| 2025 | +VeriRel: Verification Feedback to Enhance Document Retrieval for Scientific Fact Checking. Xingyu Deng, Xi Wang, Mark Stevenson |
| 2025 | A Comparative Analysis of Linguistic and Retrieval Diversity in LLM-Generated Search Queries. Oleg Zendel, Sara Fahad Dawood Al Lawati, Lida Rashidi, Falk Scholer, Mark Sanderson |
| 2025 | A Comprehensive Toolkit for Generalized Robust Vision. Zhao Li, Yuefeng Chen, Hui Xue, Xiaofeng Mao |
| 2025 | A Content-Driven Micro-Video Recommendation Dataset at Scale. Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan |
| 2025 | A Cost-Aware Approach for Collaborating Large Language Models and Small Language Models. Zheng Li, Xuyun Zhang, Sheng Lu, Hua Deng, Hao Tian, Wanchun Dou |
| 2025 | A Cost-Effective Framework to Evaluate LLM-Generated Relevance Judgements. Simone Merlo, Stefano Marchesin, Guglielmo Faggioli, Nicola Ferro |
| 2025 | A Demonstration of PKGem: Secure Enrichment of Personal Knowledge Graphs. Junzhou Su, Sriram Nutulapati, Chang Ge |
| 2025 | A Hierarchical Structure-Enhanced Personalized Recommendation Model for Traditional Chinese Medicine Formulas Based on KG Diffusion Guidance. ChaoBo Zhang, Long Tan |
| 2025 | A Large-Scale Dataset of Interactions Between Weibo Users and Platform-Empowered LLM Agent. Shaokui Gu, Yongjie Yin, Qingyuan Gong, Fenghua Tong, Yipeng Zhou, Qiang Duan, Yang Chen |
| 2025 | A Large-Scale Web Search Dataset for Federated Online Learning to Rank. Marcel Gregoriadis, Jingwei Kang, Johan Pouwelse |
| 2025 | A Node-Aware Dynamic Quantization Approach for Graph Collaborative Filtering. Lin Li, Chunyang Li, Yu Yin, Xiaohui Tao, Jianwei Zhang |
| 2025 | A Pivot-Enhanced Question Answering Framework: Using Iterative Sub-Question Decomposition and Answer-to-Question Verification. Seyeon Park, Beakcheol Jang |
| 2025 | A Privacy-preserving Spatial Dataset Joinable Search in Cloud. Zhengkai Zhang, Hua Dai, Hao Zhou, Mingfeng Jiang, Pengyue Li, Geng Yang |
| 2025 | A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew. Michael Ben Ali, Imen Megdiche, André Péninou, Olivier Teste |
| 2025 | A Robust and High-Efficiency Active Clustering Framework with Multi-User Collaboration. Wen-Bo Xie, Tian Zou, Tao Deng, Xuan-Lin Zhu, Xun Fu, Qiu-Yu Wang, Bin Chen, Xin Wang |
| 2025 | A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation. Kyungho Kim, Sunwoo Kim, Geon Lee, Kijung Shin |
| 2025 | A Soft-partitioned Semi-supervised Collaborative Transfer Learning Approach for Multi-Domain Recommendation. Xiaoyu Liu, Yiqing Wu, Ruidong Han, Fuzhen Zhuang, Xiang Li, Wei Lin |
| 2025 | A Tutorial on Hypergraph Neural Networks: An In-Depth and Step-By-Step Guide. Sunwoo Kim, Soo Yong Lee, Yue Gao, Alessia Antelmi, Mirko Polato, Kijung Shin |
| 2025 | A Universal Framework for Offline Serendipity Evaluation in Recommender Systems via Large Language Models. Yu Tokutake, Kazushi Okamoto, Kei Harada, Atsushi Shibata, Koki Karube |
| 2025 | A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text. Alicia Sagae, Chia-Jung Lee, Sandeep Avula, Brandon Dang, Vanessa Murdock |
| 2025 | ACMCG: A Cost-effective Active Clustering with Minimal Constraint Graph. Qiu-Yu Wang, Wen-Bo Xie, Tao Deng, Tian Zou, Xuan-Lin Zhu, Xun Fu, Xin Wang |
| 2025 | ADMP-GNN: Adaptive Depth Message Passing GNN. Yassine Abbahaddou, Fragkiskos D. Malliaros, Johannes F. Lutzeyer, Michalis Vazirgiannis |
| 2025 | AGENTiGraph: A Multi-Agent Knowledge Graph Framework for Interactive, Domain-Specific LLM Chatbots. Xinjie Zhao, Moritz Blum, Fan Gao, Yingjian Chen, Boming Yang, Luis Marquez-Carpintero, Monica Pina-Navarro, Yanran Fu, So Morikawa, Yusuke Iwasawa, Yutaka Matsuo, Chanjun Park, Irene Li |
| 2025 | AI Planning for Data Exploration. Sihem Amer-Yahia |
| 2025 | AI on the Pulse: Real-Time Health Anomaly Detection with Wearable and Ambient Intelligence. Davide Gabrielli, Bardh Prenkaj, Paola Velardi, Stefano Faralli |
| 2025 | AMBER: Adaptive Meta Balanced Paradigm for Heterogeneous Graph-Based Knowledge Tracing. Lifan Sun, Zichen Yuan, Ersheng Ni, Weihua Cheng, Xinyuan Song, Linkun Dai, Hongwei Jiang, Sibo Xu, Mengmeng Chen, Yucen Zhuang, Yongxin Ni, Youhua Li |
| 2025 | AR Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo, Hen-Hsen Huang |
| 2025 | ASAP: Unsupervised Post-training with Label Distribution Shift Adaptive Learning Rate. Heewon Park, Mugon Joe, Miru Kim, Minhae Kwon |
| 2025 | Achoio: A Skill-Aware Evaluation Management System for Text-To-Speech Research. Haowei Lou, Hye-Young Paik, Basem Suleiman, Wen Hu, Lina Yao |
| 2025 | ActiViz: Understanding Sample Selection in Active Learning through Boundary Visualization. Jie Chen, Honghui Du, Dairui Liu, Siteng Ma, Brian MacNamee, Ruihