Accelerating Long-Context LLM Inference via Dynamic Token Pruning.
Lingkun Long, Rubing Yang, Yushi Huang, Desheng Hui, Ao Zhou, Jianlei Yang
2026Small Models Exhibit Limited Answer Consistency in Repetition Trials of the Multiple-Choice MMLU-Redux and MedQA Benchmarks.
Claudio S. Pinhanez, Paulo R. Cavalin, Cassia Sampaio Sanctos, Marcelo Carpinette Grave
2026Small but Mighty: Dynamic Wavelet Expert-Guided Fine-Tuning of Large-Scale Models for Optical Remote Sensing Object Segmentation.
Yanguang Sun, Chao Wang, Jian Yang, Lei Luo
2026SmartAgent: Chain-of-User-Thought for Embodied Personalized Agent in Cyber World.
Jiaqi Zhang, Chen Gao, Liyuan Zhang, Quoc Viet Hung Nguyen, Hongzhi Yin
2026SmartEyes: Plug-and-Play Event Detection for Retail Loss Prevention.
Pi-Wei Chen, Jerry Chun-Wei Lin, Baris Fahri Kahriman, Zih-Ching Chen, Rafal Cupek, Marek Drewniak
2026SmartSight: Mitigating Hallucination in Video-LLMs Without Compromising Video Understanding via Temporal Attention Collapse.
Yiming Sun, Mi Zhang, Feifei Li, Geng Hong, Min Yang
2026SmartSplat: Feature-Smart Gaussians for Scalable Compression of Ultra-High-Resolution Images.
Linfei Li, Lin Zhang, Zhong Wang, Ying Shen
2026SoMe: A Realistic Benchmark for LLM-based Social Media Agents.
Dizhan Xue, Jing Cui, Shengsheng Qian, Chuanrui Hu, Changsheng Xu
2026Social Behavior as a Key to Learning-Based Multi-Agent Pathfinding Dilemmas (Abstract Reprint).
Chengyang He, Tanishq Duhan, Parth Tulsyan, Patrick Kim, Guillaume Sartoretti
2026Social Influence-Based Mutual Acknowledgement Token Exchange (Student Abstract).
Shoma Mizuno, Keiichi Namikoshi, Yuko Sakurai
2026Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-Based Test Oracles.
Zihao Xu, Junchen Ding, Yiling Lou, Kun Zhang, Dong Gong, Yuekang Li
2026Soft Conflict-Resolution Decision Transformer for Offline Multi-Task Reinforcement Learning.
Shudong Wang, Xinfei Wang, Chenhao Zhang, Shanchen Pang, Haiyuan Gui, Wenhao Ji, Xiaojian Liao
2026Sonic4D: Spatial Audio Generation for Immersive 4D Scene Exploration.
Siyi Xie, Hanxin Zhu, Xinyi Chen, Tianyu He, Xin Li, Zhibo Chen
2026Sonnet: Spectral Operator Neural Network for Multivariable Time Series Forecasting.
Yuxuan Shu, Vasileios Lampos
2026Sortblock: Similarity-Aware Feature Reuse for Diffusion Model.
Hanqi Chen, Xu Zhang, Xiaoliu Guan, Lielin Jiang, Guanzhong Wang, Zeyu Chen, Yi Liu
2026Sound-AI: A Pedagogical Tool for Exploring AI in Audio and Bioacoustic Research.
Muhammad Azeem, Hoang D. Nguyen, Rosane Minghim
2026Source-Free Graph Foundation Model Adaptation via Pseudo-Source Reconstruction.
Liang Yang, Hui Ning, Jiaming Zhuo, Ziyi Ma, Chuan Wang, Wenning Wu, Zhen Wang
2026SpaCRD: Multimodal Deep Fusion of Histology and Spatial Transcriptomics for Cancer Region Detection.
Shuailin Xue, Jun Wan, Lihua Zhang, Wenwen Min
2026Space Alignment Matters: The Missing Piece for Inducing Neural Collapse in Long-Tailed Learning.
Jinping Wang, Zhiqiang Gao, Zhiwu Xie
2026SpaceVLLM: Endowing Multimodal Large Language Model with Spatio-Temporal Video Grounding Capability.
Jiankang Wang, Zhihan Zhang, Zhihang Liu, Yang Li, Jiannan Ge, Hongtao Xie, Yongdong Zhang
2026SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning.
Huanxuan Liao, Yixing Xu, Shizhu He, Guanchen Li, Xuanwu Yin, Dong Li, Emad Barsoum, Jun Zhao, Kang Liu
2026Sparse Additive Model Pruning for Order-Based Causal Structure Learning.
Kentaro Kanamori, Hirofumi Suzuki, Takuya Takagi
2026Sparse Attention Across Multiple-Context KV Cache.
Ziyi Cao, Qingyi Si, Jingbin Zhang, Bingquan Liu
2026Sparse Poisson Gamma Belief Networks for High-Dimensional Sparse Count Data.
Rui Huang, Dian Meng, Xun Zhou, Sikun Yang
2026Sparse Tuning Enhances Plasticity in PTM-based Continual Learning.
Huan Zhang, Shenghua Fan, Shuyu Dong, Yujin Zheng, Dingwen Wang, Fan Lyu
2026Sparse-Scale Transformer with Bidirectional Awareness for Time Series Forecasting.
Ying Liu, Bo Liu, Sheng Huang, Gang Luo, Wenbo Hu, Meng Wang, Richang Hong
2026Sparse-dLLM: Accelerating Diffusion LLMs with Dynamic Cache Eviction.
Yuerong Song, Xiaoran Liu, Ruixiao Li, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Ziwei He, Xipeng Qiu
2026Sparse-vDiT: Unleashing the Power of Sparse Attention to Accelerate Video Diffusion Transformers.
Pengtao Chen, Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Wei Cheng, Gang Yu, Tao Chen
2026Sparse3DPR: Training-Free 3D Hierarchical Scene Parsing and Task-Adaptive Subgraph Reasoning from Sparse RGB Views.
Haida Feng, Hao Wei, Zewen Xu, Haolin Wang, Chade Li, Yihong Wu
2026Sparse4DGS: 4D Gaussian Splatting for Sparse-Frame Dynamic Scene Reconstruction.
Changyue Shi, Chuxiao Yang, Xinyuan Hu, Minghao Chen, Wenwen Pan, Yan Yang, Jiajun Ding, Zhou Yu, Jun Yu
2026SparseCoop: Cooperative Perception with Kinematic-Grounded Queries.
Jiahao Wang, Zhongwei Jiang, Wenchao Sun, Jiaru Zhong, Haibao Yu, Yuner Zhang, Chenyang Lu, Chuang Zhang, Lei He, Shaobing Xu, Jianqiang Wang
2026SparseRM: A Lightweight Preference Modeling with Sparse Autoencoder.
Dengcan Liu, Jiahao Li, Zheren Fu, Yi Tu, Jiajun Li, Zhendong Mao, Yongdong Zhang
2026SparseSurf: Sparse-View 3D Gaussian Splatting for Surface Reconstruction.
Meiying Gu, Jiawei Zhang, Jiahe Li, Xiaohan Yu, Haonan Luo, Jin Zheng, Xiao Bai
2026SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries.
Chenxu Dang, Haiyan Liu, Jason Bao, Pei An, Xinyue Tang, An Pan, Jie Ma, Bingchuan Sun, Yan Wang
2026Spatial Branch-and-Bound for Computing Multiplayer Nash Equilibrium.
Jakub Cerný, Shuvomoy Das Gupta, Christian Kroer
2026Spatial Graph Attention Network Modeling for Neighborhood-Scale Lead Contamination Risk Prediction Using Publicly Available Data.
Raphael Anaadumba, Nazim A. Belabbaci, Connor Sullivan, Anton Kovalev, Yidong Zhu, Pradeep Kurup, Mohammad Arif Ul Alam
2026Spatial-Frequency Spiking Neural Network for Underwater Object Detection.
Long Chen, Wei Miao, Xin Gao, Yunzhi Zhuge, Hongming Xu, Yaxin Li, Qi Xu
2026Spatial-Spectral Homogeneous Attacks on Physical-World Large Vision-Language Models.
Daizong Liu, Baoquan Chen, Wei Hu
2026Spatial-Temporal Feedback Diffusion Guidance for Controlled Traffic Imputation.
Xiaowei Mao, Huihu Ding, Yan Lin, Tingrui Wu, Shengnan Guo, Dazhuo Qiu, Feiling Fang, Jilin Hu, Huaiyu Wan
2026SpatialActor: Exploring Disentangled Spatial Representations for Robust Robotic Manipulation.
Hao Shi, Bin Xie, Yingfei Liu, Yang Yue, Tiancai Wang, Haoqiang Fan, Xiangyu Zhang, Gao Huang
2026SpatialLogic-Bench: A Diagnostic Benchmark for Task-Oriented Spatiotemporal Reasoning.
Xiaoda Yang, Shenzhou Gao, Can Wang, Jiahe Zhang, Menglan Tang, Jingyang Xue, Sheng Liu, Peijian Zhang, Yao Mu, Xiangyu Yue
2026Spatially Grouped Curriculum Learning for Multi-Agent Path Finding.
Thomy Phan, Sven Koenig
2026Spatially-Guided Self-Attention Refinement for Zero-Shot Hair Segmentation (Student Abstract).
Suin Kim, Jihoon Lee, Moonsung Kang, Doheun Cha, Sangtae Ahn
2026Spatio-Temporal Context Learning with Temporal Difference Convolution for Moving Infrared Small Target Detection.
Houzhang Fang, Shukai Guo, Qiuhuan Chen, Yi Chang, Luxin Yan
2026Spatio-Temporal Distortion Aware Omnidirectional Video Super-Resolution.
Hongyu An, Xinfeng Zhang, Shijie Zhao, Li Zhang, Ruiqin Xiong
2026Spatio-Temporal Hierarchical Causal Models.
Xintong Li, Haoran Zhang, Xiao Zhou
2026SpatioTemporal Difference Network for Video Depth Super-Resolution.
Zhengxue Wang, Yuan Wu, Xiang Li, Zhiqiang Yan, Jian Yang
2026Spatiotemporal Transformers with Multiple Instance Learning for Label-Efficient Behavioral Analysis in Autism (Student Abstract).
Emily Yu
2026Spatiotemporal-Untrammelled Mixture of Experts for Multi-Person Motion Prediction.
Zheng Yin, Chengjian Li, Xiangbo Shu, Meiqi Cao, Rui Yan, Jinhui Tang
2026Speaker Anonymization for Children's Oral Reading Assessment.
Sandipan Dhar, Srikanth Raj Chetupalli, Preeti Rao
2026SpeakerLM: End-to-End Versatile Speaker Diarization and Recognition with Multimodal Large Language Models.
Han Yin, Yafeng Chen, Chong Deng, Luyao Cheng, Hui Wang, Chao-Hong Tan, Qian Chen, Wen Wang, Xiangang Li
2026SpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis.
Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin, Xuying Meng, Yujun Zhang
2026SpecDiff: Accelerating Diffusion Model Inference with Self-Speculation.
Jiayi Pan, Jiaming Xu, Yongkang Zhou, Guohao Dai
2026SpecQuant: Spectral Decomposition and Adaptive Truncation for Ultra-Low-Bit LLMs Quantization.
Zhixiong Zhao, Fangxin Liu, Junjie Wang, Chenyang Guan, Zongwu Wang, Li Jiang, Haibing Guan
2026Specification-Guided Reinforcement Learning.
Tanmay Ambadkar
2026Spectral Basis Learning for Expressive Graph Neural Networks in Link Prediction.
Niloofar Azizi, Nils M. Kriege, Nicholas J. A. Harvey, Horst Bischof
2026Spectral Property-Driven Data Augmentation for Hyperspectral Single-Source Domain Generalization.
Taiqin Chen, Yifeng Wang, Xiaochen Feng, Zhilin Zhu, Hao Sha, Yingjian Li, Yongbing Zhang
2026Spectrally Adaptive Channel-aware Unrolling Network for Compressed Sensing.
Xiaoyang Wang, Hongping Gan
2026Speech Recognition Model Improves Text-to-Speech Synthesis Using Fine-Grained Reward.
Guansu Wang, Peijie Sun
2026Speech-Aware Long Context Pruning and Integration for Contextualized Automatic Speech Recognition.
Yiming Rong, Yixin Zhang, Ziyi Wang, Deyang Jiang, Yunlong Zhao, Haoran Wu, Shiyu Zhou, Bo Xu
2026SphereDiff: Tuning-free 360° Static and Dynamic Panorama Generation via Spherical Latent Representation.
Minho Park, Taewoong Kang, Jooyeol Yun, Sungwon Hwang, Jaegul Choo
2026Spherical Geometry Diffusion: Generating High-quality 3D Face Geometry via Sphere-anchored Representations.
Junyi Zhang, Yiming Wang, Yunhong Lu, Qichao Wang, Wenzhe Qian, Xiaoyin Xu, David Gu, Min Zhang
2026SpiderGen: Towards Procedure Generation for Carbon Life Cycle Assessments with Generative AI.
Anupama Sitaraman, Bharathan Balaji, Yuvraj Agarwal
2026SpikCommander: A High-performance Spiking Transformer with Multi-view Learning for Efficient Speech Command Recognition.
Jiaqi Wang, Liutao Yu, Xiongri Shen, Sihang Guo, Chenlin Zhou, Leilei Zhao, Yi Zhong, Zhiguo Zhang, Zhengyu Ma
2026Spike Imaging Velocimetry: Dense Motion Estimation of Fluids Using Spike Streams.
Yunzhong Zhang, You Zhou, Changqing Su, Zhen Cheng, Zhaofei Yu, Bo Xiong, Tiejun Huang, Xun Cao
2026Spike Stream Memory Transfer for Dynamic Scene Reconstruction.
Yanchen Dong, Ruiqin Xiong, Rui Zhao, Xinfeng Zhang, Tiejun Huang
2026Spiking Heterogeneous Graph Attention Networks.
Buqing Cao, Qian Peng, Xiang Xie, Liang Chen, Min Shi, Jianxun Liu
2026Spiking-Aided Neural Architecture for Efficient and Robust WiFi Sensing.
Yisha Lu, Liwen Jing, Jiangmao Zheng, Bowen Zhang
2026SpikingIR: A Novel Converted Spiking Neural Network for Efficient Image Restoration.
Yang Ouyang, Zihan Cheng, Xiaotong Luo, Guoqi Li, Yanyun Qu
2026Spikingformer: A Key Foundation Model for Spiking Neural Networks.
Chenlin Zhou, Liutao Yu, Zhaokun Zhou, Han Zhang, Jiaqi Wang, Huihui Zhou, Zhengyu Ma, Yonghong Tian
2026Splat-SAP: Feed-Forward Gaussian Splatting for Human-Centered Scene with Scale-Aware Point Map Reconstruction.
Boyao Zhou, Shunyuan Zheng, Zhanfeng Liao, Zihan Ma, Hanzhang Tu, Boning Liu, Yebin Liu
2026SplatSSC: Decoupled Depth-Guided Gaussian Splatting for Semantic Scene Completion.
Rui Qian, Haozhi Cao, Tianchen Deng, Shenghai Yuan, Lihua Xie
2026Splats in Splats: Robust and Effective 3D Steganography Towards Gaussian Splatting.
Yijia Guo, Wenkai Huang, Yang Li, Gaolei Li, Hang Zhang, Liwen Hu, Jianhua Li, Tiejun Huang, Lei Ma
2026Split-Layer: Enhancing Implicit Neural Representation by Maximizing the Dimensionality of Feature Space.
Zhicheng Cai, Hao Zhu, Linsen Chen, Qiu Shen, Xun Cao
2026Spontaneous Yet Predictable: Shapelet-Driven, Channel-Aware Intention Decoding from Multi-Region ECoG.
Keren Cao, Yuhang Tian, Kaizhong Zheng, Wei Xi, Xinjian Li, Liangjun Chen
2026Stability-Aware Reinforcement Learning for Robust Class Integration Test Order Generation.
Yanru Ding, Yanmei Zhang, Guan Yuan, Shujuan Jiang, Wei Dai, Luciano Baresi
2026Stabilizing Cross-Modal Bidirectional Attribution: Few-Shot Adversarial Prompt Tuning for Robust Vision-Language Models.
Jun Feng, Shuhong Wu, Hong Sun, Pengfei Zhang, Bocheng Ren, Shunli Zhang
2026Stabilizing Policy Gradient Methods via Reward Profiling.
Shihab Ahmed, El Houcine Bergou, Yue Wang, Aritra Dutta
2026Stabilizing Self-Consuming Diffusion Models with Latent Space Filtering.
Zhongteng Cai, Yaxuan Wang, Yang Liu, Xueru Zhang
2026Stabilizing Spiking Neurons Through Biologically Inspired Polarization.
Matthew Lai, Longbing Cao
2026Stable Voting and the Splitting of Cycles.
Wesley H. Holliday, Milan Mossé, Chase Norman, Eric Pacuit, Cynthia Wang
2026Stable and Adaptive Fusion for Multi-domain Multi-task Recommendation.
Ke Fei, Da Luo, Kangyi Lin, Zibin Zhang, Jingjing Li
2026Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts.
Xiangkai Zhu, Yeyu Yan, Saiqin Long, Chao Li, Guanwen Chen, Longsheng Su
2026Start Small, Think Big: Curriculum-based Relative Policy Optimization for Visual Grounding.
Qingyang Yan, Guangyao Chen, Yixiong Zou
2026State Mamba: Spatiotemporal EEG State-Space Model with Dynamic Brain Alignment for Cross-Subject Representation.
Weining Weng, Yang Gu, Yuan Ma, Yuchen Liu, Yingwei Zhang, Yiqiang Chen
2026State Proficiency-Based Adaptive Fine-Tuning for Offline-to-Online Reinforcement Learning.
Songlin Li, Wei Xiao, Hao Wu, Xiaodan Zhang, Daolong An, Shuai Lü
2026State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis.
Xin Sun, Heng Zhou, Yuhao Wu, Chao Li
2026State-Space Hierarchical Compression with Gated Attention and Learnable Sampling for Hour-Long Video Understanding in Large Multimodal Models.
Geewook Kim, Minjoon Seo
2026Stationary and Clustering Transformer Hashing for Cross-modal Retrieval.
Zhan Yang, Yiran Liu, Youyuan Huang, Yinan Li
2026Statistical Learning Theory for Distributional Classification.
Christian Fiedler
2026Statistically Robust Sparse High-order Interaction Model.
Diptesh Das, Ichiro Takeuchi, Koji Tsuda
2026SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing.
Xinlei Niu, Kin Wai Cheuk, Jing Zhang, Naoki Murata, Chieh-Hsin Lai, Michele Mancusi, Woosung Choi, Giorgio Fabbro, Wei-Hsiang Liao, Charles Patrick Martin, Yuki Mitsufuji
2026Steering One-Step Diffusion Model with Fidelity-Rich Decoder for Fast Image Compression.
Zheng Chen, Mingde Zhou, Jinpei Guo, Jiale Yuan, Yifei Ji, Yulun Zhang
2026Steering Pretrained Drafters During Speculative Decoding.
Frédéric Berdoz, Peer Rheinboldt, Roger Wattenhofer
2026Steering Representations, Safeguarding Privacy: A Cross-Modal Privacy Protection Method for Generative AI.
Jie Zhang, Chenxu Niu, Zhefeng Nan, Yangyan Xu, Jinta Weng
2026Steering Sparse Autoencoder Latents to Control Dynamic Head Pruning in Vision Transformers (Student Abstract).
Yousung Lee, Dongsoo Har
2026Steering Visuomotor Policy in Open Worlds via Cross-View Goal Alignment.
Shaofei Cai, Zhancun Mu, Anji Liu, Yitao Liang
2026StegaVAR: Privacy-Preserving Video Action Recognition via Steganographic Domain Analysis.
Lixin Chen, Chaomeng Chen, Jiale Zhou, Zhijian Wu, Xun Lin
2026Step Back to Leap Forward: Self-Backtracking for Symbolic Reasoning and Planning in Language Models.
Xiao-Wen Yang, Xuan-Yi Zhu, Dingchu Zhang, Wen-Da Wei, Jie-Jing Shao, Zhi Zhou, Lan-Zhe Guo, Yufeng Li
2026Step-GRPO: Enhancing Reasoning Quality and Efficiency via Structured PRM-Based Reinforcement Learning.
Weijie Li, Jin Wang, Liang-Chih Yu, Xuejie Zhang
2026Step-by-step Layered Design Generation.
Faizan Farooq Khan, K. J. Joseph, Koustava Goswami, Mohamed Elhoseiny, Balaji Vasan Srinivasan
2026StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion.
Yutong Wu, Di Huang, Ruosi Wan, Yue Peng, Shijie Shang, Chenrui Cao, Lei Qi, Rui Zhang, Xishan Zhang, Zidong Du, Jie Yang, Xing Hu
2026Stepwise Contrastive Reasoning for Retrieval-Augmented Generation over Knowledge Graphs.
Chenxiao Lin, Ye Luo, Kunhong Liu, Qingqiang Wu
2026Steve: Your Personal AI Career Coach.
Balaji Rao, Naveen Mathews Renji, Elena Korshakova, Carlo Lipizzi
2026Stochastic Decentralized Optimization of Non-Smooth Convex and Convex-Concave Problems over Time-Varying Networks.
Maxim Divilkovskiy, Alexander Gasnikov
2026Stochastic Universal Adversarial Perturbations with Fixed Optimization Constraint and Ensured High-probability Transferability.
Yulin Jin, Xiaoyu Zhang, Haoyu Tong, Jian Lou, Kai Wu, Haibo Hu, Xiaofeng Chen
2026Stop Mixing Things Up! BISCUIT Teaches Vision-Language Models to Learn New Concepts from Images on the Spot.
Jiahua Bao, Siyao Cheng, Jiaxing Du, Yuhang Jia, Boyang Niu, Zeming Lang, Changjiang He, Hao Zhang, Jie Liu
2026StoryBox: Collaborative Multi-Agent Simulation for Hybrid Bottom-Up Long-Form Story Generation Using Large Language Models.
Zehao Chen, Rong Pan, Haoran Li
2026Strategic Reasoning over Golog Programs in the Nondeterministic Situation Calculus.
Giuseppe De Giacomo, Yves Lespérance, Matteo Mancanelli
2026Strategic Tool Enhanced AI Agent for Multi-Issue Negotiation (Student Abstract).
Daiki Kitashima, Ryota Higa, Katsuhide Fujita
2026Stratified Knowledge-Density Super-Network for Scalable Vision Transformers.
Longhua Li, Lei Qi, Xin Geng
2026Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments.
Ziming Dai, Tuo Zhang, Fei Gao, Xingyi Cai, Xiaofei Wang, Cheng Zhang, Wenyu Wang, Chengjie Zang
2026StreamKV: Streaming Video Question-Answering with Segment-based KV Cache Retrieval and Compression.
Yilong Chen, Xiang Bai, Zhibin Wang, Chengyu Bai, Yuhan Dai, Ming Lu
2026StreamSTGS: Streaming Spatial and Temporal Gaussian Grids for Real-Time Free-Viewpoint Video.
Zhihui Ke, Yvyang Liu, Xiaobo Zhou, Tie Qiu
2026Streaming Generated Gaussian Process Experts for Online Learning and Control.
Zewen Yang, Dongfa Zhang, Xiaobing Dai, Fengyi Yu, Chi Zhang, Bingkun Huang, Hamid Sadeghian, Sami Haddadin
2026Streaming Generation of Co-Speech Gestures via Accelerated Rolling Diffusion.
Evgeniia Vu, Andrei Boiarov, Dmitry P. Vetrov
2026StreamingTalker: Audio-driven 3D Facial Animation with Autoregressive Diffusion Model.
Yifan Yang, Zhi Cen, Sida Peng, Xiangwei Chen, Yifu Deng, Xinyu Zhu, Fan Jia, Xiaowei Zhou, Hujun Bao
2026Strip R-CNN: Large Strip Convolution for Remote Sensing Object Detection.
Xinbin Yuan, Zhaohui Zheng, Yuxuan Li, Xialei Liu, Li Liu, Xiang Li, Qibin Hou, Ming-Ming Cheng
2026StrokeFusion: Vector Sketch Generation via Joint Stroke-UDF Encoding and Latent Sequence Diffusion.
Jin Zhou, Yi Zhou, Hongliang Yang, Pengfei Xu, Hui Huang
2026Structural Approach to Guiding a Present-Biased Agent.
Tatiana Belova, Yuriy Dementiev, Artur Ignatiev, Danil Sagunov
2026Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection.
Zhiwei Yang, Haimei Qin, Xiaoyan Yu, Hao Peng, Lei Jiang, Li Sun, Zhiqin Yang
2026Structure Detection for Contextual Reinforcement Learning.
Tianyue Zhou, Jung-Hoon Cho, Cathy Wu
2026Structure-Aware Encodings of Argumentation Properties for Clique-width.
Yasir Mahmood, Markus Hecher, Johanna Groven, Johannes Klaus Fichte
2026Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning.
Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He
2026Structure-based RNA Design by Step-wise Optimization of Latent Diffusion Model.
Qi Si, Xuyang Liu, Penglei Wang, Xin Guo, Yuan Qi, Yuan Cheng
2026Structures Meet Semantics: Multimodal Fusion via Graph Contrastive Learning.
Jiangfeng Sun, Sihao He, Zhonghong Ou, Meina Song
2026Studying Classifier(-Free) Guidance from a Classifier-Centric Perspective.
Xiaoming Zhao, Alex Schwing
2026Style-First Authorship Verification for Academic Integrity in the Generative AI Era (Student Abstract).
Jun Jang, Thai Le, Bo Wang
2026Style4D-Bench: A Benchmark Suite for 4D Stylization.
Beiqi Chen, Shuai Shao, Haitang Feng, Jianhuang Lai, Jianlou Si, Guangcong Wang
2026StyleBreak: Revealing Alignment Vulnerabilities in Large Audio-Language Models via Style-Aware Audio Jailbreak.
Hongyi Li, Chengxuan Zhou, Chu Wang, Sicheng Liang, Yanting Chen, Qinlin Xie, Jiawei Ye, Jie Wu
2026StyleDrive: Towards Driving-Style Aware Benchmarking of End-To-End Autonomous Driving.
Ruiyang Hao, Bowen Jing, Haibao Yu, Zaiqing Nie
2026StyleFM: Frequency Manipulation Empowered by Recursive Attention on Diffusion Models for Arbitrary Style Transfer.
Yingnan Ma, Zhenye Liu, Siying Liu, Anup Basu
2026StyleProto: Style-Augmented Prototype Learning for Cross-Domain Few-Shot Object Detection.
Xi Yang, Quantao Xie
2026StyleSentinel: Reliable Artistic Copyright Verification via Stylistic Fingerprints.
Lingxiao Chen, Liqin Wang, Wei Lu
2026StyleTailor: Towards Personalized Fashion Styling via Hierarchical Negative Feedback.
Hongbo Ma, Fei Shen, Hongbin Xu, Xiaoce Wang, Gang Xu, Jinkai Zheng, Liangqiong Qu, Ming Li
2026Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging.
Lujun Li, Qiyuan Zhu, Jiacheng Wang, Xiaoyu Qin, Wei Li, Hao Gu, Sirui Han, Yike Guo
2026SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache.
Qiuyu Zhu, Liang Zhang, Qianxiong Xu, Cheng Long, Jie Zhang
2026Subgraph Encoding with Bicentric Sphere Node Labeling and Pooling for Link Prediction.
Zhihong Fang, Shaolin Tan, Qiu Fang, Zhe Li, Qing Gao
2026Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models.
Haodong Li, Lianyong Qi, Weiming Liu, Fan Wang, Chong Li, Shengye Pang, Wenwen Gong, Yanwei Xu, Xiaoxiao Chi, Yang Zhang, Xiaokang Zhou
2026Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval.
Guanghao Meng, Jinpeng Wang, Jieming Zhu, Letian Zhang, Yong Jiang, Dan Zhao, Qing Li
2026Super Level Sets and Exponential Decay: A Synergistic Approach to Stable Neural Network Training (Abstract Reprint).
Jatin Kumar Chaudhary, Dipak Kumar Nidhi, Jukka Heikkonen, Harri Merisaari, Rajeev Kumar Kanth
2026Superior Runtime Guarantees for the MOEA/D Multi-Objective Optimizer via Weighted-Sum Decomposition.
Danyang Zhang, Zerong Zhong, Weijie Zheng, Benjamin Doerr
2026Supervised Dynamic Dimension Reduction with Deep Neural Network.
Zhanye Luo, Yuefeng Han, Xiufan Yu
2026SurgPub-Video: A Comprehensive Surgical Video Framework for Enhanced Surgical Intelligence in Vision-Language Model.
Yaoqian Li, Xikai Yang, Dunyuan Xu, Yang Yu, Litao Zhao, Xiaowei Hu, Jinpeng Li, Pheng-Ann Heng
2026Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning.
Jiayuan Huang, Runlong He, Danyal Z. Khan, Evangelos B. Mazomenos, Danail Stoyanov, Hani J. Marcus, Linzhe Jiang, Matthew John Clarkson, Mobarak I. Hoque
2026Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack.
Xingyu Peng, Ke Xu
2026SwiftVideo: A Unified Framework for Few-Step Video Generation Through Trajectory-Distribution Alignment.
Yanxiao Sun, Jiafu Wu, Yun Cao, Chengming Xu, Yabiao Wang, Weijian Cao, Donghao Luo, Chengjie Wang, Yanwei Fu
2026Syllogism-Inspired TableQA: Evidentialization Makes Decomposition Reasoning and Answer Verification More Reliable.
Zhe Zhang, Lili Bai, Chaopeng Guo, Jie Song
2026SymGS: Leveraging Reflective Symmetries for 3DGS Compression.
Keshav Gupta, Akshat Sanghvi, Shreyas Reddy Palley, Astitva Srivastava, Charu Sharma, Avinash Sharma
2026Symbolic Planning and Multi-Agent Path Finding in Extremely Dense Environments with Unassigned Agents.
Bo Fu, Zhe Chen, Rahul Chandan, Alexandre Ormiga Galvão Barbosa, Michael Caldara, Joey W. Durham, Federico Pecora
2026Symbolic Task Inference in Deep Reinforcement Learning (Abstract Reprint).
Hosein Hasanbeig, Natasha Yogananda Jeppu, Alessandro Abate, Tom Melham, Daniel Kroening
2026Symmetric Aggregation of Conformity Scores for Efficient Uncertainty Sets.
Nabil Alami, Jad Zakharia, Souhaib Ben Taieb
2026Symmetrical Flow Matching: Unified Image Generation, Segmentation, and Classification with Score-Based Generative Models.
Francisco Caetano, Christiaan G. A. Viviers, Peter H. N. de With, Fons van der Sommen
2026Symmetries and Other Variations of "End-Recursive" HTN Problems: Mapping the Border Between Decidable and Undecidable Restrictions.
Hadyn Tang, Pascal Bercher
2026Symmetry Breaking for Inductive Logic Programming.
Andrew Cropper, David M. Cerna, Matti Järvisalo
2026Symmetry-Aware Transformer Training for Automated Planning.
Markus Fritzsche, Elliot Gestrin, Jendrik Seipp
2026Symphony-MoE: Harmonizing Disparate Pre-trained Models into a Coherent Mixture-of-Experts.
Qi Wang, Hanyang Peng, Yue Yu
2026SynWeather: Weather Observation Data Synthesis Across Multiple Regions and Variables via a General Diffusion Transformer.
Kaiyi Xu, Junchao Gong, Zhiwang Zhou, Zhangrui Li, Yuandong Pu, Yihao Liu, Ben Fei, Fenghua Ling, Wenlong Zhang, Lei Bai
2026SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization.
Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu
2026SynerDetect: Hierarchical Synergistic Learning for Generalizable AI-Generated Image Detection.
Shuaibo Li, Yijun Yang, Zhaohu Xing, Hongqiu Wang, Pengfei Hao, Xingyu Li, Zekai Liu, Qing Zhang, Lei Zhu
2026Synergizing Multigrid Algorithms with Vision Transformer: A Novel Approach to Enhance the Seismic Foundation Model.
Huiwen Wu, Shuo Zhang, Yi Liu, Hongbin Ye
2026Synthetic Forgetting Without Access: A Few-Shot Zero-Glance Framework for Machine Unlearning.
Qipeng Song, Nan Yang, Ziqi Xu, Yue Li, Wei Shao, Feng Xia
2026Synthetic-to-Real Transfer Learning for League of Legends Minimap Object Detection (Student Abstract).
Younsung Lee, Yujin Kim, Kyung-Joong Kim
2026System L: Toward System 2-Style Legal Reasoning.
Chuanyi Li, Yi Feng, Vincent Ng
2026S²Drug: Bridging Protein Sequence and 3D Structure in Contrastive Representation Learning for Virtual Screening.
Bowei He, Bowen Gao, Yankai Chen, Yanyan Lan, Chen Ma, Philip S. Yu, Ya-Qin Zhang, Wei-Ying Ma
2026S²Flow: Towards Fast and Authentic Training-Free High-Resolution Video Generation.
Chaoqun Wang, Shaobo Min, Xu Yang
2026S²HyRec: Self-Supervised Hypergraph Sequential Recommendation.
Yuchen Liu, Kunyu Ni, Zhongying Zhao, Guoqing Chao, Yanwei Yu
2026S²Teacher: Step-by-step Teacher for Sparsely Annotated Oriented Object Detection.
Yu Lin, Jianghang Lin, Kai Ye, You Shen, Shengchuan Zhang, Liujuan Cao
2026S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection.
Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Guimin Hu, Hao Wu, Yuyan Chen, Bowen Xing, Xian Wu
2026S³: Spiking Neurons as an Isolating Segmenter for Brain Signal Decoding.
Qian Zheng, Ming Chen, Sha Zhao, Shi Gu, Peng Lin, De Ma, Huajin Tang, Gang Pan
2026T-APT: Text-Guided Modality-Aware Prompt Tuning for Arbitrary Multimodal Remote Sensing Data Joint Classification.
Qinghao Gao, Jiahui Qu, Wenqian Dong
2026T-GVC: Trajectory-Guided Generative Video Coding at Ultra-Low Bitrates.
Zhitao Wang, Hengyu Man, Wenrui Li, Xingtao Wang, Xiaopeng Fan, Debin Zhao
2026T-LoRA: Single Image Diffusion Model Customization Without Overfitting.
Vera Soboleva, Aibek Alanov, Andrey Kuznetsov, Konstantin Sobolev
2026T-Retriever: Tree-based Hierarchical Retrieval Augmented Generation for Textual Graphs.
Chunyu Wei, Huaiyu Qin, Siyuan He, Yunhai Wang, Yueguo Chen
2026T-Rex-Omni: Integrating Negative Visual Prompt in Generic Object Detection.
Jiazhou Zhou, Qing Jiang, Kanghao Chen, Lutao Jiang, Yuanhuiyi Lyu, Ying-Cong Chen, Lei Zhang
2026T-SKM-Net: Trainable Neural Network Framework for Linear Constraint Satisfaction via Sampling Kaczmarz-Motzkin Method.
Haoyu Zhu, Yao Zhang, Jiashen Ren, Qingchun Hou
2026T2Agent: A Tool-augmented Multimodal Misinformation Detection Agent with Monte Carlo Tree Search.
Xing Cui, Yueying Zou, Zekun Li, Peipei Li, Xinyuan Xu, Xuannan Liu, Huaibo Huang
2026T2I-RiskyPrompt: A Benchmark for Safety Evaluation, Attack, and Defense on Text-to-Image Model.
Chenyu Zhang, Tairen Zhang, Lanjun Wang, Ruidong Chen, Wenhui Li, Anan Liu
2026T3Time: Tri-Modal Time Series Forecasting via Adaptive Multi-Head Alignment and Residual Fusion.
Abdul Monaf Chowdhury, Rabeya Akter, Safaeid Hossain Arib
2026T3former: Temporal Graph Classification with Topological Machine Learning.
Md Joshem Uddin, Soham Changani, Baris Coskunuzer
2026T4NMTD: Transition-Centric Reinforcement Learning for Non-Markovian Task Decomposition.
Ruixuan Miao, Xu Lu, Cong Tian, Bin Yu, Zhenhua Duan
2026TAPO: Dynamic Teacher and Perturbed Answer Injection for Policy Optimization.
Maowei Jiang, Zihang Wang, Qi Wang, Peter Bús, Moquan Chen, Yifan Wang, Quangao Liu, Ruiqi Li, Pengyu Zeng, Ruikai Liu, Alan Liang, Yansong Xu, Yusong Hu, Chaoran Zhang, Zhiyong Dong
2026TARA: Token-Aware LoRA for Composable Personalization in Diffusion Models.
Yuqi Peng, Lingtao Zheng, Yufeng Yang, Yi Huang, Mingfu Yan, Jianzhuang Liu, Shifeng Chen
2026TASE: Token Awareness and Structured Evaluation for Multilingual Language Models.
Chenzhuo Zhao, Xinda Wang, Yue Huang, Junting Lu, Ziqian Liu
2026TAdaRAG: Task Adaptive Retrieval-Augmented Generation via On-the-Fly Knowledge Graph Construction.
Jie Zhang, Bo Tang, Wanzi Shao, Wenqiang Wei, Jihao Zhao, Jianqing Zhu, Zhiyu Li, Wen Xi, Zehao Lin, Feiyu Xiong, Yanchao Tan
2026TCoT: Trajectory Chain-of-Thoughts for Robotic Manipulation with Failure Recovery in Vision-Language-Action Model.
Xiang Li, Ya-li Li, Yuan Wang, Huaqiang Wang, Shengjin Wang
2026TDSNNs: Competitive Topographic Deep Spiking Neural Networks for Visual Cortex Modeling.
Deming Zhou, Yuetong Fang, Zhaorui Wang, Renjing Xu
2026TDSS: Task Dynamic-Synergistic Skill Adaptation for Boosting Efficient and Scalable Multi-Task Learning in Dense Visual Prediction.
Haiming Yao, Qiyu Chen, Wei Luo, Zheng Zhang, Jianxing Liao, Wei You
2026TEMPLE: Incentivizing Temporal Understanding of Video Large Language Models via Progressive Pre-SFT Alignment.
Shicheng Li, Lei Li, Kun Ouyang, Shuhuai Ren, Yuanxin Liu, Yuanxing Zhang, Fuzheng Zhang, Lingpeng Kong, Qi Liu, Xu Sun
2026TFD-Net: Towards Intelligent Time-Frequency Mode Decomposition with Practical Applications.
Pingping Pan, Yunjian Zhang, Jinyi Liu
2026TFRank: Think-Free Reasoning Enables Practical Pointwise LLM Ranking.
Yongqi Fan, Xiaoyang Chen, Dezhi Ye, Jie Liu, Haijin Liang, Jin Ma, Ben He, Yingfei Sun, Tong Ruan
2026TG-Field: Geometry-Aware Radiative Gaussian Fields for Tomographic Reconstruction.
Yuxiang Zhong, Jun Wei, Chaoqi Chen, Senyou An, Hui Huang
2026TGCA-LLM: Time-Aware Graph-Text Contrastive Alignment for Enhancing LLMs in Temporal Knowledge Graph Completion.
Zexuan Wan, Bo Wang, Kuofei Fang, Bin Wu
2026TGCD: A Framework for Generalized Category Discovery in Time-Series Data.
Chandan Gautam, Lew Choon Hean, Ankit Das, Xiaoli Li, Savitha Ramasamy
2026TGDD: Trajectory Guided Dataset Distillation with Balanced Distribution.
Fengli Ran, Xiao Pu, Bo Liu, Xiuli Bi, Bin Xiao
2026THGB: A Comprehensive Benchmark for Text-attributed Heterogeneous Graphs.
Lixin Zhou, Zemin Liu, Yuan Fang, Dan Niu, Jing Ying
2026TIDE: Temporal-Aware Sparse Autoencoders for Interpretable Diffusion Transformers in Image Generation.
Victor Shea-Jay Huang, Le Zhuo, Yi Xin, Zhaokai Wang, Fu-Yun Wang, Yuchi Wang, Renrui Zhang, Peng Gao, Hongsheng Li
2026TIM++: Transductive Information Maximization for Few-Shot CLIP.
Yingping Li, Yutong Zou, Yunshi Huang, Changzhe Jiao, Xinlin Wang, Shen Peng, Zhang Guo, Shuiping Gou
2026TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability.
Fengji Ma, Hei Victor Cheng, Chenxing Li, Li Liu
2026TIME: Temporal-Sensitive Multi-Dimensional Instruction Tuning and Robust Benchmarking for Video-LLMs.
Yunxiao Wang, Meng Liu, Wenqi Liu, Xuemeng Song, Bin Wen, Fan Yang, Tingting Gao, Di Zhang, Guorui Zhou, Liqiang Nie
2026TIV: Thought Injection via Vectors for Efficient Reasoning in Large Reasoning Models.
Yi Cao, Weijie Shi, Wei-Jie Xu, Yucheng Shen, Yue Cui, Hanghui Guo, Shimin Di, Ziyi Liu, Jiaming Li, Alexander Zhou, Jia Zhu, Jiajie Xu
2026TLAGC: Taylor Linear Attention-Guided Graph Convolutions for Revealing Spatial Domains in Spatial Multi-Omics Data.
Aoyun Geng, Chunyan Cui, Yunyun Su, Zhenjie Luo, Feifei Cui, Zilong Zhang
2026TMAE: Learning Targeted Multi-Agent Exploration via Causal Inference.
Chuxiong Sun, Dunqi Yao, Rui Wang, Wenwen Qiang, Changwen Zheng, Jiangmeng Li
2026TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities.
Yan Zhuang, Minhao Liu, Yanru Zhang, Jiawen Deng, Fuji Ren
2026TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference.
Yulin Dou, Jiangming Liu
2026TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models.
Li Zhang, Zhongxuan Han, Xiaohua Feng, Jiaming Zhang, Yuyuan Li, Linbo Jiang, Jianan Lin, Chaochao Chen
2026TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models.
Hengyi Wang, Weiying Xie, Hui Jiang, Yaotao Wei, Kai Jiang, Mingxiang Cao, Chenhe Hao, Leyuan Fang
2026TOPOGRAPH: Topology-Preserving Graph Reduction with Adaptive Structure for Persistent Homology.
Zonghao Chen, Yuncheng Jiang, Gang Li
2026TORA: Train Once, Realign Anytime for Offline Multi-Objective Reinforcement Learning.
Weichen Li, Waleed Mustafa, Marcio Monteiro, Puyu Wang, Marius Kloft, Sophie Fellenz
2026TOSC: Task-Oriented Shape Completion for Open-World Dexterous Grasp Generation from Partial Point Clouds.
Weishang Wu, Yifei Shi, Zhiping Cai
2026TPR: A Training Procedure Representation to Augment XR Simulations with LLMs.
Michael Guevarra, Christabel Wayllace, Srijita Das, Carrie Demmans Epp, Alan Tay
2026TR-DQ: Time-Rotation Diffusion Quantization.
Yihua Shao, Deyang Lin, Minxi Yan, Siyu Chen, Fanhu Zeng, Minwen Liao, Ao Ma, Ziyang Yan, Haozhe Wang, Yan Wang, Zhi Chen, Xiaofeng Cao, Haotong Qin, Hao Tang, Jingcai Guo
2026TRACE: A Generalizable Drift Detector for Streaming Data-Driven Optimization.
Yuanting Zhong, Ting Huang, Xiaolin Xiao, Yue-Jiao Gong
2026TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection.
Girish A. Koushik, Helen Treharne, Aditya Joshi, Diptesh Kanojia
2026TRACE: Trajectory-based Activation Change Estimation for Task-specific Data Selection.
Ye He, Shangzhan Li, Yuxin Zhou, Qi Shi
2026TRACE: Transformation-Aware Graph Refinement for Reaction Condition Prediction.
Yujie Chen, Tengfei Ma, Yuansheng Liu, Leyi Wei, Shu Wu, Dongsheng Cao, Yiping Liu, Xiangxiang Zeng
2026TRIPLE: Theory-Driven Integration of Planned and Habitual Behaviors for LLM-based Personalization.
Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han
2026TRT: Harnessing Tensor Ring Transformer for Hyperspectral Image Super-Resolution.
Honghui Xu, Junwei Zhu, Yubin Gu, Yueqian Quan, Chuangjie Fang, Hong Qiu, Jianwei Zheng
2026TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation.
Mattia Litrico, Mario Valerio Giuffrida, Sebastiano Battiato, Devis Tuia
2026TRUST: Transaction Risk via Unified Sequence and Topology.
Rithvik Y., Bhavuk Singhal, Shubham Jain, Akshat Garg, Karan Tanwar, Anshu Aditya, Debashis Mukherjee, Debdoot Mukherjee
2026TSBOW - Traffic Surveillance Benchmark for Occluded Vehicles Under Various Weather Conditions.
Ngoc Doan-Minh Huynh, Duong Nguyen-Ngoc Tran, Long Hoang Pham, Tai Huu-Phuong Tran, Hyung-Joon Jeon, Huy-Hung Nguyen, Duong Khac Vu, Hyung-Min Jeon, Son Hong Phan, Quoc Pham-Nam Ho, Chi Dai Tran, Trinh Le Ba Khanh, Jae Wook Jeon
2026TSGDiff: Rethinking Synthetic Time Series Generation from a Pure Graph Perspective.
Lifeng Shen, Xuyang Li, Lele Long
2026TSPE-GS: Probabilistic Depth Extraction for Semi-Transparent Surface Reconstruction via 3D Gaussian Splatting.
Zhiyuan Xu, Nan Min, Yuhang Guo, Tong Wei
2026TSPO: Temporal Sampling Policy Optimization for Long-form Video Language Understanding.
Canhui Tang, Zifan Han, Hongbo Sun, Sanping Zhou, Xuchong Zhang, Xin Wei, Ye Yuan, Huayu Zhang, Jinglin Xu, Hao Sun
2026TTA-Bench: A Comprehensive Benchmark for Evaluating Text-to-Audio Models.
Hui Wang, Cheng Liu, Junyang Chen, Haoze Liu, Yuhang Jia, Shiwan Zhao, Jiaming Zhou, Haoqin Sun, Hui Bu, Yong Qin
2026TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models.
Chenghao Liu, Jiachen Zhang, Chengxuan Li, Zhimu Zhou, Shixin Wu, Songfang Huang, Huiling Duan
2026TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin.
Yibing Wan, Zhengxiong Guan, Chaoli Zhang, Xiaoyang Li, Lai Xu, Beibei Jia, Zhenzhe Zheng, Fan Wu
2026TTVAE: Transformer-Based Generative Modeling for Tabular Data Generation (Abstract Reprint).
Alex X. Wang, Binh P. Nguyen
2026TVChain: Leveraging Textual-Visual Prompt Chains for Jailbreaking Large Vision-Language Models.
Hao Yu, Ke Liang, Junxian Duan, Jun Wang, Siwei Wang, Chuan Ma, Xinwang Liu
2026TW-CRL: Time-Weighted Contrastive Reward Learning for Efficient Inverse Reinforcement Learning.
Yuxuan Li, Yicheng Gao, Ning Yang, Stephen Xia
2026TWINFUZZ: Dual-Model Fuzzing for Robustness Generalization in Deep Learning.
Enze Dai, Wentao Mo, Kun Hu, Xiaogang Zhu, Xi Xiao, Sheng Wen, Shaohua Wang, Yang Xiang
2026TWiST: Temporal Weakly-Supervised Triplets Recognition in Surgical Videos (Student Abstract).
Pranshu Danani, Yash Bansal, Parshiv Kapoor
2026TaREx: Reinforcement Learning for Code-Driven Table Reasoning.
Fangyu Lei, Jinxiang Meng, Yiming Huang, Shizhu He, Jun Zhao, Kang Liu
2026Tab-PET: Graph-Based Positional Encodings for Tabular Transformers.
Yunze Leng, Rohan Ghosh, Mehul Motani
2026TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing.
Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2026TabGeoFlow: A Geometric Flow Matching Model for Tabular Data Synthesis.
Jong In Choi
2026Tabular Learnwares Can Be Repurposed for Seemingly Irrelevant New Tasks.
Peng Tan, Feifan Yang, Zhi-Hao Tan, Zhi-Hua Zhou
2026Tackling Dual-stage Missing Modalities in Brain Tumor Segmentation via Robust Modality Reconstruction and Prompt-guided Modality Adaptation.
Yunpeng Zhao, Cheng Chen, Qing You Pang, Yibing Fu, Quanzheng Li, Carol Tang, Beng-Ti Ang, Yueming Jin
2026Tackling Resource-Constrained and Data-Heterogeneity in Federated Learning with Double-Weight Sparse Pack.
Qiantao Yang, Liquan Chen, Mingfu Xue, Songze Li
2026TacpAgent: Enhancing Student Engagement in Classroom Exercises Through LLM-Generated Feedback.
Wanlu Zhang, Jia Zhu, Xi Yang, Weijie Shi, Yue Cui, Xinle Dai, Jiewen Sun
2026TactGen: Tactile Sensory Data Generation via Zero-Shot Sim-to-Real Transfer (Abstract Reprint).
Shaohong Zhong, Alessandro Albini, Perla Maiolino, Ingmar Posner
2026Tailored ViT Slimming: Budget-Aware Multi-Dimensional Sparsity Regularization for Vision Transformers Pruning (Student Abstract).
Suwoong Lee, Seungjae Lee, Yunho Jeon, Junmo Kim
2026Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances.
Rishu Kumar Singh, Navneet Shreya, Sarmistha Das, Apoorva Singh, Sriparna Saha
2026Talk2Code: A Multi-Turn Interaction Benchmark with Dual-Track Evaluation for Code Generation.
Weibin Yang, Liangru Xie, Jieyun Cai, Yuxiang Yan, Hong-Ning Dai, Hao Wang
2026Talk2Image: A Multi-Agent System for Multi-Turn Image Generation and Editing.
Shichao Ma, Yunhe Guo, Jiahao Su, Qihe Huang, Zhengyang Zhou, Yang Wang
2026Talking Trails: LLM-Enhanced Spatiotemporal Trajectory Modeling for E-Bike Delivery Route Planning.
Zhao Li, Mingwu Liu, Xu-Hua Yang, Haipeng Dai, Ji Zhang, Yangbohan Jiao
2026Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting.
Xiangxiang Gao, Weisheng Xie, Lixin, Xuwei Fang, Chen Hang, Changqun Li, Yuhan Lin, Xiaolong Xu
2026Taming Cascaded Mixture-of-Experts for Modality-missing Multi-modal Salient Object Detection.
Kunpeng Wang, Feifan Sun, Keke Chen
2026Taming the Phantom: Token-Asymmetric Filtering for Hallucination Mitigation in Large Vision-Language Models.
Shuyi Ouyang, Hongyi Wang, Gongfan Fang, Xinyin Ma, Lanfen Lin, Xinchao Wang
2026Tapas Are Free! Training-Free Adaptation of Programmatic Agents via LLM-Guided Program Synthesis in Dynamic Environments.
Jinwei Hu, Yi Dong, Youcheng Sun, Xiaowei Huang
2026TarPro: Targeted Protection Against Malicious Image Editing.
Kaixin Shen, Ruijie Quan, Jiaxu Miao, Jun Xiao
2026Target Refocusing via Attention Redistribution for Open-Vocabulary Semantic Segmentation: An Explainability Perspective.
Jiahao Li, Yang Lu, Yachao Zhang, Yong Xie, Fangyong Wang, Yuan Xie, Yanyun Qu
2026Target-Balanced Score Distillation.
Zhou Xu, Qi Wang, Yuxiao Yang, Luyuan Zhang, Zhang Liang, Yang Li
2026TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos.
Lingru Zhou, Peng Wu, Manqing Zhang, Qingsheng Wang, Guansong Pang, Peng Wang
2026Targeted Data Protection for Diffusion Model by Matching Training Trajectory.
Hojun Lee, Mijin Koo, Yeji Song, Nojun Kwak
2026Targeted Pathway Inference for Biological Knowledge Bases via Graph Learning and Explanation.
Rikuto Kotoge, Ziwei Yang, Zheng Chen, Yushun Dong, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai
2026Targeting Borderline Fraudsters: Multi-View Hypergraph Fraud Detection with LLM-Guided Contrastive Learning.
Rui Ou, Kun Zhu, Nana Zhang, Jiangtong Li, Chaochao Chen, Yuhua Xu, Changjun Jiang
2026Targeting Misalignment: A Conflict-Aware Framework for Reward-Model-based LLM Alignment.
Zixuan Liu, Siavash H. Khajavi, Guangkai Jiang, Xinru Liu
2026Targeting in Multi-Criteria Decision Making.
Nicolas Schwind, Patricia Everaere, Sébastien Konieczny, Emmanuel Lonca
2026Task Prototype-Based Knowledge Retrieval for Multi-Task Learning from Partially Annotated Data.
Youngmin Oh, Hyung-Il Kim, Jung Uk Kim
2026Task-Aware 3D Affordance Segmentation via 2D Guidance and Geometric Refinement.
Lian He, Meng Liu, Qilang Ye, Yu Zhou, Xiang Deng, Gangyi Ding
2026Task-Aware Meta-Learning on Heterogeneous Knowledge Graph for POI Recommendation.
Jingyuan Wang, Zhichun Wang, Tong Lu, Yiming Guan
2026Task-Aware Retrieval Augmentation for Dynamic Recommendation.
Zhen Tao, Xinke Jiang, Qingshuai Feng, Haoyu Zhang, Lun Du, Yuchen Fang, Hao Miao, Bangquan Xie, Qingqiang Sun
2026Task-Specific Distance Correlation Matching for Few-Shot Action Recognition.
Fei Long, Yao Zhang, Jiaming Lv, Jiangtao Xie, Peihua Li
2026TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training.
Houming Wu, Ling Chen
2026TaxReasoning: Benchmarking Knowledge-Intensive Mathematical Reasoning with Evolving Tax Laws.
Nan Hu, Yike Wu, Jiaye Li, Huikang Hu, Guilin Qi, Songlin Zhai, Yongrui Chen, Tianxing Wu, Tongtong Wu, Jiaoyan Chen, Jeff Z. Pan
2026Teach AI What It Doesn't Know.
Xuefeng Du
2026Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning.
Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2026TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching.
Yuan-Ming Li, An-Lan Wang, Ling-An Zeng, Kun-Yu Lin, Yu-Ming Tang, Weishi Zheng
2026Tell as You Want: Customizing Image Narrative with Knowledge and Thoughts.
Ziwei Yao, Qian Wang, Ruiping Wang, Xilin Chen
2026Template-Theorems Graph Construction to Enhance Mathematical Reasoning Capabilities of LLM.
Yarong Lan, Yajing Xu, Huajun Chen
2026Temporal Calibrating and Distilling for Scene-Text Aware Text-Video Retrieval.
Zhiqian Zhao, Liang Li, Lei Shen, Xichun Sheng, Yaoqi Sun, Fang Kang, Chenggang Yan
2026Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors.
Fan Luo, Zeyu Gao, Xinhao Luo, Kai Zhao, Yanfeng Lu
2026Temporal Inconsistency Guidance for Super-resolution Video Quality Assessment.
Yixiao Li, Xiaoyuan Yang, Weide Liu, Xin Jin, Xu Jia, Yu-Kun Lai, Paul L. Rosin, Hantao Liu, Wei Zhou
2026Temporal Object-Aware Vision Transformer for Few-Shot Video Object Detection.
Yogesh Kumar, Anand Mishra
2026Temporal Properties of Conditional Independence in Dynamic Bayesian Networks.
Rajab Aghamov, Christel Baier, Joël Ouaknine, Jakob Piribauer, Mihir Vahanwala, Isa Vialard
2026Temporal and Spatial Representation Learning for Multimodal Low-Beam 3D Object Detection.
Lin Wang, Shiliang Sun, Jing Zhao
2026Temporal-Consistent Video Restoration with Pre-trained Diffusion Models.
Hengkang Wang, Yang Liu, Huidong Liu, Chien-Chih Wang, Yanhui Guo, Hongdong Li, Bryan Wang, Ju Sun
2026Tensor Decomposition and Language Description for Open-Vocabulary Object Detection.
Qiuyu Liang, Yongqiang Zhang
2026Tensorized Label Learning via Balanced Tensor Regression.
Guangyu Yang, Yuzhuo Feng, Qin Li, Quanxue Gao, Ming Yang, Rui Wang
2026TermGPT: Multi-Level Contrastive Fine-Tuning for Terminology Adaptation in Legal and Financial Domains.
Yidan Sun, Mengying Zhu, Feiyue Chen, Yangyang Wu, Xiaolei Dan, Mengyuan Yang, Xiaolin Zheng, Shenglin Ben
2026Test-Time Preference Optimization for Image Restoration.
Bingchen Li, Xin Li, Jiaqi Xu, Jiaming Guo, Wenbo Li, Renjing Pei, Zhibo Chen
2026Test-Time Reinforcement Learning for GUI Grounding via Region Consistency.
Yong Du, Yuchen Yan, Fei Tang, Zhengxi Lu, Chang Zong, Weiming Lu, Shengpei Jiang, Yongliang Shen
2026Test-driven Reinforcement Learning in Continuous Control.
Zhao Yu, Xiuping Wu, Liangjun Ke
2026Test-time Diverse Reasoning by Riemannian Activation Steering.
Ly Tran Ho Khanh, Dongxuan Zhu, Man-Chung Yue, Viet Anh Nguyen
2026Test-time Prompt Intervention.
Chenxu Yang, Qingyi Si, Mz Dai, Dingyu Yao, Mingyu Zheng, Minghui Chen, Zheng Lin, Weiping Wang
2026Testing Under Strategic Manipulation: Mechanism Design for Human and AI Institutions.
Xiaoyun Qiu, Liren Shan
2026Text-Guided Channel Perturbation and Pre-Trained Knowledge Integration for Unified Multi-Modality Image Fusion.
Xilai Li, Xiaosong Li, Weijun Jiang
2026Text-Guided Gradient Refinement: Resolving Multimodal Gradient Conflicts to Boost Adversarial Attacks on Vision-Language Models.
Yuyang Huang, Tianzuo Luo, Hengyuan Guo, Yuren Zhang
2026Text-based Aerial-Ground Person Retrieval.
Xinyu Zhou, Yu Wu, Jiayao Ma, Wenhao Wang, Min Cao, Mang Ye
2026Text-guided Controllable Diffusion for Realistic Camouflage Images Generation.
Yuhang Qian, Haiyan Chen, Wentong Li, Ningzhong Liu, Jie Qin
2026Text-to-Scene with Large Reasoning Models.
Frédéric Berdoz, Luca A. Lanzendörfer, Nick Tuninga, Roger Wattenhofer
2026TextGround4M: A Prompt-Aligned Dataset for Layout-Aware Text Rendering.
Dongxing Mao, Yilin Wang, Linjie Li, Zhengyuan Yang, Alex Jinpeng Wang
2026TextShield-R1: Reinforced Reasoning for Tampered Text Detection.
Chenfan Qu, Yiwu Zhong, Jian Liu, Xuekang Zhu, Bohan Yu, Lianwen Jin
2026Textual Self-Attention Network: Test-Time Preference Optimization Through Textual Gradient-Based Attention.
Shibing Mo, Haoyang Ruan, Kai Wu, Jing Liu
2026Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network.
Tianyu Luan, Xuelu Feng, Zixin Zhu, Phani Nuney, Sheng Liu, Xuan Gong, David S. Doermann, Chunming Qiao, Junsong Yuan
2026The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation.
Ali Falahati, Mohammad Mohammadi Amiri, Kate Larson, Lukasz Golab
2026The Avengers: A Routing Recipe for Collective Intelligence in Language Models.
Yiqun Zhang, Hao Li, Chenxu Wang, Linyao Chen, Qiaosheng Zhang, Peng Ye, Shi Feng, Xinrun Wang, Xu Jia, Lei Bai, Shuyue Hu
2026The Confidence Trap: Gender Bias and Predictive Certainty in LLMs.
Ahmed Sabir, Markus Kängsepp, Rajesh Sharma
2026The Correspondence Between Bounded Graph Neural Networks and Fragments of First-Order Logic.
Bernardo Cuenca Grau, Eva Feng, Przemyslaw Andrzej Walega
2026The Cost and Complexity of Minimizing Envy in House Allocations (Abstract Reprint).
Jayakrishnan Madathil, Neeldhara Misra, Aditi Sethia
2026The Curious Case of Analogies: Investigating Analogical Reasoning in Large Language Models.
Taewhoo Lee, Minju Song, Chanwoong Yoon, Jungwoo Park, Jaewoo Kang
2026The Emotional Baby Is Truly Deadly: Does Your Multimodal Large Reasoning Model Have Emotional Flattery Towards Humans?
Yuan Xun, Xiaojun Jia, Xinwei Liu, Simeng Qin, Hua Zhang
2026The Essentials of AI for Life and Society: A Full-Scale AI Literacy Course Accessible to All.
Zifan Xu, Kristen Procko, Michael J. Munje, Kristin Patterson, Lea Sabatini, Joydeep Biswas, Peter Stone
2026The Finer the Better: Towards Granular-aware Open-set Domain Generalization.
Yunyun Wang, Zheng Duan, Xinyue Liao, Ke-Jia Chen, Songcan Chen
2026The Fixed-Point of Distrust: A Formal Theory of Perceived Systemic Incompetence.
Weilin Zhou
2026The Future Is Neuro-Symbolic: Where Has It Been, and Where Is It Going?
Vaishak Belle, Gary Marcus
2026The GATTACA Framework: Graph Neural Network-Based Reinforcement Learning for Controlling Biological Networks.
Andrzej Mizera, Jakub Zarzycki
2026The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies.
Disa Sariola, Patrick Button, Aron Culotta, Nicholas Mattei
2026The Last Byte: Learning Just Enough for Machine-Oriented Image Compression.
Wuyuan Xie, ZhenMing Li, Ye Liu, Jian Jin, Yun Song, Miaohui Wang
2026The Limitations and Power of NP-Oracle Based Functional Synthesis Techniques.
Brendan Juba, Kuldeep S. Meel
2026The Other Mind: How Language Models Exhibit Human Temporal Cognition.
Lingyu Li, Yang Yao, Yixu Wang, Chunbo Li, Yan Teng, Yingchun Wang
2026The Power of Initial Investigation in Audit Games.
Ren Liu, Weiran Shen
2026The Publication Choice Problem.
Haichuan Wang, Yifan Wu, Haifeng Xu
2026The River Voting Method.
Michelle Döring, Markus Brill, Jobst Heitzig
2026The Search for Stability: Learning Dynamics of Strategic Publishers with Initial Documents (Abstract Reprint).
Omer Madmon, Idan Pipano, Itamar Reinman, Moshe Tennenholtz
2026The Semantic Architect: How FEAML Bridges Structured Data and LLMs for Multi-Label Tasks.
Wanfu Gao, Zebin He, Jun Gao
2026The Shepherd Test: How Will Super Intelligent Agents Balance Care and Control in Asymmetric Relationships?
Djallel Bouneffouf, Matthew Riemer, Kush R. Varshney
2026The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models.
Xinwei Guo, Jiashi Gao, Junlei Zhou, Jiaxin Zhang, Quanying Liu, Haiyan Wu, Xin Yao, Xuetao Wei
2026The Strong Lottery Ticket Hypothesis for Multi-Head Attention Mechanisms.
Hikari Otsuka, Daiki Chijiwa, Yasuyuki Okoshi, Daichi Fujiki, Susumu Takeuchi, Masato Motomura
2026The Structure-Equivalent Prior: Unifying Temporal Dynamics and 3D Evolution in 4D Latent Space.
Jingyuan Gao, Tianyu Shen, Ruosen Hao, Te Guo, Zhiwei Li, Kunfeng Wang
2026The Tatort Test of Intelligence: Towards Narrative Comprehension as a Benchmark for AI.
Stefan Kramer, Lennart Baur, Lars Reinhardt
2026The Visual Prism: Refracting Images into Parallel Multilingual Descriptions with Structured Visual Guidance.
Chengpeng Fu, Xiaocheng Feng, Yichong Huang, Wenshuai Huo, Baohang Li, Yang Xiang, Ting Liu
2026Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning.
Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang
2026Theoretical Guarantees for Domain Adaptation with Hierarchical Optimal Transport (Abstract Reprint).
Mourad El Hamri, Younès Bennani, Issam Falih
2026Theoretical and Empirical Analysis of Lehmer Codes to Search Permutation Spaces with Evolutionary Algorithms.
Yuxuan Ma, Valentino Santucci, Carsten Witt
2026Theory-of-Mind in Partially Observed, Mixed-Motive Games.
Nitay Alon
2026Thermal-Physics Guided Infrared Image Super-Resolution with Dynamic High-Frequency Amplification.
Mingxuan Zhou, Yirui Shen, Shuang Li, Jing Geng, Yutang Zhang, Shuigen Wang
2026Think Before You Segment: An Object-aware Reasoning Agent for Referring Audio-Visual Segmentation.
Jinxing Zhou, Yanghao Zhou, Mingfei Han, Tong Wang, Xiaojun Chang, Hisham Cholakkal, Rao Muhammad Anwer
2026Think How Your Teammates Think: Active Inference Can Benefit Decentralized Execution.
Hao Wu, Shoucheng Song, Chang Yao, Sheng Han, Huaiyu Wan, Youfang Lin, Kai Lv
2026Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval.
Ang Li, Yufei Shi, Yuxuan Si, Yiquan Wu, Ming Cai, Xu Tan, Yi Wang, Changlong Sun, Xiaozhong Liu, Kun Kuang
2026Think Wise, Collaborate Effectively: A Rationale-Aware LLM-Based Recommender with Reinforcement Learning from Collaborative Signals.
Chung Park, Taesan Kim, Hyeongjun Yun, Dongjoon Hong, Junui Hong, Kijung Park, Mincheol Cho, Minsung Choi, Jihwan Seok, Jaegul Choo
2026Think, Speak, Decide: Language-Augmented Multi-Agent Reinforcement Learning for Economic Decision-Making.
Heyang Ma, Qirui Mi, Qipeng Yang, Zijun Fan, Bo Li, Haifeng Zhang
2026Think-J: Learning to Think for Generative LLM-as-a-Judge.
Hui Huang, Yancheng He, Hongli Zhou, Rui Zhang, Wei Liu, Weixun Wang, Jiaheng Liu, Wenbo Su
2026Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction.
Jun Xu, Xinkai Du, Yu Ao, Peilong Zhao, Yang Li, Ling Zhong, Lin Yuan, Zhongpu Bo, Xiaorui Wang, Mengshu Sun, Zhengke Gui, Dalong Zhang, Zhaoyang Wang, QiWei Wang, Yangyang Hou, ZhiYing Yi, Haofen Wang, Huajun Chen, Lei Liang, Jun Zhou
2026Thinking Aesthetics Assessment of Image Color Temperature: Models, Datasets and Benchmarks.
Jinguang Cheng, Chunxiao Li, Shuai He, Taiyu Chen, Anlong Ming
2026Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning.
Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng
2026Thinking Through the Hands: An Exploratory Study of Hand Movements to Assess Students Problem-Solving in Mechanistic Reasoning Tasks.
Harshil Safi, Megha Bansal, Madhu Vadali, Barbara Bruno, Aditi Kothiyal
2026Through the Water: Refractive Gaussian Splatting for Water Surface Scenes.
Yeonghun Yoon, Hojoon Jung, Jaeyoon Lee, Taegwan Kim, Gyu-Hyun Kim, Jongwon Choi
2026TiCAL: Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition.
Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He
2026Tight Robustness Certification Through the Convex Hull of ℓ₀ Attacks.
Yuval Shapira, Dana Drachsler-Cohen
2026Tighter Truncated Rectangular Prism Approximation for RNN Robustness Verification.
Xingqi Lin, Liangyu Chen, Min Wu, Min Zhang, Zhenbing Zeng
2026TileGS: Adaptive Gaussian Densification Through Tile-Guided Perceptual Analysis.
Yiwen Wang, Ran Yi, Lizhuang Ma
2026Time Series Class-Incremental Learning via Confidence-guided Mask Distillation and Prototype-guided Contrastive Learning.
Yu Liu, Haoqin Yang, Jinping Sui, Hui Wang, Haipeng Li, Weimin Wang, Qi Jia
2026Time Series Forecasting via Direct Per-Step Probability Distribution Modeling.
Linghao Kong, Xiaopeng Hong
2026Time Shuffle: A Transferability-Booster for Multiple Audio Adversarial Tasks.
Jiacheng Deng, Dengpan Ye, Yuhong Liu, Zhaolin Wei, Ziyi Liu, Haoran Duan
2026Time-Frequency Augmented Multi-level Contrastive Clustering for Time Series.
Congyu Wang, Mingjing Du, Xiang Jiang
2026Time-Frequency Token Advantage Clipping for Training Efficient Large Reasoning Model.
Rong Bao, Bo Wang, Xiao Wang, Hongyu Li, Rui Zheng, Leszek Rutkowski, Qi Zhang, Liang Ding, Dacheng Tao
2026Time-Series Anomaly Detection with Graph-Based Self-Supervised Learning and Foundation Models: Towards Real-World Applications.
Thi Kieu Khanh Ho
2026Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring.
Moti Rattan Gupta, Anupam Sobti
2026TimeBill: Time-Budgeted Inference for Large Language Models.
Qi Fan, An Zou, Yehan Ma
2026TimeCAP: A Channel-Aware Pre-Training Framework for Multivariate Time Series Forecasting.
Chuanru Ren, Yao Lu, Tianjin Huang, Haowen Zheng, Hengde Zhu, Yunyin Li, Hengxiao Li, Lu Liu
2026TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding.
Kuiye Ding, Fanda Fan, Chunyi Hou, Zheya Wang, Lei Wang, Zhengxin Yang, Jianfeng Zhan
2026Timestep-Compressed Attack on Spiking Neural Networks Through Timestep-Level Backpropagation.
Donghwa Kang, Doohyun Kim, Sang-Ki Ko, Jinkyu Lee, Hyeongboo Baek, Brent ByungHoon Kang
2026TinyChemVL: Advancing Chemical Vision-Language Models via Efficient Visual Token Reduction and Complex Reaction Tasks.
Xuanle Zhao, Shuxin Zeng, Xinyuan Cai, Xiang Cheng, Duzhen Zhang, Xiuyi Chen, Bo Xu
2026To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance.
Wanlong Fang, Tianle Zhang, Alvin Chan
2026ToC: Tree-of-Claims Search with Multi-Agent Language Models.
Shuyang Yu, Jianan Liang, Hui Hu
2026Token Painter: Training-Free Text-Guided Image Inpainting via Mask Autoregressive Models.
Longtao Jiang, Jie Huang, Mingfei Han, Lei Chen, Yongqiang Yu, Feng Zhao, Xiaojun Chang, Zhihui Li
2026Token-Context Attention for NLI: An Alternative to Self-Attention.
Xin Zhang, Victor S. Sheng
2026TokenPowerBench: Benchmarking the Power Consumption of LLM Inference.
Chenxu Niu, Wei Zhang, Jie Li, Yongjian Zhao, Tongyang Wang, Xi Wang, Yong Chen
2026Tokenize Once, Recommend Anywhere: Unified Item Tokenization for Multi-domain LLM-based Recommendation.
Yu Hou, Won-Yong Shin
2026TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents.
Bofei Zhang, Zirui Shang, Zhi Gao, Wang Zhang, Rui Xie, Xiaojian Ma, Tao Yuan, Xinxiao Wu, Song-Chun Zhu, Qing Li
2026Too Sure for Our Own Good: A User Study on AI Confidence and Human Reliance.
Caterina Fregosi, Lucia Vicente, Andrea Campagner, Federico Cabitza
2026ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning.
Xingshan Zeng, Weiwen Liu, Xu Huang, Zezhong Wang, Lingzhi Wang, Liangyou Li, Yasheng Wang, Lifeng Shang, Xin Jiang, Ruiming Tang, Qun Liu
2026ToolSmith: A Multi-Agent Framework for Enterprise Tool Creation.
Purna Chandra Sekhar Vakudavathu, Kushal Mukherjee, Jayachandu Bandlamudi, Renuka Sindhgatta, Sameep Mehta
2026Top-Down Semantic Refinement for Image Captioning.
Jusheng Zhang, Kaitong Cai, Jing Yang, Jian Wang, Chengpei Tang, Keze Wang
2026Topo-GraT: Learning to Grow with Causal Graph Transformers (Student Abstract).
Ashim Dhor, Smily Bharadwaj
2026Topological Federated Clustering via Gravitational Potential Fields Under Local Differential Privacy.
Yunbo Long, Jiaquan Zhang, Xi Chen, Alexandra Brintrup
2026Topology-Aware Vision Transformers for Enhanced Scene Recognition.
Yunxi Wang, Shuaiyu Liu, Qiling Li, Yazhou Ren, Xiaorong Pu
2026Topology-Enhanced and Label Correlation-Aware Model for Protein-Protein Interaction Prediction.
Bin Deng, Huifang Ma, Ruijia Zhang, Meihuizi Jia, Rui Bing
2026Topology-Inspired Backward-Free Framework for Test-Time Adaptation in Medical Detection.
Bin Pu, Xingguo Lv, Jiewen Yang, Kai Xu, Lei Zhao, Zuozhu Liu, Kenli Li
2026Topology-aware Knowledge Preservation for Class-Incremental Learning.
Han Zang, Yongfeng Dong, Linhao Li, Liang Yang, Yu Wang
2026TouchFormer: A Robust Transformer-based Framework for Multimodal Material Perception.
Kailin Lyu, Long Xiao, Jianing Zeng, Junhao Dong, Xuexin Liu, Zhuojun Zou, Haoyue Yang, Lin Shu, Jie Hao
2026Toward Artificial Metacognition.
Paulo Shakarian
2026Toward Better EHR Reasoning in LLMs: Reinforcement Learning with Expert Attention Guidance.
Yue Fang, Yuxin Guo, Jiaran Gao, Hongxin Ding, Xinke Jiang, Weibin Liao, Yongxin Xu, Yinghao Zhu, Zhibang Yang, Liantao Ma, Junfeng Zhao, Yasha Wang
2026Toward Causal Foundation World Models: From Representation to Decision-Making.
Mengyue Yang
2026Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact.
Ben Zhou
2026Toward Gaze Target Detection of Young Autistic Children.
Shijian Deng, Erin E. Kosloski, Siva Sai Nagender Vasireddy, Jia Li, Randi Sierra Sherwood, Feroz Mohamed Hatha, Siddhi Patel, Pamela R. Rollins, Yapeng Tian
2026Toward Multimodal Fake News Detection by Multi-perspective Rationale Generation and Verification.
Junyang Chen, Yueqian Li, Ka Chung Ng, Huan Wang, Liang-Jie Zhang
2026Toward Real-World High-Precision Image Matting and Segmentation.
Haipeng Zhou, Zhaohu Xing, Hongqiu Wang, Jun Ma, Ping Li, Lei Zhu
2026Toward Simulating Networked Societies with Formal Institutions Using AI Agents.
Michael Richards, Danny Cowser, Daniel Nielson, Jacob W. Crandall
2026Toward Time-Continuous Data Inference in Sparse Urban CrowdSensing.
Hao Du, Wenbin Liu, Ziyu Sun, Haoyang Su, En Wang, Yuanbo Xu
2026Toward Trustworthy AI for Decision Making in Population Health.
Alexander Rodríguez
2026Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance.
Kwanyoung Kim
2026Towards 3D Object-Centric Feature Learning for Semantic Scene Completion.
Weihua Wang, Yubo Cui, Xiangru Lin, Zhiheng Li, Zheng Fang
2026Towards Accurate 3D Object Detection in Adverse Weather by Leveraging 4D Radar for LiDAR Geometry Enhancement.
Tianxu Tong, Xinrun Liu, Hongmin Liu, Bin Fan
2026Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators.
Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Kaize Ding, Ranjay Krishna
2026Towards Adaptive Humanoid Control via Multi-Behavior Distillation and Reinforced Fine-Tuning.
Yingnan Zhao, Xinmiao Wang, Dewei Wang, Xinzhe Liu, Dan Lu, Qilong Han, Peng Liu, Chenjia Bai
2026Towards Affordance-Aware Robotic Dexterous Grasping with Human-like Priors.
Haoyu Zhao, Linghao Zhuang, Xingyue Zhao, Cheng Zeng, Haoran Xu, Yuming Jiang, Jun Cen, Kexiang Wang, Jiayan Guo, Siteng Huang, Xin Li, Deli Zhao, Hua Zou
2026Towards Agents That Exhibit Human-Like Autonomy in Complex Environments.
Rohan Chandra
2026Towards Aligned and Efficient Large Language Models.
Yu Meng
2026Towards Authentic Movie Dubbing with Retrieve-Augmented Director-Actor Interaction Learning.
Rui Liu, Yuan Zhao, Zhenqi Jia
2026Towards Automated Self-Supervised Learning for Truly Unsupervised Graph Anomaly Detection (Abstract Reprint).
Zhong Li, Yuhang Wang, Matthijs van Leeuwen
2026Towards Autonomous UAV Visual Object Search in City Space: Benchmark and Agentic Methodology.
Yatai Ji, Zhengqiu Zhu, Yong Zhao, Beidan Liu, Chen Gao, Yihao Zhao, Sihang Qiu, Yue Hu, Quanjun Yin
2026Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models.
Wei Qian, Chenxu Zhao, Yangyi Li, Mengdi Huai
2026Towards Better Code Understanding in Decoder-Only Models with Contrastive Learning.
Jiayi Lin, Yanlin Wang, Yibiao Yang, Lei Zhang, Yutao Xie
2026Towards Better Correctness and Efficiency in Code Generation.
Yunlong Feng, Yang Xu, Xiao Xu, Binyuan Hui, Junyang Lin
2026Towards Better IncomLDL: We Are Unaware of Hidden Labels in Advance.
Jiecheng Jiang, Jiawei Tang, Jiahao Jiang, Hui Liu, Junhui Hou, Yuheng Jia
2026Towards Capable and Secure Autonomous Computer-Use Agents (Student Abstract).
Malak Mahdy, Carlos E. Rubio-Medrano
2026Towards Closed-Loop Embodied Empathy Evolution: Probing LLM-Centric Lifelong Empathic Motion Generation in Unseen Scenarios.
Jiawen Wang, Jingjing Wang, Tianyang Chen, Min Zhang, Guodong Zhou
2026Towards Continually-Evolving AI: Selective and Expandable Multimodal Memory System.
Jaehong Yoon
2026Towards Data-Efficient Deep Learning for RNA 3D Structure Prediction and Design.
Yimeng Liu
2026Towards Distance-Invariant Radio Frequency Fingerprinting via Augmented Unsupervised Learning.
Shiyue Huang, Yuchen Su, Hongbo Liu, Zikang Ding, Xuewan He, Yanzhi Ren, Haitao Jia
2026Towards Effective Code-Integrated Reasoning.
Fei Bai, Yingqian Min, Beichen Zhang, Zhipeng Chen, Xin Zhao, Lei Fang, Zheng Liu, Zhongyuan Wang, Hongteng Xu
2026Towards Effective Offensive Security LLM Agents: Hyperparameter Tuning, LLM as a Judge, and a Lightweight CTF Benchmark.
Minghao Shao, Nanda Rani, Kimberly Milner, Haoran Xi, Meet Udeshi, Saksham Aggarwal, Venkata Sai Charan Putrevu, Sandeep K. Shukla, Prashanth Krishnamurthy, Farshad Khorrami, Ramesh Karri, Muhammad Shafique
2026Towards Effective and Efficient Context-aware Nucleus Detection in Histopathology Whole Slide Images.
Zhongyi Shui, Honglin Li, Yunlong Zhang, Yuxuan Sun, Yiwen Ye, Pingyi Chen, Ruizhe Guo, Lei Cui, Chenglu Zhu, Lin Yang
2026Towards Effective, Stealthy, and Persistent Backdoor Attacks Targeting Graph Foundation Models.
Jiayi Luo, Qingyun Sun, Lingjuan Lyu, Ziwei Zhang, Haonan Yuan, Xingcheng Fu, Jianxin Li
2026Towards Efficient Low-rate Image Compression with Frequency-aware Diffusion Prior Refinement.
Yichong Xia, Yimin Zhou, Jinpeng Wang, Bin Chen
2026Towards Efficient and Effective Interactive 3D Segmentation.
Wei Cong, Yang Cong, Jiahua Dong, Gan Sun
2026Towards Efficient and Robust Manipulation via Multi-Frame Vision-Language-Action Modeling.
Hao Li, Shuai Yang, Yilun Chen, Xinyi Chen, Xiaoda Yang, Yang Tian, Hanqing Wang, Tai Wang, Dahua Lin, Feng Zhao, Jiangmiao Pang
2026Towards Explainable Video Camouflaged Object Detection: SAM2 with Eventstream-Inspired Data.
Hong Zhang, Yixuan Lyu, Hanyang Liu, Jianbo Song, Ding Yuan, Yifan Yang
2026Towards Fairness in Transportation Gig Markets: Identifying, Imitating, and Mitigating Algorithm Discrimination via Deep Reinforcement Learning.
Zijian Zhao
2026Towards Federated Clustering: A Client-wise Private Graph Aggregation Framework.
Guanxiong He, Zheng Wang, Jie Wang, Liaoyuan Tang, Rong Wang, Feiping Nie
2026Towards Generalist Robot Learning from Internet Video: A Survey (Abstract Reprint).
Robert McCarthy, Daniel Chee Hian Tan, Dominik Schmidt, Fernando Acero, Nathan Herr, Yilun Du, Thomas George Thuruthel, Zhibin Li
2026Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations.
Kazi Ashik Islam, Zakaria Mehrab, Mahantesh M. Halappanavar, Henning S. Mortveit, Sridhar Katragadda, Jon Derek Loftis, Stefan Hoops, Madhav V. Marathe
2026Towards High-Fidelity 3D Portrait Generation with Rich Details by Cross-View Prior-Aware Diffusion.
Haoran Wei, Wencheng Han, Xingping Dong, Jianbing Shen
2026Towards High-Resolution 3D Anomaly Detection: A Scalable Dataset and Real-Time Framework for Subtle Industrial Defects.
Yuqi Cheng, Yihan Sun, Hui Zhang, Weiming Shen, Yunkang Cao
2026Towards Human-centered Proactive Conversational AI.
Yang Deng
2026Towards Illumination-Aware Restoration of Metalens-Captured Images: A New Dataset and a Strong Baseline.
Fen Fang, Xinan Liang, Muli Yang, Jinghong Zheng, Tobias Wilhelm W. Mass, Ying Sun, XuLei Yang, Xuewu Xu, Zhengguo Li
2026Towards Inclusive AI: Advancing Multilingual Large Language Models.
Wenxuan Zhang
2026Towards LLM-Empowered Knowledge Tracing via LLM-Student Hierarchical Behavior Alignment in Hyperbolic Space.
Xingcheng Fu, Shengpeng Wang, Yisen Gao, Xianxian Li, Chunpei Li, Qingyun Sun, Dongran Yu
2026Towards Long-window Anchoring in Vision-Language Model Distillation.
Haoyi Zhou, Shuo Li, Tianyu Chen, Qi Song, Chonghan Gao, Jianxin Li
2026Towards Multimodal Continual Knowledge Embedding wth Modality Forgetting Modulation.
Xiaowen Jiang, Jing Yang, Shundong Yang, Yuan Gao, Xinfa Jiang, Laurence Tianruo Yang, Jieming Yang
2026Towards Multiple Missing Values-resistant Unsupervised Graph Anomaly Detection.
Jiazhen Chen, Xiuqin Liang, Sichao Fu, Zheng Ma, Weihua Ou
2026Towards Non-Stationary Time Series Forecasting with Temporal Stabilization and Frequency Differencing.
Junkai Lu, Peng Chen, Chenjuan Guo, Yang Shu, Meng Wang, Bin Yang
2026Towards Nonlinear Sparse AUC Maximization via Compositional Stochastic Hard Thresholding.
Wenkang Wang, Dongxu Liu, Bin Gu
2026Towards OOD Generalization in Dynamic Graphs via Causal Invariant Learning.
Xinxun Zhang, Pengfei Jiao, Mengzhou Gao, Tianpeng Li, Xuan Guo
2026Towards Offline Imitation Learning: Strictly Batch Settings, Generalization, and Variability in Expertise.
Rishabh Agrawal
2026Towards Privacy-Protected Generalized Gaze Estimation Using Diffusion Models and Domain Stability Adaptation Framework.
Ziyi Wang, Shengcheng Ye, Faming Fang, Haichuan Song
2026Towards Provably Secure and Highly Robust Generative Image Steganography Leveraging Latent Diffusion Model.
Chengsheng Yuan, Zhaonan Ji, Qi Cui, Zhili Zhou, Xinting Li, Zhihua Xia
2026Towards Provably Unlearnable Examples via Bayes Error Optimization.
Ruihan Zhang, Jun Sun, Ee-Peng Lim, Peixin Zhang
2026Towards Real-Time Neutral Atom Array Assembly via Unsupervised Hologram Generation and Path Optimization.
Ge Yan, Yuchen Wang, Junchi Yan
2026Towards Reinforcement Learning from Neural Feedback: Mapping fNIRS Signals to Agent Performance.
Julia Santaniello, Matthew Russell, Benson Jiang, Donatello Sassaroli, Robert J. K. Jacob, Jivko Sinapov
2026Towards Robust Edge Model Adaptation via Elastic Architecture Search.
Xianhang Chu, Xu Yang, Kun Wei, Xi Wang
2026Towards Robust Event-Based Depth Estimation: Bridging Synthetic and Real Domains with Motion Adaptation.
Yuzhe Ji, Haotian Wang, Yijie Chen, Xiang Cheng, Liuqing Yang, Xinhu Zheng
2026Towards Robust Human-AI Decision-Making via Learning-to-Defer.
Yannis Montreuil
2026Towards Robust Text-Attributed Federated Graph Learning: Multimodal Threats and Defense.
Zitong Shi, Guancheng Wan, Wenke Huang, Yuxin Wu, Quan Zhang, Mang Ye
2026Towards Robust and Interpretable Event-Frame Fusion for Autonomous Driving.
Dongyue Lu
2026Towards Robust, Reliable, and Generalized Medical AI.
Chenyu You
2026Towards Scalable Web Accessibility Audit with MLLMs as Copilots.
Ming Gu, Ziwei Wang, Sicen Lai, Zirui Gao, Sheng Zhong, Jiajun Bu
2026Towards Single Exponential Time for Temporal and Spatial Reasoning: A Study via Redundancy and Dynamic Programming.
Victor Lagerkvist, Johanna Groven, Leif Eriksson
2026Towards Spatially Consistent Image Generation: On Incorporating Intrinsic Scene Properties into Diffusion Models.
Hyundo Lee, Suhyung Choi, Inwoo Hwang, Byoung-Tak Zhang
2026Towards Synthesizing High-Dimensional Tabular Data with Limited Samples.
Zuqing Li, Junhao Gan, Jianzhong Qi
2026Towards Temporal Fusion Beyond the Field of View for Camera-based Semantic Scene Completion.
Jongseong Bae, Junwoo Ha, Jinnyeong Heo, Yeongin Lee, Ha Young Kim
2026Towards Test-time Efficient Visual Place Recognition via Asymmetric Query Processing.
Jaeyoon Kim, Yoonki Cho, Sung-Eui Yoon
2026Towards Training-Free and Accurate ANN-to-SNN Conversion via Activation-Aware Redistribution.
Honglin Cao, Shuai Wang, Zijian Zhou, Ammar Belatreche, Wenjie Wei, Yu Liang, Yu Yang, Rui Xi, Malu Zhang, Haizhou Li
2026Towards Trustworthy Multimodal AI Systems.
Chirag Agarwal
2026Towards Ultrasound-based Reliable Disease Diagnosis Using Causal Inference.
Bolei Chen, Jiaxu Kang, Haonan Yang, Ping Zhong, Yixiong Liang, Rui Fan, Jianxin Wang
2026Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs.
Zhongjie Shi, Puyu Wang, Chenyang Zhang, Yuan Cao
2026Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios.
Qilu Shen, Yingjie Wang, Jinhai Xiang
2026Towards Unified Vision-Language Models with Incomplete Multi-Modal Inputs.
Xiang Fang, Wanlong Fang, Changshuo Wang, Keke Tang, Daizong Liu, Siyi Wang, Wei Ji
2026Towards Zero-Shot Diabetic Retinopathy Grading: Learning Generalized Knowledge via Prompt-Driven Matching and Emulating.
Huan Wang, Haoran Li, Yuxin Lin, Huaming Chen, Jun Yan, Lijuan Wang, Jiahua Shi, Qihao Xu, Yongting Hu, Yong Xu, Jun Shen
2026Towards a Common Framework for Autoformalization.
Agnieszka Mensfelt, David Tena Cucala, Santiago Franco, Angeliki Koutsoukou-Argyraki, Vince Trencsenyi, Kostas Stathis
2026Towards a Rigorous Understanding of the Population Dynamics of the NSGA-III: Tight Runtime Bounds.
Andre Opris
2026Towards an Ontology-Driven Approach to Document Bias (Abstract Reprint).
Mayra Russo, Maria-Esther Vidal
2026TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents.
Dawei Wang, Chengming Zhou, Di Zhao, Xinyuan Liu, Marci Chi Ma, Gary Ushaw, Richard Davison
2026TraceTrans: Translation and Spatial Tracing for Surgical Prediction.
Xiyu Luo, Haodong Li, Xinxing Cheng, He Zhao, Yang Hu, Xuan Song, Tianyang Zhang
2026Tracing the Heart's Pathways: ECG Representation Learning from a Cardiac Conduction Perspective.
Tan Pan, Yixuan Sun, Chen Jiang, Qiong Gao, Rui Sun, Xingmeng Zhang, Zhenqi Yang, Limei Han, Yixiu Liang, Yuan Cheng, Kaiyu Guo
2026TrackGS: Optimizing COLMAP-Free 3D Gaussian Splatting with Global Track Constraints.
Dongbo Shi, Shen Cao, Lubin Fan, Bojian Wu, Jinhui Guo, Ligang Liu, Renjie Chen
2026Tracking and Segmenting Anything in Any Modality.
Tianlu Zhang, Qiang Zhang, Guiguang Ding, Jungong Han
2026Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos.
Jianbo Ma, Hui Luo, Qi Chen, Yuankai Qi, Yumei Sun, Amin Beheshti, Jianlin Zhang, Ming-Hsuan Yang
2026Tractable Sharpness-Aware Learning of Probabilistic Circuits.
Hrithik Suresh, Sahil Sidheekh, Vishnu Shreeram M. P, Sriraam Natarajan, Narayanan Chatapuram Krishnan
2026Tractable Weighted First-Order Model Counting with Bounded Treewidth Binary Evidence.
Václav Kula, Qipeng Kuang, Yuyi Wang, Yuanhong Wang, Ondrej Kuzelka
2026Trade-offs in Large Reasoning Models: An Empirical Analysis of Deliberative and Adaptive Reasoning over Foundational Capabilities.
Weixiang Zhao, Xingyu Sui, Jiahe Guo, Yulin Hu, Yang Deng, Yanyan Zhao, Xuda Zhi, Yongbo Huang, Hao He, Wanxiang Che, Ting Liu, Bing Qin
2026Traffic Signal Plans Explorer: A General Framework for Visualising Traffic Evolution.
Francesco Doria, Francesco Percassi, Marco Maratea, Mauro Vallati
2026Trainable EEG Interpolation and Structure-Sharing Dual-Path Encoders for Brain-Assisted Target Speaker Extraction.
Zhao Lv, Haoran Zhou, Ying Chen, Youdian Gao, Xinhui Li, Ruibo Fu, Cunhang Fan
2026Training and Inference Within 1 Second - Tackle Cross-Sensor Degradation of Real-World Pansharpening with Efficient Residual Feature Tailoring.
Tianyu Xin, Jin-Liang Xiao, Zeyu Xia, Shan Yin, Liang-Jian Deng
2026Training-Free ANN-to-SNN Conversion for High-Performance Spiking Transformers.
Jingya Wang, Xin Deng, Wenjie Wei, Dehao Zhang, Shuai Wang, Qian Sun, Jieyuan Zhang, Hanwen Liu, Ning Xie, Malu Zhang
2026Training-Free Multi-Character Audio-Driven Animation via Diffusion Transformer with Reward Feedback.
Xingpei Ma, Shenneng Huang, Jiaran Cai, Yuansheng Guan, Shen Zheng, Hanfeng Zhao, Qiang Zhang, Shunsi Zhang
2026Training-Free Spatio-temporal Decoupled Reasoning Video Segmentation with Adaptive Object Memory.
Zhengtong Zhu, Jiaqing Fan, Zhixuan Liu, Fanzhang Li
2026Training-free Boosting for Few-shot Segmentation via Generalizing Semantic Mining.
Kangyu Xiao, Zilei Wang, Yixin Zhang, Junjie Li
2026TrajAgg: Dual-Scale Feature Aggregation with Hybrid Training for Trajectory Similarity Computation in Free Space.
Xiao Zhang, Xingyu Zhao, Yuan Cao, Bin Wang, Guiyuan Jiang, Yanwei Yu
2026TrajEvo: Trajectory Prediction Heuristics Design via LLM-driven Evolution.
Zhikai Zhao, Chuanbo Hua, Federico Berto, Kanghoon Lee, Zihan Ma, Jiachen Li, Jinkyoo Park
2026TransFR: Transferable Federated Recommendation with Adapter Tuning on Pre-trained Language Models.
Honglei Zhang, Zhiwei Li, Haoxuan Li, Xin Zhou, Jie Zhang, Yidong Li
2026TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model.
Yixing Li, Ruobing Xie, Zhen Yang, Xingwu Sun, Shuaipeng Li, Weidong Han, Zhanhui Kang, Di Wang, Yu Cheng
2026Transferability of Adversarial Attacks in Video-based MLLMs: A Cross-modal Image-to-Video Approach.
Linhao Huang, Xue Jiang, Zhiqiang Wang, Wentao Mo, Xi Xiao, Yongjie Yin, Bo Han, Feng Zheng
2026Transferable Backdoor Attacks for Code Models via Sharpness-Aware Adversarial Perturbation.
Shuyu Chang, Haiping Huang, Yanjun Zhang, Yujin Huang, Fu Xiao, Leo Yu Zhang
2026Transferable Graph Condensation from the Causal Perspective.
Huaming Du, Yijie Huang, Su Yao, Yiying Wang, Yueyang Zhou, Jingwen Yang, Jinshi Zhang, Han Ji, Yu Zhao, Guisong Liu, Hegui Zhang, Carl Yang, Gang Kou
2026Transferable Hypergraph Attack via Injecting Nodes into Pivotal Hyperedges.
Meixia He, Peican Zhu, Le Cheng, Yangming Guo, Manman Yuan, Keke Tang
2026Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization.
Jihwan Park, Taehoon Song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim
2026Transferable RL for Real-World Navigation Using Semantic Segmentation and Bird's-Eye View Abstraction.
Benedikt Schlereth-Groh, Sakir Furkan Yöndem, Ramin Tavakoli Kolagari
2026Transferring Causal Driving Patterns for Generalizable Traffic Simulation with Diffusion-Based Distillation.
Yuhang Chen, Jie Sun, Jialin Fan, Jian Sun
2026Transform-Free Feature Coding via Entropy-Constrained Vector Quantization.
Qiaoxi Chen, Changsheng Gao, Li Li, Dong Liu
2026Transformer with Controlled Attention for Synchronous Motion Captioning.
Karim Radouane, Sylvie Ranwez, Julien Lagarde, Andon Tchechmedjiev
2026Transformers in Pseudo-Random Number Generation: A Dual Perspective on Theory and Practice.
Ran Li, Lingshu Zeng
2026Transolver Is a Linear Transformer: Revisiting Physics-Attention Through the Lens of Linear Attention.
Wenjie Hu, Sidun Liu, Peng Qiao, Zhenglun Sun, Yong Dou
2026Transparent Networks for Multivariate Time Series.
Minkyu Kim, Suan Lee, Jinho Kim
2026Trauma THOMPSON: A Dataset and Realistic Generative Framework for AI Copilots in Emergency Care.
Yupeng Zhuo, Eddie Zhang, Xiangchen Yu, Aditya Pachpande, Andrew W. Kirkpatrick, Jessica L. McKee, Juan P. Wachs
2026TraveLLaMA: A Multimodal Travel Assistant with Large-Scale Dataset and Structured Reasoning.
Meng Chu, Yukang Chen, Haokun Gui, Shaozuo Yu, Yi Wang, Jiaya Jia
2026Treatment Stitching with Schrödinger Bridge for Enhancing Offline Reinforcement Learning in Adaptive Treatment Strategies.
Dong-Hee Shin, Deok-Joong Lee, Young-Han Son, Tae-Eui Kam
2026Tree-Based Stochastic Optimization for Solving Large-Scale Urban Network Security Games.
Shuxin Zhuang, Linjian Meng, Shuxin Li, Minming Li, Youzhi Zhang
2026TreeBridge: Aligning LLM Embeddings in Industrial Recommender Systems.
Yabo Ni, Yuanpeng Cao, Wenhang Zhou, Bangyang Hong, Zhongyi Zhang, Enlei Cai, Kangle Wu, Anxiang Zeng, Han Yu, Xiaoxiao Li
2026TriFusion-IDS: A Multimodal Graph-Tabular-Text Contrastive Framework for Cross-Dataset Intrusion Detection.
Qinxin Zhao, Sheng Zhong
2026Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs.
Renhong Huang, Yuxuan Cao, Yi Li, Junwei Hu, Zihua Xiong, Shuai Fang, Sheng Guo, Bo Zheng, Yang Yang
2026TrinityDNA: A Bio-Inspired Foundational Model for Efficient Long-Sequence DNA Modeling.
Qirong Yang, Yucheng Guo, Zicheng Liu, Yujie Yang, Qijin Yin, Siyuan Li, Shaomin Ji, Linlin Chao, Xiaoming Zhang
2026TripleFDS: Triple Feature Disentanglement and Synthesis for Scene Text Editing.
Yuchen Bao, Yiting Wang, Wenjian Huang, Haowei Wang, Shen Chen, Taiping Yao, Shouhong Ding, Jianguo Zhang
2026Truncated Counterfactual Learning for Anytime Multi-Agent Path Finding.
Thomy Phan, Shao-Hung Chan, Sven Koenig
2026TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction.
Dahai Yu, Rongchao Xu, Dingyi Zhuang, Yuheng Bu, Shenhao Wang, Guang Wang
2026Trusted Multi-view Learning for Long-tailed Classification.
Chuanqing Tang, Yifei Shi, Guanghao Lin, Lei Xing, Long Shi
2026Trustworthy AI-Assisted Programming: Detection and Repair of Unreliable Code.
Jian Wang
2026Trustworthy Autonomy Without Human Intervention in Uncertain Domains.
Michelle Ho
2026Trustworthy Classification for Complex Social Surveys: A Memory-Enhanced Hierarchical Framework with Calibrated Uncertainty.
Zeqiang Wang, Rebecca Oldroyd, Yuqi Wang, Jiageng Wu, Jie Yang, Wei Wang, Nishanth Ramakrishna Sastry, Jon Johnson, Suparna De
2026Truth, Justice, and Secrecy: Cake Cutting Under Privacy Constraints.
Yaron Salman, Tamir Tassa, Omer Lev, Roie Zivan
2026Truth-Tracking Evaluation in Opinion-Based Argumentation.
Juliete Rossie, Jérôme Delobelle, Sébastien Konieczny, Srdjan Vesic
2026TruthfulRAG: Resolving Factual-level Conflicts in Retrieval-Augmented Generation with Knowledge Graphs.
Shuyi Liu, Yu-Ming Shang, Xi Zhang
2026TubeRMC: Tube-conditioned Reconstruction with Mutual Constraints for Weakly-supervised Spatio-Temporal Video Grounding.
Jinxuan Li, Yi Zhang, Jian-Fang Hu, Chaolei Tan, Tianming Liang, Beihao Xia
2026TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning.
Qifeng Lei, Zhiyong Yang, Qianqian Xu, Cong Hua, Peisong Wen, Qingming Huang
2026Tuning Medical Foundation Models for Inner Ear Temporal CT Analysis with Plug-and-play Domain Knowledge Aggregator.
Weixun Wan, Xinyang Jiang, Zilong Wang, Bei Li, Cairong Zhao
2026Tuning for Two Adversaries: Enhancing the Robustness Against Transfer and Query-Based Attacks Using Hyperparameter Tuning.
Pascal Zimmer, Ghassan Karame
2026Tuning-Free Amodal Segmentation via the Occlusion-Free Bias of Inpainting Models.
Jae Joong Lee, Bedrich Benes, Raymond A. Yeh
2026TuningIQA: Fine-Grained Blind Image Quality Assessment for Livestreaming Camera Tuning.
Xiangfei Sheng, Zhichao Duan, Xiaofeng Pan, Yipo Huang, Zhichao Yang, Pengfei Chen, Leida Li
2026Turbo-VAED: Fast and Stable Transfer of Video-VAEs to Mobile Devices.
Ya Zou, Jingfeng Yao, Siyuan Yu, Shuai Zhang, Wenyu Liu, Xinggang Wang
2026TweezeEdit: Consistent and Efficient Image Editing with Path Regularization.
Jianda Mao, Kaibo Wang, Yang Xiang, Kani Chen
2026Two Constraint Compilation Methods for Lifted Planning.
Periklis Mantenoglou, Luigi Bonassi, Enrico Scala, Pedro Zuidberg Dos Martires
2026Two Heads Are Better than One: Distilling Large Language Model Features into Small Models with Feature Decomposition and Mixture.
Tianhao Fu, Xinxin Xu, Weichen Xu, Jue Chen, Ruilong Ren, Bowen Deng, Xinyu Zhao, Jian Cao, Xixin Cao
2026U2B: Scale-unbiased Representation Converter for Graph Classification with Imbalanced and Balanced Scale Distributions.
Guanjun Wang, Jianhao Zhang, Jiaming Ma, Sheng Huang, Pengkun Wang, Zhengyang Zhou, Binwu Wang, Yang Wang
2026U2UData+: A Scalable Swarm UAVs Autonomous Flight Dataset for Embodied Long-horizon Tasks.
Tongtong Feng, Xin Wang, Feilin Han, Leping Zhang, Wenwu Zhu
2026UAV4D: Dynamic Neural Rendering of Human-Centric UAV Imagery Using Gaussian Splatting.
Jaehoon Choi, Dongki Jung, Chris Maxey, Sungmin Eum, Yonghan Lee, Dinesh Manocha, Heesung Kwon
2026UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization.
Zhanhong Fang, Debing Wang, Jinbiao Chen, Jiahai Wang, Zizhen Zhang
2026UDA: Unsupervised Debiasing Alignment for Pair-wise LLM-as-a-Judge.
Yang Zhang, Cunxiang Wang, Lindong Wu, Wenbo Yu, Yidong Wang, Guangsheng Bao, Jie Tang
2026UDCH: Unsupervised Dynamic Weighted Cluster-cooperative Hashing for Cross-modal Retreival.
Yuanzhi Zhao, Fan Yang, Yudong Zhao, Xiaoyu Li
2026UI-R1: Enhancing Efficient Action Prediction of GUI Agents by Reinforcement Learning.
Zhengxi Lu, Yuxiang Chai, Yaxuan Guo, Xi Yin, Liang Liu, Hao Wang, Han Xiao, Shuai Ren, Pengxiang Zhao, Guangyi Liu, Guanjing Xiong, Hongsheng Li
2026UM-Text: A Unified Multimodal Model for Image Understanding and Visual Text Editing.
Lichen Ma, Xiaolong Fu, Gaojing Zhou, Zipeng Guo, Ting Zhu, Yichun Liu, Yu Shi, Jason Li, Junshi Huang
2026UMNet: Uncertainty-guided Memory Network for Hyperspectral Pansharpening.
Xiaozheng Wang, Yong Yang, Shuying Huang, Nayu Liu, Ziyang Liu
2026UNO! UNified Offline Training Paradigm for Learning Path Recommendation.
Linzhi Peng, Wentao Zhu, Ke Cheng, Heng Chang, Junchen Ye, Bowen Du, Weifeng Lv
2026UNSEEN: Enhancing Dataset Pruning from a Generalization Perspective.
Furui Xu, Shaobo Wang, Jiajun Zhang, Chenghao Sun, Haixiang Tang, Linfeng Zhang
2026UNeMo: Collaborative Visual-Language Reasoning and Navigation via a Multimodal World Model.
Changxin Huang, Lv Tang, Zhaohuan Zhan, Lisha Yu, Runhao Zeng, Zun Liu, Zhengjie Wang, Jianqiang Li
2026UQ-Bench: A Benchmark for Evaluating Multimodal LLMs on Underwater Image Quality Assessment.
Jingchao Cao, Guo An, Feng Gao, Ke Gu, Yutao Liu
2026UQ-ViT: Harmonizing Extreme Activations with Hardware-Friendly Uniform Quantization in Vision Transformers.
Tao Jiang, Yucheng Jiang, Xiwen Yao, Gong Cheng, Junwei Han
2026URPO: A Unified Reward & Policy Optimization Framework for Large Language Models.
Songshuo Lu, Hua Wang, Zhi Chen, Yaohua Tang
2026URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding.
Yongxin Shi, Jiapeng Wang, Zeyu Shan, Dezhi Peng, Zening Lin, Lianwen Jin
2026USE: A Unified Model for Universal Sound Separation and Extraction.
Hongyu Wang, Chenda Li, Xin Zhou, Shuai Wang, Yanmin Qian
2026USPR: Learning a Unified Solver for Profiled Routing.
Chuanbo Hua, Federico Berto, Zhikai Zhao, Jiwoo Son, Changhyun Kwon, Jinkyoo Park
2026UV-RGS: Relightable 3D Gaussian Splatting from Unposed Views Under Varied Illuminations.
Wei Feng, Chi Huang, Qi Zhang, Nan Li
2026UVLM: Benchmarking Video Language Model for Underwater World Understanding.
Xizhe Xue, Yang Zhou, Dawei Yan, Lijie Tao, Junjie Li, Ying Li, Haokui Zhang, Rong Xiao
2026UltraGen: High-Resolution Video Generation with Hierarchical Attention.
Teng Hu, Jiangning Zhang, Zihan Su, Ran Yi
2026Ultralight Polarity-Split Neuromorphic SNN for Event-Stream Super-Resolution.
Chuanzhi Xu, Haoxian Zhou, Langyi Chen, Yuk Ying Chung, Qiang Qu
2026Unaligned UAV RGBT Tracking: A Largescale Benchmark and a Novel Approach.
Yun Xiao, Yuhang Wang, Jiandong Jin, Wankang Zhang, Chenglong Li
2026Unbiased Rectification for Sequential Recommender Systems Under Fake Orders.
Qiyu Qin, Yichen Li, Haozhao Wang, Cheng Wang, Rui Zhang, Ruixuan Li
2026Uncertainty Quantification for Machine Learning: One Size Does Not Fit All.
Paul Hofman, Yusuf Sale, Eyke Hüllermeier
2026Uncertainty-Based Methods for Automated Process Reward Data Construction and Output Aggregation in Mathematical Reasoning.
Jiuzhou Han, Wray L. Buntine, Ehsan Shareghi
2026Uncertainty-Guided View-Strength-Aware Feature Utilization for Multi-View Classification.
Li Lv, Qian Guo, Li Zhang, Liang Du, Bingbing Jiang, Lu Chen, Xinyan Liang
2026Uncertainty-Propelled Physics-MAE Fusion for Self-Supervised Diffusion-Weighted Image Denoising.
Zeyu Deng, Lihui Wang, Xi Tao, Qijian Chen, Ying Cao, Xulin Hu, Yingfeng Ou
2026Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach.
Khadija Zanna, Akane Sano
2026Uncovering Hidden Degeneration: A Physics-Guided Bidirectional Inference Framework for Industrial Time Series Prediction.
Xingwang Li, Fei Teng, Xin Wu, Qiang Duan
2026Uncovering Pretraining Code in LLMs: A Syntax-Aware Attribution Approach.
Yuanheng Li, Zhuoyang Chen, Xiaoyun Liu, Yuhao Wang, Mingwei Liu, Yang Shi, Kaifeng Huang, Shengjie Zhao
2026Uncovering and Aligning Anomalous Attention Heads to Defend Against NLP Backdoor Attacks.
Haotian Jin, Yang Li, Haihui Fan, Lin Shen, Xiangfang Li, Bo Li
2026Uncovering and Mitigating Destructive Multi-Embedding Attacks in Deepfake Proactive Forensics.
Lixin Jia, Haiyang Sun, Zhiqing Guo, Yunfeng Diao, Dan Ma, Gaobo Yang
2026Uncovering and Mitigating Transient Blindness in Multimodal Model Editing.
Xiaoqi Han, Ru Li, Ran Yi, Hongye Tan, Zhuomin Liang, Víctor Gutiérrez-Basulto, Jeff Z. Pan
2026Under-Approximating Semantics in Clustered Assumption-Based Argumentation.
Iosif Apostolakis, Johannes P. Wallner
2026Understanding Dynamic Scenes in Ego Centric 4D Point Clouds.
Junsheng Huang, Shengyu Hao, Bocheng Hu, Hongwei Wang, Gaoang Wang
2026Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction.
Hang Yu, Yansen Yu, Jiayan Qiu
2026Understanding and Enhancing Differentiable Architecture Search from Information Bottleneck Perspective.
Haidong Kang, Lianbo Ma, Pengjun Chen, Qiang He, Bo Yi
2026Understanding the Effects of GenAI as No-Code Alternative for Teaching Machine Learning Workflows.
Martin Strobel
2026Understanding the Impact of Proportionality in Approval-Based Multiwinner Elections.
Niclas Boehmer, Lara Glessen, Jannik Peters
2026Understanding the Management of Rape Trauma with AI and Neuroimaging.
Samruddhi Kamble
2026UniABG: Unified Adversarial View Bridging and Graph Correspondence for Unsupervised Cross-View Geo-Localization.
Cuiqun Chen, Qi Chen, Bin Yang, Xingyi Zhang
2026UniAPO: Unified Multimodal Automated Prompt Optimization.
Qipeng Zhu, Yanzhe Chen, Huasong Zhong, Jie Chen, Yan Li, Zhixin Zhang, Junping Zhang, Zhenheng Yang
2026UniAlignment: Semantic Alignment for Unified Image Generation, Understanding, Manipulation and Perception.
Xinyang Song, Libin Wang, Weining Wang, Shaozhen Liu, Dandan Zheng, Jingdong Chen, Qi Li, Zhenan Sun
2026UniC-Lift: Unified 3D Instance Segmentation via Contrastive Learning.
Ankit Dhiman, R. Srinath, Jaswanth Reddy, Lokesh R. Boregowda, Venkatesh Babu Radhakrishnan
2026UniCUE: Unified Recognition and Generation Framework for Chinese Cued Speech Video-to-Speech Generation.
Jinting Wang, Shan Yang, Chenxing Li, Dong Yu, Li Liu
2026UniFit: Towards Universal Virtual Try-on with MLLM-Guided Semantic Alignment.
Wei Zhang, Yeying Jin, Xin Li, Yan Zhang, Xiaofeng Cong, Cong Wang, Fengcai Qiao, Zhichao Lian
2026UniHOI: Unified Human-Object Interaction Understanding via Unified Token Space.
Panqi Yang, Haodong Jing, Nanning Zheng, Yongqiang Ma
2026UniHR: Hierarchical Representation Learning for Unified Knowledge Graph Link Prediction.
Zhiqiang Liu, Yin Hua, Mingyang Chen, Yichi Zhang, Zhuo Chen, Lei Liang, Wen Zhang
2026UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning.
Tiancheng Gu, Kaicheng Yang, Kaichen Zhang, Xiang An, Ziyong Feng, Yueyi Zhang, Weidong Cai, Jiankang Deng, Lidong Bing
2026UniMGS: Unifying Mesh and 3D Gaussian Splatting with Single-Pass Rasterization and Proxy-Based Deformation.
Zeyu Xiao, Mingyang Sun, Yimin Cong, Lintao Wang, Dongliang Kou, Zhenyi Wu, Dingkang Yang, Peng Zhai, Zeyu Wang, Lihua Zhang
2026UniMM-V2X: MoE-Enhanced Multi-Level Fusion for End-to-End Cooperative Autonomous Driving.
Ziyi Song, Chen Xia, Chenbing Wang, Haibao Yu, Sheng Zhou, Zhisheng Niu
2026UniMapGen: A Generative Framework for Large-Scale Map Construction from Multi-modal Data.
Yujian Yuan, Changjie Wu, Xinyuan Chang, Sijin Wang, Hang Zhang, Shiyi Liang, Shuang Zeng, Mu Xu
2026UniMo: Unified Motion Generation and Understanding with Chain of Thought.
Guocun Wang, Kenkun Liu, Jing Lin, Guorui Song, Jian Li, Xiaoguang Han
2026UniScene-MoTion: Unified Scene & Motion-aware Diffusion Transition Framework.
Rui Jiang, Chongmian Wang, Xinghe Fu, Yehao Lu, Teng Li, Xi Li
2026UniSketch: A Unified Framework for Parametric Sketch Generation and Constraint Prediction.
Jing Lin, Fazhi He, Rubin Fan
2026UniVarFL: Uniformity and Variance Regularized Federated Learning for Heterogeneous Data (Student Abstract).
Sunny Gupta, Nikita Jangid, Amit Sethi
2026Unified Interaction Consistency Learning for Single-Source Domain-Generalized Object Detection in Urban Scene.
Peng Zhang, Xiang Yuan, Gong Cheng
2026Unified Minimax Optimization Framework for Propensity Score Estimation in Debiased Recommendation.
Chunyuan Zheng, Haocheng Yang, Jinkun Chen, Shufeng Zhang, Tianyu Xia
2026Unified Mixture-of-Experts Framework for Joint Cardiac and Vascular Ultrasound Analysis and Report Generation.
Bin Pu, Jiewen Yang, Xingguo Lv, Kai Xu, Kenli Li
2026Unified Representation Causal Prompt Distillation for Re-Inference-Free Lifelong Person Re-Identification.
Jiaqi Zhao, Jie Luo, Yong Zhou, Wen-Liang Du, Xixi Li, Rui Yao
2026Unified Structural Factors for Transfer Learning Generalization with PAC-Bayesian Guarantees.
Ziqi Gao
2026Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering.
Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang
2026Unifying Channel Independence and Mixing: Multi-Scale Patch Recursion for Global-Local Representation Synergy in Multivariate Time Series Forecasting.
Wenhao Zhang, Chun Zhang, Wei Bai, Ning Zhang, Changxia Gao, Yuxin Jia, Chenhao Shi, Shaoxiong Pang
2026Unifying Locality of KANs and Feature Drift Compensation Projection for Data-Free Replay Based Continual Face Forgery Detection.
Tianshuo Zhang, Siran Peng, Li Gao, Haoyuan Zhang, Xiangyu Zhu, Zhen Lei
2026Unifying Multi-View Knowledge for Graph Learning via Model Collaboration.
Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang
2026Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation.
Dongyoon Hahm, Taywon Min, Woogyeol Jin, Kimin Lee
2026Universal Adversarial Purification with DDIM Metric Loss for Stable Diffusion.
Li Zheng, Liangbin Xie, Jiantao Zhou, Yimin He
2026Universal Compressed Image Restoration via Codec-Aware Conditioning with Reinforcement Learning.
Changwoo Han, Hongil Kim, Donghyun Kim, Sung-Chang Lim, Seung-Won Jung
2026Universal EEG Epilepsy Detection via Evidential Multi-View De-Biasing.
Ziqi Wen, Cai Xu, Wanqing Zhao, Jie Zhao, Wei Zhao
2026Universal Learning of Stochastic Dynamics for Exact Belief Propagation Using Bernstein Normalizing Flows.
Peter Amorese, Morteza Lahijanian
2026Universal Safety Controllers with Learned Prophecies.
Bernd Finkbeiner, Niklas Metzger, Satya Prakash Nayak, Anne-Kathrin Schmuck
2026Unlearning in Cross-Modal Retrieval via Prior-Prototype Guided Partitioned Dampening.
Yi Lu, Shu Li, Yurong Qian
2026Unleashing Semantic and Geometric Priors for 3D Scene Completion.
Shiyuan Chen, Wei Sui, Bohao Zhang, Zeyd Boukhers, John See, Cong Yang
2026Unleashing the Potential of Large Language Models for Text-to-Image Generation Through Autoregressive Representation Alignment.
Xing Xie, Jiawei Liu, Ziyue Lin, Huijie Fan, Zhi Han, Yandong Tang, Liangqiong Qu
2026Unleashing the Power of Image-Tabular Self-Supervised Learning via Breaking Cross-Tabular Barriers.
Yibing Fu, Yunpeng Zhao, Zhitao Zeng, Cheng Chen, Yueming Jin
2026Unlocking Dynamic Inter-Client Spatial Dependencies: A Federated Spatio-temporal Graph Learning Method for Traffic Flow Forecasting.
Feng Wang, Tianxiang Chen, Shuyue Wei, Qian Chu, Yi Zhang, Yifan Sun, Zhiming Zheng
2026Unlocking Efficient Vehicle Dynamics Modeling via Analytic World Models.
Asen Nachkov, Danda Pani Paudel, Jan-Nico Zaech, Davide Scaramuzza, Luc Van Gool
2026Unlocking Multi-Modal Potentials for Link Prediction on Dynamic Text-Attributed Graphs.
Yuanyuan Xu, Wenjie Zhang, Ying Zhang, Xuemin Lin, Xiwei Xu
2026Unlocking the Power of Large Multimodal Models for Robot Learning: Robustness, Generalization, and Opportunities.
Mingyu Ding
2026Unnoticed Yet Effective: A Hybrid Physical Camouflage Framework Against DNNs and Human Perception.
Mingye Xie, Jiacheng Ruan, Xian Gao, Ting Liu, Yuzhuo Fu
2026Unpacking the Implicit Norm Dynamics of Sharpness-Aware Minimization in Tensorized Models.
Tianxiao Cao, Kyohei Atarashi, Hisashi Kashima
2026Unplugged Activities on Machine Learning and Their Evaluation Through Mental States Attribution.
Matteo Baldoni, Cristina Baroglio, Monica Bucciarelli, Sara Capecchi, Leonardo Castellani, Elena Gandolfi, Francesco Ianì, Elisa Marengo, Roberto Micalizio
2026Unreal-MAP: Unreal-Engine-Based General Platform for Multi-agent Reinforcement Learning.
Tianyi Hu, Qingxu Fu, Zhiqiang Pu, Yuan Wang, Tenghai Qiu
2026Unsupervised Combinatorial Probabilistic Reasoning: Probabilistic Coin Change Problem.
Zhongdi Qu, Yingheng Wang, Utku Umur Acikalin, Aaron M. Ferber, Goncalo J. Gouveia, Brandon Bills, Guohui Li, Joshua Kline, Sunandini Yedla, Xiao Wang, Frank C. Schroeder, Carla P. Gomes
2026Unsupervised Contrastive Learning for Efficient and Robust Spectral Shape Matching.
Feifan Luo, Hongyang Chen
2026Unsupervised Feature Selection Through Group Discovery.
Shira Lifshitz, Ofir Lindenbaum, Gal Mishne, Ron Meir, Hadas Benisty
2026Unsupervised Motion-Compensated Decomposition for Cardiac MRI Reconstruction via Neural Representation.
Xuanyu Tian, Lixuan Chen, Qing Wu, Xiao Wang, Jie Feng, Yuyao Zhang, Hongjiang Wei
2026Unsupervised Multi-Parameter Inverse Solving for Reducing Ring Artifacts in 3D X-Ray CBCT.
Qing Wu, Hongjiang Wei, Jingyi Yu, Yuyao Zhang
2026Unsupervised Multi-View Visual Anomaly Detection via Progressive Homography-Guided Alignment.
Xintao Chen, Xiaohao Xu, Bozhong Zheng, Yun Liu, Yingna Wu
2026Unsupervised Semantic Discovery via Global and Local Semantic Alignment in Multimodal Clustering.
Zhengzhong Zhu, Pei Zhou, Weihong Du, Shiquan Min, Jiangping Zhu
2026Unsupervised Single-Channel Audio Separation with Diffusion Source Priors.
Runwu Shi, Chang Li, Jiang Wang, Rui Zhang, Nabeela Khan, Benjamin Yen, Takeshi Ashizawa, Kazuhiro Nakadai
2026Unveiling AI Safety in Fine-tuning Quantized Model.
Hai Le
2026Unveiling the Attribute Misbinding Threat in Identity-Preserving Models.
Junming Fu, Jishen Zeng, Yi Jiang, Peiyu Zhuang, Baoying Chen, Siyu Lu, Jianquan Yang
2026Unveiling the Fragility of Vision-Language Models: Multi-Modal Adversarial Synergy via Texture-Constrained Perturbations and Cross-Modal Optimization.
Xiang Fang, Wanlong Fang, Changshuo Wang
2026Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning.
Zhuang Chen, Guanqun Bi, Wen Zhang, Jiawei Hu, Aoyun Wang, Xiyao Xiao, Kun Feng, Minlie Huang
2026Uplift Modeling with Delayed Feedback: Identifiability and Algorithms.
Chunyuan Zheng, Anpeng Wu, Chuan Zhou, Taojun Hu, Qingying Chen, Hongyi Liu, Chenxi Li, Huiyou Jiang, Haoxuan Li, Zhouchen Lin
2026Urban Incident Prediction with Graph Neural Networks: Integrating Government Ratings and Crowdsourced Reports.
Sidhika Balachandar, Shuvom Sadhuka, Bonnie Berger, Emma Pierson, Nikhil Garg
2026UrbanNav: Learning Language-Guided Embodied Urban Navigation from Web-Scale Human Trajectories.
Yanghong Mei, Yirong Yang, Longteng Guo, Qunbo Wang, Ming-Ming Yu, Xingjian He, Wenjun Wu, Jing Liu
2026UrbanPG: An Efficient Framework with Personalized Context and General Backbone Interaction for Urban Spatio-Temporal Learning.
Aoyu Liu, Yaying Zhang
2026Using Certifying Constraint Solvers for Generating Step-wise Explanations.
Ignace Bleukx, Maarten Flippo, Bart Bogaerts, Emir Demirovic, Tias Guns
2026Using Constraint Solvers to Construct Binary Codes with Good Error Correction Performance.
Stepan Kochemazov, Oleg Zaikin, Grigorii Trofimiuk, Kirill Antonov, Alexander A. Semenov
2026Utilitarian Guarantees for the Method of Equal Shares.
Anton Baychkov, Markus Brill, Jannik Peters
2026V-Pruner: A Fast and Globally-informed Token Pruning Framework for Vision Transformer.
Guangzhen Yao, Jiayun Zheng, Zezhou Wang, Wenxin Zhang, Renda Han, Chuangxin Zhao, Zeyu Zhang, Runhao Liu
2026V2VLoc: Robust GNSS-Free Collaborative Perception via LiDAR Localization.
Wenkai Lin, Qiming Xia, Wen Li, Xun Huang, Chenglu Wen
2026VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling.
Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang
2026VAGU & GtS: LLM-Based Benchmark and Framework for Joint Video Anomaly Grounding and Understanding.
Shibo Gao, Peipei Yang, Yangyang Liu, Yi Chen, Han Zhu, Xu-Yao Zhang, Linlin Huang
2026VALIANT: Prompt Instability for Active Learning in Black-Box Medical Imaging.
Dwarikanath Mahapatra, Behzad Bozorgtabar, Sudipta Roy, Imran Razzak, Mauricio Reyes
2026VBF++: Variational Bayesian Fusion with Context-Aware Priors and Recommendation-Guided Adversarial Refinement for Multimodal Video Recommendation.
Ziyi Cao, Rui Liu, Yong Chen
2026VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models.
Guoqing Chen, Fu Zhang, Bingqian Liu, Chenglong Lu, Jingwei Cheng
2026VCapsBench: A Large-scale Fine-grained Benchmark for Video Caption Quality Evaluation.
Shi-Xue Zhang, Hongfa Wang, Duojun Huang, Xin Li, Xiaobin Zhu, Xu-Cheng Yin
2026VEDA: Generation of 3D Molecules via Variance-Exploding Diffusion with Annealing.
Peining Zhang, Jinbo Bi, Minghu Song
2026VFCionX: Bridging Large and Small Models for Robust Vulnerability-Fixing Commit Identification.
Xing Cui, Jingzheng Wu, Wenxiang Ou, Tianyue Luo, Zhiyuan Li, Xiang Ling
2026VGD: Value-Guided Diffusion Toward High-Utility Medical Image Segmentation.
Hongyu Zhang, Haipeng Chen, Chengxin Yang, Yingda Lyu
2026VGGS: VGGT-guided Gaussian Splatting for Efficient and Faithful Sparse-View Surface Reconstruction.
Peng Xiang, Liang Han, Hui Zhang, Yu-Shen Liu, Zhizhong Han
2026VGGTFace: Topologically Consistent Facial Geometry Reconstruction in the Wild.
Xin Ming, Yuxuan Han, Tianyu Huang, Feng Xu
2026VIL2C: Value-of-Information Aware Low-Latency Communication for Multi-Agent Reinforcement Learning.
Qian Zhang, Zhuo Sun, Yao Zhang, Zhiwen Yu, Bin Guo, Jun Zhang
2026VILTA: A VLM-in-the-Loop Adversary for Enhancing Driving Policy Robustness.
Qimao Chen, Fang Li, Shaoqing Xu, Zhiyi Lai, Zixun Xie, Yuechen Luo, Shengyin Jiang, Hanbing Li, Long Chen, Bing Wang, Yi Zhang, Zhi-xin Yang
2026VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction.
Hao Wang, Eiki Murata, Lingfang Zhang, Ayako Sato, So Fukuda, Ziqi Yin, Wentao Hu, Keisuke Nakao, Yusuke Nakamura, Sebastian Zwirner, Yi-Chia Chen, Hiroyuki Otomo, Hiroki Ouchi, Daisuke Kawahara
2026VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting.
Adib Hasan, Mardavij Roozbehani, Munther A. Dahleh
2026VK-Det: Visual Knowledge Guided Prototype Learning for Open-Vocabulary Aerial Object Detection.
Jianhang Yao, Yongbin Zheng, Siqi Lu, Wanying Xu, Peng Sun
2026VLA-Adapter: An Effective Paradigm for Tiny-Scale Vision-Language-Action Model.
Yihao Wang, Pengxiang Ding, Lingxiao Li, Can Cui, Zirui Ge, Xinyang Tong, Wenxuan Song, Han Zhao, Wei Zhao, Pengxu Hou, Siteng Huang, Yifan Tang, Wenhui Wang, Ru Zhang, Jianyi Liu, Donglin Wang
2026VLHSA: Vision-Language Hierarchical Semantic Alignment for Jigsaw Puzzle Solving with Eroded Gaps (Student Abstract).
Xinyan Liu, Zhuoning Xu
2026VMChill: A Dataset for Fine-Grained Visual-Musical Synergy.
Xiaowei Chi, Zeyue Tian, Jialiang Chen, Wei Xue
2026VORTEX: Aligning Task Utility and Human Preferences Through LLM-Guided Reward Shaping.
Guojun Xiong, Milind Tambe
2026VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models.
Mingjie Xu, Jinpeng Chen, Yuzhi Zhao, Jason Chun Lok Li, Yue Qiu, Zekang Du, Mengyang Wu, Pingping Zhang, Kun Li, Hongzheng Yang, Wenao Ma, Jiaheng Wei, Qinbin Li, Kangcheng Liu, Wenqiang Lei
2026VPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation.
Jun Zhou, Chi Xu, Kaifeng Tang, Yuting Ge, Tingrui Guo, Li Cheng
2026VPN: Visual Prompt Navigation.
Shuo Feng, Zihan Wang, Yuchen Li, Rui Kong, Hengyi Cai, Shuaiqiang Wang, Gim Hee Lee, Piji Li, Shuqiang Jiang
2026VPSentry: Semi-supervised Video Polyp Segmentation via Sentry-guided Long-term Prototype Fusion with Correlation Dynamic Propagation.
Guilian Chen, Xiaoling Luo, Huisi Wu, Jing Qin
2026VQ-Insight: Teaching VLMs for AI-Generated Video Quality Understanding via Progressive Visual Reinforcement Learning.
Xuanyu Zhang, Weiqi Li, Shijie Zhao, Junlin Li, Li Zhang, Jian Zhang
2026VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning.
Linhan Cao, Wei Sun, Weixia Zhang, Xiangyang Zhu, Jun Jia, Kaiwei Zhang, Dandan Zhu, Guangtao Zhai, Xiongkuo Min
2026VRAgent-R1: Boosting Video Recommendation with MLLM-based Agents via Reinforcement Learning.
Siran Chen, Boyu Chen, Yuxiao Luo, Chenyun Yu, Yi Ouyang, Lei Cheng, Chengxiang Zhuo, Zang Li, Yali Wang
2026VSPO: Validating Semantic Pitfalls in Ontology via LLM-Based CQ Generation.
Hyojun Choi, Seokju Hwang, Kyong-Ho Lee
2026VTD-CLIP: Video-to-Text Discretization via Prompting CLIP.
Wencheng Zhu, Yuexin Wang, Hongxuan Li, Pengfei Zhu
2026VTinker: Guided Flow Upsampling and Texture Mapping for High-Resolution Video Frame Interpolation.
Chenyang Wu, Jiayi Fu, Chun-Le Guo, Shuhao Han, Chongyi Li
2026VaccineRAG: Boosting Multimodal Large Language Models' Immunity to Harmful RAG Samples.
Qixin Sun, Ziqin Wang, Hengyuan Zhao, Yilin Li, Kaiyou Song, Si Liu, Xiaolin Hu, Qingpei Guo, Linjiang Huang
2026Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation.
Xin Zhao, Xiaojun Chen, Bingshan Liu, Zeyao Liu, Zhendong Zhao, Xiaoyan Gu
2026Value-Driven Memory-Augmented Generation for Agentic LLMs: Towards Structured and Adaptive Knowledge Utilization.
Cassandra Hui-Ming Tan
2026Variance Computation for Weighted Model Counting with Knowledge Compilation Approach.
Kengo Nakamura, Masaaki Nishino, Norihito Yasuda
2026Variance Reduction via Resampling and Experience Replay.
Jiale Han, Xiaowu Dai, Yuhua Zhu
2026Variation-Bounded Loss for Noise-Tolerant Learning.
Jialiang Wang, Xiong Zhou, Xianming Liu, Gangfeng Hu, Deming Zhai, Junjun Jiang, Haoliang Li
2026Variational OOD State Correction for Offline Reinforcement Learning.
Ke Jiang, Wen Jiang, Xiaoyang Tan
2026VasoMIM: Vascular Anatomy-Aware Masked Image Modeling for Vessel Segmentation.
De-Xing Huang, Xiao-Hu Zhou, Mei-Jiang Gui, Xiao-Liang Xie, Shi-Qi Liu, Shuang-Yi Wang, Tian-Yu Xiang, Rui-Ze Ma, Nu-Fang Xiao, Zeng-Guang Hou
2026Veli: Unsupervised Method and Unified Benchmark for Low-Cost Air Quality Sensor Correction.
Yahia Dalbah, Marcel Worring, Yen-Chia Hsu
2026Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning.
Bin Hu, Jingling Yuan, Jiawei Jiang, Chuang Hu
2026Verb Mirage: Unveiling and Assessing Verb Concept Hallucinations in Multimodal Large Language Models.
Zehao Wang, Xinpeng Liu, Yudonglin Zhang, Xiaoqian Wu, Zhou Fang, Yifan Fang, Junfu Pu, Cewu Lu, Yong-Lu Li
2026VeriFlow: Modeling Distributions for Neural Network Verification.
Faried Abu Zaid, Daniel Neider, Mustafa Yalçiner
2026VerifyBench: A Systematic Benchmark for Evaluating Reasoning Verifiers Across Domains.
Xuzhao Li, Xuchen Li, Shiyu Hu, Yongzhen Guo, Wentao Zhang
2026Versatile Vision-Language Model for 3D Computed Tomography.
Jiayu Lei, Ziqing Fan, Yanyong Zhang, Weidi Xie, Ya Zhang, Yanfeng Wang
2026ViCToR: Improving Visual Comprehension via Token Reconstruction for Pretraining LMMs.
Yin Xie, Kaicheng Yang, Peirou Liang, Xiang An, Yongle Zhao, Yumeng Wang, Ziyong Feng, Roy Miles, Ismail Elezi, Jiankang Deng
2026ViDia2Std: A Parallel Corpus and Methods for Low-Resource Vietnamese Dialect-to-Standard Translation.
Khoa Anh Ta, Nguyen Van Dinh, Kiet Van Nguyen
2026ViG-RAG: Video-aware Graph Retrieval-Augmented Generation via Temporal and Semantic Hybrid Reasoning.
Zongsheng Cao, Anran Liu, Yangfan He, Jing Li, Bo Zhang, Zigan Wang
2026ViTCoP: Accelerating Large Vision-Language Models via Visual and Textual Semantic Collaborative Pruning.
Wen Luo, Peng Chen, Xiaotao Huang, Liqun Huang
2026ViTE: Virtual Graph Trajectory Expert Router for Pedestrian Trajectory Prediction.
Ruochen Li, Zhanxing Zhu, Tanqiu Qiao, Hubert P. H. Shum
2026ViType: High-Fidelity Visual Text Rendering via Glyph-Aware Multimodal Diffusion.
Lishuai Gao, Jun-Yan He, Yingsen Zeng, Yujie Zhong, Xiaopeng Sun, Jie Hu, Zan Gao, Xiaoming Wei
2026Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry.
Junyoung Seo, Jisang Han, Jaewoo Jung, Siyoon Jin, Joungbin Lee, Takuya Narihira, Kazumi Fukuda, Takashi Shibuya, Donghoon Ahn, Shoukang Hu, Seungryong Kim, Yuki Mitsufuji
2026Video Echoed in Music: Semantic, Temporal, and Rhythmic Alignment for Video-to-Music Generation.
Xinyi Tong, Yiran Zhu, Jishang Chen, Chunru Zhan, Tianle Wang, Sirui Zhang, Nian Liu, Tiezheng Ge, Duo Xu, Xin Jin, Feng Yu, Song-Chun Zhu
2026Video Mirror Detection with the Motion-in-Depth Cue.
Alex Warren, Ke Xu, Xin Tian, Gary K. L. Tam, Benjamin W. Wah, Rynson W. H. Lau
2026Video SimpleQA: Towards Factuality Evaluation in Large Video Language Models.
Meng Cao, Pengfei Hu, Yingyao Wang, Jihao Gu, Haoran Tang, Haoze Zhao, Chen Wang, Jiahua Dong, Wangbo Yu, Ge Zhang, Xiang Li, Ian Reid, Xiaodan Liang
2026Video Spatial Reasoning with Object-Centric 3D Rollout.
Haoran Tang, Meng Cao, Ruyang Liu, Xiaoxi Liang, Linglong Li, Ge Li, Xiaodan Liang
2026VideoChat-A1: Thinking with Long Videos by Chain-of-Shot Reasoning.
Zikang Wang, Boyu Chen, Zhengrong Yue, Yi Wang, Yu Qiao, Limin Wang, Yali Wang
2026VideoSeg-R1: Reasoning Video Object Segmentation via Reinforcement Learning.
Zishan Xu, Yifu Guo, Yuquan Lu, Fengyu Yang, Junxin Li, Lihua Cai
2026VietCheckMed: Explainable Regulatory Compliance Checking for Medical Advertisements on Vietnamese Social Media.
Nguyen Thanh Tam, Khanh Quoc Tran, Dat Thanh Pham, Truong Phu Le, Nguyen Hoang Gia Han, Binh T. Nguyen
2026View-on-Graph: Zero-Shot 3D Visual Grounding via Vision-Language Reasoning on Scene Graphs.
Yuanyuan Liu, Haiyang Mei, Dongyang Zhan, Jiayue Zhao, Dongsheng Zhou, Bo Dong, Xin Yang
2026Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering.
Shuaiyu Liu, Song Wu, Jie Xu, Yazhou Ren, Yang Yang, Xiaorong Pu, Guoyin Wang
2026VipAct: Visual-Perception Enhancement via Specialized VLM Agent Collaboration and Tool-use.
Zhehao Zhang, Ryan A. Rossi, Tong Yu, Franck Dernoncourt, Ruiyi Zhang, Jiuxiang Gu, Sungchul Kim, Xiang Chen, Zichao Wang, Nedim Lipka
2026Virtual Multiplex Staining for Histological Images Using a Marker-Wise Conditioned Diffusion Model.
Hyun-Jic Oh, Junsik Kim, Zhiyi Shi, Yichen Wu, Yu-An Chen, Peter K. Sorger, Hanspeter Pfister, Won-Ki Jeong
2026VirtualEnv: A Platform for Embodied AI Research.
Kabir Swain, Sijie Han, Ayush Raina, Jin Zhang, Shuang Li, Michael Stopa, Antonio Torralba
2026VisAssist: A Visually Impaired-Captured Video Question Answering Benchmark for Assistive Systems.
Qi Gao, Heng Li, Yixin Zhou, Meixuan Zhou, Jieqiong Chen, Xinyu Chai
2026Vision Transformers Are Circulant Attention Learners.
Dongchen Han, Tianyu Li, Ziyi Wang, Gao Huang
2026Vision-G1: Towards General Reasoning Vision-Language Models via Reinforcement Learning.
Yuheng Zha, Kun Zhou, Yujia Wu, Yushu Wang, Jie Feng, Zhi Xu, Shibo Hao, Zhengzhong Liu, Eric P. Xing, Zhiting Hu
2026Vision-Language Models Guided Graph Concept Reasoning for Interpretable Diabetic Retinopathy Diagnosis.
Qihao Xu, Xiaoling Luo, Yuxin Lin, Chengliang Liu, Yongting Hu, Jinkai Li, Xinheng Lyu, Yong Xu
2026Vision-Language Reasoning for Geolocalization: A Reinforcement Learning Approach.
Biao Wu, Meng Fang, Ling Chen, Ke Xu, Tao Cheng, Jun Wang
2026Vision-MoR: Scaling Vision Transformer via Patch-Level Mixture-of-Recursions.
Yunhong He, Zhengqing Yuan, Weixiang Sun, Yiyang Li, Yixin Liu, Yanfang Ye, Lichao Sun
2026Vision-Only Gaussian Splatting for Collaborative Semantic Occupancy Prediction.
Cheng Chen, Hao Huang, Saurabh Bagchi
2026Vision-language Incremental Learning with Dual Class-individual Memory.
Fuhai Chen, Feng Zhang, Xiaoguang Ma, Yiyi Zhou, Jiarong Liu, Xuri Ge
2026VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation.
Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Dan Zhang, Ming Ding, Xiaohan Zhang, Shiyu Huang, Xiaotao Gu, Minlie Huang, Jie Tang, Yuxiao Dong
2026Vista: Scene-Aware Optimization for Streaming Video Question Answering Under Post-Hoc Queries.
Haocheng Lu, Nan Zhang, Wei Tao, Xiaoyang Qu, Guokuan Li, Jiguang Wan, Jianzong Wang
2026Visual Bridge: Universal Visual Perception Representations Generating.
Yilin Gao, Shuguang Dou, Junzhou Li, Zhiheng Yu, Yin Li, Dongsheng Jiang, Shugong Xu
2026Visual-Friendly Concept Protection via Selective Adversarial Perturbations.
Xiaoyue Mi, Fan Tang, You Wu, Juan Cao, Peng Li, Yang Liu
2026VitalDiagnosis: AI-Driven Ecosystem for 24/7 Vital Monitoring and Chronic Disease Management.
Zhikai Xue, Tianqianjin Lin, Pengwei Yan, Ruichun Wang, Yuxin Liu, Zhuoren Jiang, Xiaozhong Liu
2026VividListener: Expressive and Controllable Listener Dynamics Modeling for Multi-Modal Responsive Interaction.
Shiying Li, Xingqun Qi, Bingkun Yang, Weile Chen, Zezhao Tian, Muyi Sun, Qifeng Liu, Man Zhang, Zhenan Sun
2026VoiceCloak: A Multi-Dimensional Defense Framework Against Unauthorized Diffusion-Based Voice Cloning.
Qianyue Hu, Junyan Wu, Wei Lu, Xiangyang Luo
2026Voices, Faces, and Feelings: Multi-modal Emotion-Cognition Captioning for Mental Health Understanding.
Zhiyuan Zhou, Yanrong Guo, Shijie Hao
2026Voting in Divisible Settings: A Survey.
Warut Suksompong, Nicholas Teh
2026VulnBench: A Comprehensive Benchmark for Transformer-Based Vulnerability Detection.
Jake Norton, David M. Eyers, Veronica Liesaputra
2026Vulnerability-Aware Robust Multimodal Adversarial Training.
Junrui Zhang, Xinyu Zhao, Jie Peng, Chenjie Wang, Jianmin Ji, Tianlong Chen
2026W2S-AlignTree: Weak-to-Strong Inference-Time Alignment for Large Language Models via Monte Carlo Tree Search.
Zhenyu Ding, Yuhao Wang, Tengyue Xiao, Haoying Wang, Guojun Ma, Mingyang Wan, Caigui Jiang, Ning Ding
2026WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety.
Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu, Zihan Chen, Zhonghao Sun, Minlie Huang, Dongsheng Li
2026WDT-MD: Wavelet Diffusion Transformers for Microaneurysm Detection in Fundus Images.
Yifei Sun, Yuzhi He, Junhao Jia, Jinhong Wang, Ruiquan Ge, Changmiao Wang, Hongxia Xu
2026WIET: Harmonizing Group-aware Model Weighting and Worker Allocation for Ensemble Temporal Prediction MaaS.
Binbin Feng, Shikun He, Yingxin Wang, Pengwei Wang, Xiang Gao, Zhijun Ding
2026WRitEer: A Multi-Objective, Preference-Driven Multi-Agent Framework for Human-Like Advanced Text Generation.
Junchuan Yu, Yuyang Sun
2026Walk Before You Dance: High-fidelity and Editable Dance Synthesis via Generative Masked Motion Prior.
Foram Niravbhai Shah, Parshwa Shah, Muhammad Usama Saleem, Ekkasit Pinyoanuntapong, Pu Wang, Hongfei Xue, Ahmed Helmy
2026Walking Further: Semantic-Aware Multimodal Gait Recognition Under Long-Range Conditions.
Zhiyang Lu, Wen Jiang, Tianren Wu, Zhichao Wang, Changwang Zhang, Siqi Shen, Ming Cheng
2026Wasserstein-Aligned Hyperbolic Multi-View Clustering.
Rui Wang, Yuting Jiang, Xiaoqing Luo, Xiao-Jun Wu, Nicu Sebe, Ziheng Chen
2026Wasserstein-Aware Transfer: Class-Level Alignment for Robust Diffusion Model Adaptation.
Zixian Huang, Chuan-Xian Ren
2026WaterMod: Modular Token-Rank Partitioning for Probability-Balanced LLM Watermarking.
Shinwoo Park, Hyejin Park, Hyeseon Ahn, Yo-Sub Han
2026WaveC2R: Wavelet-Driven Coarse-to-Refined Hierarchical Learning for Radar Retrieval.
Chunlei Shi, Han Xu, Yinghao Li, Yi-Lin Wei, Yongchao Feng, Yecheng Zhang, Dan Niu
2026WaveDiST: A Wavelet Diffusion Transformer for Spatio-Temporal Estimation on Unobserved Locations.
Huiling Qin, Yuanxun Li, Weijia Jia
2026WaveEx: Accelerating Flow Matching-based Speech Generation via Wavelet-guided Extrapolation.
Xiaoqian Liu, Xiyan Gui, Zhengkun Ge, Yuan Ge, Chang Zou, Jiacheng Liu, Zhikang Niu, Qixi Zheng, Chen Xu, Xie Chen, Tong Xiao, Jingbo Zhu, Linfeng Zhang
2026WaveFormer: Frequency-Time Decoupled Vision Modeling with Wave Equation.
Zishan Shu, Juntong Wu, Wei Yan, Xudong Liu, Hongyu Zhang, Chang Liu, Youdong Mao, Jie Chen
2026Wavefront-Constrained Passive Obscured Object Detection.
Zhiwen Zheng, Yiwei Ouyang, Zhao Huang, Tao Zhang, Xiaoshuai Zhang, Huiyu Zhou, Wenwen Tang, Shaowei Jiang, Jin Liu, Xingru Huang
2026Wavelet Enhanced Adaptive Frequency Filter for Sequential Recommendation.
Huayang Xu, Huanhuan Yuan, Guanfeng Liu, Junhua Fang, Lei Zhao, Pengpeng Zhao
2026Weakest Bidder Types and New Core-Selecting Combinatorial Auctions.
Siddharth Prasad, Maria-Florina Balcan, Tuomas Sandholm
2026Weakly-Supervised Image Forgery Localization via Vision-Language Collaborative Reasoning Framework.
Ziqi Sheng, Junyan Wu, Wei Lu, Jiantao Zhou
2026Wearable Intelligence for Healthcare Robotics: From Brain Activity to Body Movements.
Jiankai Sun
2026Weather-Robust LiDAR Perception: Point Cloud Restoration from Adverse Weather.
Chenghao Sun, Pengpeng Sun, Xiangmo Zhao
2026WeatherEdit: Controllable Weather Editing with 4D Gaussian Field.
Chenghao Qian, Wenjing Li, Yuhu Guo, Gustav Markkula
2026Weight Entropy-Maximised Evidential Metamodel for Uncertainty Quantification (Student Abstract).
Gouranga Bala, Abhimanyu Chauhan, Amit Sethi
2026WeightFlow: Learning Stochastic Dynamics via Evolving Weight of Neural Network.
Ruikun Li, Jiazhen Liu, Huandong Wang, Qingmin Liao, Yong Li
2026Well Begun, Half Done: Reinforcement Learning with Prefix Optimization for LLM Reasoning.
Yiliu Sun, Zicheng Zhao, Yang Wei, Yanfang Zhang, Chen Gong
2026WenetSpeech-Yue: A Large-Scale Cantonese Speech Corpus with Multi-dimensional Annotation.
Longhao Li, Zhao Guo, Hongjie Chen, Yuhang Dai, Ziyu Zhang, Hongfei Xue, Tianlun Zuo, Chengyou Wang, Shuiyuan Wang, Xin Xu, Hui Bu, Jie Li, Jian Kang, Binbin Zhang, Ruibin Yuan, Ziya Zhou, Wei Xue, Lei Xie
2026What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets.
Marco Antonio Stranisci, Christian Hardmeier
2026What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment.
Rishab Parthasarathy, Jasmine Collins, Cory Stephenson
2026What Makes a Good Speech Tokenizer for LLM-Centric Speech Generation? A Systematic Study.
Xiaoran Fan, Zhichao Sun, Yangfan Gao, Jingfei Xiong, Hang Yan, Yifei Cao, Jiajun Sun, Shuo Li, Zhihao Zhang, Zhiheng Xi, Yuhao Zhou, Senjie Jin, Changhao Jiang, Junjie Ye, Ming Zhang, Rui Zheng, Zhenhua Han, Yunke Zhang, Demei Yan, Shaokang Dong, Tao Ji, Tao Gui
2026What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting.
Joshua Caiata, Ben Armstrong, Kate Larson
2026What You See Is What You Reach: Towards Spatial Navigation with High-Level Human Instructions.
Lingfeng Zhang, Haoxiang Fu, Xiaoshuai Hao, Shuyi Zhang, Qiang Zhang, Rui Liu, Long Chen, Wenbo Ding
2026What to Ask Next? Probing the Imaginative Reasoning of LLMs with TurtleSoup Puzzles.
Mengtao Zhou, Sifan Wu, Huan Zhang, Qi Sima, Bang Liu
2026What to Trust? A Trust-aware Knowledge-guided Method for Zero-shot Object State Understanding in Videos.
Yayun Qi, Xinxiao Wu
2026What, Whether and How? Unveiling Process Reward Models for Thinking with Images Reasoning.
Yujin Zhou, Pengcheng Wen, JiaLe Chen, Boqin Yin, Han Zhu, Jiaming Ji, Juntao Dai, Chi-Min Chan, Sirui Han
2026What-Meets-Where: Unified Learning of Action and Contact Localization in Images.
Yuxiao Wang, Yu Lei, Wolin Liang, Weiying Xue, Zhenao Wei, Nan Zhuang, Qi Liu
2026When AI Meets AI: A Game-Theoretic Defense Framework Against AI Empowered Cyber Threats.
Xinyu Li
2026When Equal Isn't Fair: Mitigating Over-Normalization in Large Language Models (Student Abstract).
Ravada Satyadev, Aditya Ganesh Kumar, Avinash Anand, Rajiv Ratn Shah, Zhengkui Wang, Mukesh Prasad
2026When Eyes and Ears Disagree: Can MLLMs Discern Audio-Visual Confusion?
Qilang Ye, Wei Zeng, Meng Liu, Jie Zhang, Yupeng Hu, Zitong Yu, Yu Zhou
2026When Genes Speak: A Semantic-Guided Framework for Spatially Resolved Transcriptomics Data Clustering.
Jiangkai Long, Yanran Zhu, Chang Tang, Kun Sun, Yuanyuan Liu, Xuesong Yan
2026When Human Preferences Flip: An Instance-Dependent Robust Loss for RLHF.
Yifan Xu, Xichen Ye, Yifan Chen, Qiaosheng Zhang
2026When Instinct Guides and Insight Grounds: Staged RL Training for LLM Agents.
Zijing Zhang, Boning Zhang
2026When Natural Strategies Meet Fuzziness and Resource-Bounded Actions.
Marco Aruta, Francesco Improta, Vadim Malvone, Aniello Murano
2026When Person Re-Identification Meets Event Camera: A Benchmark Dataset and an Attribute-Guided Re-Identification Framework.
Xiao Wang, Qian Zhu, Shujuan Wu, Bo Jiang, Shiliang Zhang
2026When Privacy Meets Recovery: The Overlooked Half of Surrogate-Driven Privacy Preservation for MLLM Editing.
Siyuan Xu, Yibing Liu, Peilin Chen, Yung-Hui Li, Shiqi Wang, Sam Kwong
2026When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents.
Haotian Deng, Sitian Wang, Ruxin Wang, Chen Wei, Quanying Liu
2026When Reasoning Collapses: A Depth-Aware Probe into LLM Reasoning (Student Abstract).
Azka Ikramullah, Abdul Majeed, Kyunghyun Lee, Seong Oun Hwang
2026When Safe Unimodal Inputs Collide: Optimizing Reasoning Chains for Cross-Modal Safety in Multimodal Large Language Models.
Wei Cai, Shujuan Liu, Jian Zhao, Ziyan Shi, Yusheng Zhao, Yuchen Yuan, Tianle Zhang, Chi Zhang, Xuelong Li
2026When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity.
Shiyao Cui, Xijia Feng, Yingkang Wang, Junxiao Yang, Zhexin Zhang, Biplab Sikdar, Hongning Wang, Han Qiu, Minlie Huang
2026When Top-ranked Recommendations Fail: Modeling Multi-Granular Negative Feedback for Explainable and Robust Video Recommendation.
Siran Chen, Boyu Chen, Chenyun Yu, Yi Ouyang, Lei Cheng, Chengxiang Zhuo, Zang Li, Yali Wang
2026When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking.
Weiran Li, Yeqiang Liu, Qiannan Guo, Yijie Wei, Hwa Liang Leo, Zhenbo Li
2026When Truth Is Overridden: Uncovering the Internal Origins of Sycophancy in Large Language Models.
Keyu Wang, Jin Li, Shu Yang, Zhuoran Zhang, Di Wang
2026When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital.
Avni Kothari, Patrick Vossler, Jean Digitale, Mohammad Forouzannia, Elise Rosenberg, Michele Lee, Jennee Bryant, Melanie F. Molina, James Marks, Lucas Zier, Jean Feng
2026Where It Moves, It Matters: Referring Surgical Instrument Segmentation via Motion.
Meng Wei, Kun Yuan, Shi Li, Yue Zhou, Long Bai, Nassir Navab, Hongliang Ren, Hong Joo Lee, Tom Vercauteren, Nicolas Padoy
2026Where Norms and References Collide: Evaluating LLMs on Normative Reasoning.
Mitchell Abrams, Kaveh Eskandari Miandoab, Felix Gervits, Vasanth Sarathy, Matthias Scheutz
2026Where and What Matters: Sensitivity-Aware Task Vectors for Many-Shot Multimodal In-Context Learning.
Ziyu Ma, Chenhui Gou, Yiming Hu, Yong Wang, Bohan Zhuang, Jianfei Cai
2026Where to Start Alignment? Diffusion Large Language Model May Demand a Distinct Position.
Zhixin Xie, Xurui Song, Jun Luo
2026WhisperDiari: A Whisper-Based Speaker Diarization Framework in Token Space Leveraging Semantic and Speaker Information for Better Text Adaptability.
Yongkang Yin, Yuexian Zou
2026Whispering Agents: A Event-Driven Covert Communication Protocol for the Internet of Agents.
Kaibo Huang, Yukun Wei, WanSheng Wu, Tianhua Zhang, Zhongliang Yang, Linna Zhou
2026Who Is Helping Whom? Analyzing Inter-Dependencies to Evaluate Cooperation in Human-AI Teaming.
Upasana Biswas, Vardhan Palod, Siddhant Bhambri, Subbarao Kambhampati
2026Who Is a Better Matchmaker? Human vs. Algorithmic Judge Assignment in a High-Stakes Startup Competition.
Yang Xi, Orelia Pi, Miaomiao Zhang, Rebecca Xiong, Jacqueline Ng Lane, Nihar B. Shah
2026Who Should I Trust? Explicit Confidence-Focused Multimodal Intent Recognition.
Yi Liu, Qimeng Yang, Lanlan Lu
2026Whole-Body Coordination for Dynamic Object Grasping with Legged Manipulators.
Qiwei Liang, Boyang Cai, Rongyi He, Hui Li, Tao Teng, Haihan Duan, Changxin Huang, Runhao Zeng
2026Whole-Field Action Sensing via Wearable Single-Channel EMG Sensors and Resource-Efficient Motion Network.
Xuanming Jiang, Dingyu Nie, Baoyi An, Yuzhe Zheng, Yichuan Mao, Jialie Shen, Xueming Qian, Zhiwen Jin, Wei Lan, Guoshuai Zhao
2026Why Do Open-Source LLMs Struggle with Data Analysis? A Systematic Empirical Study.
Yuqi Zhu, Yi Zhong, Jintian Zhang, Ziheng Zhang, Shuofei Qiao, Yujie Luo, Lun Du, Da Zheng, Ningyu Zhang, Huajun Chen
2026Why Isn't Relational Learning Taking Over the World?
David Poole
2026Wi-CBR: Salient-aware Adaptive WiFi Sensing for Cross-domain Behavior Recognition.
Ruobei Zhang, Shengeng Tang, Huan Yan, Xiang Zhang, Jiabao Guo
2026Wikatoni: An Agentic AI System for Energy Engineering Workflows.
Sampath Rajapaksha, Nirmalie Wiratunga, Ikechukwu Nkisi-Orji, Tim Clarke, Fraser Kerr
2026WikiMAG: A Multi-Agent Guided Framework for Generating Structured Wikipedia-like Articles.
Xiuli Kang, Yinlong Xiao, Minghao Hu, Yuan Huang, Bin Mao, Ming Wang, Fang Wang, Zhunchen Luo, Wei Luo, Guotong Geng
2026WikiREVIEW: A Multi-Perspective Review Framework for Automatic Wiki-Style Article Generation.
Guo-Biao Zhang, Zhijing Wu, Tian Lan, Ding-Yuan Liu, Yu-Shi Zhu, Xian-Ling Mao
2026Wikontic: A Tool for Building Knowledge Graphs from Text Aligned with the Wikidata Ontology.
Alla Chepurova, Aydar Bulatov, Mikhail Burtsev, Yuri Kuratov
2026WinMamba: Multi-Scale Shifted Windows in State Space Model for 3D Object Detection.
Longhui Zheng, Qiming Xia, Xiaolu Chen, Zhaoliang Liu, Chenglu Wen
2026WingBeats and Snapshots: Fusing Sound and Vision for Mosquito Monitoring (Student Abstract).
Ahana Chanda, Akshay Agarwal
2026WorldAgen: Unified State-Action Prediction with Test-Time World Model Training.
Chi Wan, Kangrui Wang, Yuan Si, Pingyue Zhang, Manling Li
2026WorldGrow: Generating Infinite 3D World.
Sikuang Li, Chen Yang, Jiemin Fang, Taoran Yi, Jia Lu, Jiazhong Cen, Lingxi Xie, Wei Shen, Qi Tian
2026WorldRFT: Latent World Model Planning with Reinforcement Fine-Tuning for Autonomous Driving.
Pengxuan Yang, Ben Lu, Zhongpu Xia, Chao Han, Yinfeng Gao, Teng Zhang, Kun Zhan, Xianpeng Lang, Yupeng Zheng, Qichao Zhang
2026X-MoGen: Unified Motion Generation Across Humans and Animals.
Xuan Wang, Kai Ruan, Liyang Qian, Guo Zhi Zhi, Chang Su, Gaoang Wang
2026X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and a Novel LLM-Consulted Explanation Framework.
Mohammad Zia Ur Rehman, Sai Kartheek Reddy Kasu, Shashivardhan Reddy Koppula, Sai Rithwik Reddy Chirra, Shwetank Shekhar Singh, Nagendra Kumar
2026X-ReID: Multi-granularity Information Interaction for Video-Based Visible-Infrared Person Re-Identification.
Chenyang Yu, Xuehu Liu, Pingping Zhang, Huchuan Lu
2026X-SAM: From Segment Anything to Any Segmentation.
Hao Wang, Limeng Qiao, Zequn Jie, Zhijian Huang, Chengjian Feng, Qingfang Zheng, Lin Ma, Xiangyuan Lan, Xiaodan Liang
2026X2Edit: Revisiting Arbitrary-Instruction Image Editing Through Self-Constructed Data and Task-Aware Representation Learning.
Jian Ma, Xujie Zhu, Zihao Pan, Qirong Peng, Xu Guo, Chen Chen, Haonan Lu
2026XLinear: A Lightweight and Accurate MLP-Based Model for Long-Term Time Series Forecasting with Exogenous Inputs.
Xinyang Chen, Huidong Jin, Yu Huang, Zaiwen Feng
2026YOLO-IOD: Towards Real Time Incremental Object Detection.
Shizhou Zhang, Xueqiang Lv, Yinghui Xing, Qirui Wu, Di Xu, Chen Zhao, Yanning Zhang
2026You Don't Need Pre-Built Graphs for RAG: Retrieval Augmented Generation with Adaptive Reasoning Structures.
Shengyuan Chen, Chuang Zhou, Zheng Yuan, Qinggang Zhang, Zeyang Cui, Hao Chen, Yilin Xiao, Jiannong Cao, Xiao Huang
2026You Only Need One Stage: Novel-View Synthesis from a Single Blind Face Image.
Taoyue Wang, Xiang Zhang, Xiaotian Li, Huiyuan Yang, Lijun Yin
2026Your AI-Generated Image Detector Can Secretly Achieve SOTA Accuracy, If Calibrated.
Muli Yang, Gabriel James Goenawan, Henan Wang, Huaiyuan Qin, Chenghao Xu, Yanhua Yang, Fen Fang, Ying Sun, Joo Hwee Lim, Hongyuan Zhu
2026Your Prompts Are Not Safe: Output-Free Membership Inference via Prompt Vectors in Vision-Language Tuning.
Yuran Bian, Xiaohan Zhang, Zhiyuan Yu, Changqing Li, Li Pan
2026Yours or Mine? Overwriting Attacks Against Neural Audio Watermarking.
Lingfeng Yao, Chenpei Huang, Shengyao Wang, Junpei Xue, Hanqing Guo, Jiang Liu, Phone Lin, Tomoaki Ohtsuki, Miao Pan
2026ZeRCP: Towards Communication-Efficient Collaborative Perception and Future Scene Prediction via Request-Free Spatial Filtering.
Yijie Chen, Yuzhe Ji, Haotian Wang, Xiaoyun Qiu, Ying-Cong Chen, Xinhu Zheng
2026Zero-Reference Joint Low-Light Enhancement and Deblurring via Visual Autoregressive Modeling with VLM-Derived Modulation.
Wei Dong, Han Zhou, Junwei Lin, Jun Chen
2026Zero-Shot Open-Vocabulary Human Motion Grounding with Test-Time Training.
Yunjiao Zhou, Xinyan Chen, Junlang Qian, Lihua Xie, Jianfei Yang
2026Zero-Shot Robotic Manipulation via 3D Gaussian Splatting-Enhanced Multimodal Retrieval-Augmented Generation.
Zilong Xie, Jingyu Gong, Xin Tan, Zhizhong Zhang, Yuan Xie
2026Zero-Shot Vision Language Reasoning via Dual-layer Scene Graph Chain of Thoughts (Student Abstract).
Yash Bansal, Parshiv Kapoor, Agam Pandey
2026Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI.
Jie Feng, Rui Luo, Tian Zeng, Xin Shen, Haikun Qi, Yuyao Zhang, Dong Liang, Hongjiang Wei
2026Zero-shot Recommendation: Towards Class Semantic Relation Learning for Inferring Labels of Unseen Micro-videos.
Junyang Chen, Huan Wang, Yirui Wu, Qiuzhen Lin, Yunfeng Diao, Junkai Ji
2026Zero-to-Hero: Empowering Video Appearance Transfer with Zero-Shot Initialization and Holistic Restoration.
Tongtong Su, Chengyu Wang, Haipeng Liao, Jun Huang, Dongming Lu
2026ZipLJP: Zipped Information Processor for Legal Judgment Prediction.
Fanghao Lou, Qiqi Wang, Guanyu Chen, Kaiqi Zhao, Huijia Li
2026Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training.
Ruicheng Zhang, Jun Zhou, Zunnan Xu, Zihao Liu, Jiehui Huang, Mingyang Zhang, Yu Sun, Xiu Li
2026Zooming In on Fakes: A Novel Dataset for Localized AI-Generated Image Detection with Forgery Amplification Approach.
Lvpan Cai, Haowei Wang, Jiayi Ji, YanShu ZhouMen, Shen Chen, Taiping Yao, Xiaoshuai Sun
2026anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding.
Haitao Li, Ziyu Li, Yiheng Mao, Ziyi Liu, Zhoujian Sun, Zhengxing Huang
2026db-ECBS: Interaction-Aware Multirobot Kinodynamic Motion Planning (Abstract Reprint).
Akmaral Moldagalieva, Joaquim Ortiz de Haro, Wolfgang Hönig
2026iCD: An Implicit Clustering Distillation Method for Structural Information Mining (Student Abstract).
Xiang Xue, Yatu Ji, Qing-dao-er-ji Ren, Bao Shi, Min Lu, Nier Wu, Xufei Zhuang, Haiteng Xu, Gan-qi-qi-ge Cha
2026iDT-diet: Toward Personalized Health Forecasting-An Intelligent Digital Twin Model for Diet-Influenced Biomarker Trajectories (Student Abstract).
Ashikur Rahman Nobel, Jacob Matos, Honggang Wang, Hua Fang
2026iMAD: Intelligent Multi-Agent Debate for Efficient and Accurate LLM Inference.
Wei Fan, JinYi Yoon, Bo Ji
2026iSeal: Encrypted Fingerprinting for Reliable LLM Ownership Verification.
Zixun Xiong, Gaoyi Wu, Qingyang Yu, Mingyu Derek Ma, Lingfeng Yao, Miao Pan, Xiaojiang Du, Hao Wang
2026mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing.
Ziyang Liu, Siyuan He, Feng Liang, Chang Huang, Shuxin Zhong, Kaishun Wu
2026mmPred: Radar-based Human Motion Prediction in the Dark.
Junqiao Fan, Haocong Rao, Jiarui Zhang, Jianfei Yang, Lihua Xie
2026qa-FLoRA: Data-free query-adaptive Fusion of LoRAs for LLMs.
Shreya Shukla, Aditya Sriram, Milinda Kuppur Narayanaswamy, Hiteshi Jain
2026rMMEA: Robust Multi-Modal Entity Alignment with Missing and Noise Visual Modality.
Lingbing Guo, Zhuo Chen, Yichi Zhang, Wenbin Guo, Haonan Yang, Zhao Li, Zirui Chen, Xin Wang
2026scCluBench: Comprehensive Benchmarking of Clustering Algorithms for Single-Cell RNA Sequencing.
Ping Xu, Zaitian Wang, Zhirui Wang, Pengjiang Li, Jiajia Wang, Ran Zhang, Pengfei Wang, Yuanchun Zhou
2026uCLIP: Parameter-Efficient Multilingual Extension of Vision-Language Models with Unpaired Data.
Dahyun Chung, Donghyun Shin, Yujin Sung, Seunggi Moon, Jinwoo Jeon, Byung-Jun Lee
2026vMFCoOp: Towards Equilibrium on a Unified Hyperspherical Manifold for Prompting Biomedical VLMs.
Minye Shao, Sihan Guo, Xinrun Li, Xingyu Miao, Haoran Duan, Yang Long
2026xMHashSeg: Cross-modal Hash Learning for Training-free Unsupervised LiDAR Semantic Segmentation.
Jialong Zhang, Yachao Zhang, Yao Wu, Jiangming Shi, Fangyong Wang, Yanyun Qu
2026zkQML: Verifiable and Privacy-Preserving Inference for Quantum Machine Learning (Student Abstract).
Seung Kwon Lee, Seok Bin Son, Joongheon Kim, Hoh Peter In
2026Δt-Mamba3D: A Time‑Aware Spatio‑Temporal State‑Space Model for Breast Cancer Risk Prediction.
Zhengbo Zhou, Dooman Arefan, Margarita L. Zuley, Shandong Wu
2026Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback.
Shijing Zhu, Zhuang Chen, Guanqun Bi, Binghang Li, Yaxi Deng, Dazhen Wan, Libiao Peng, Xiyao Xiao, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Fangfang Li, Minlie Huang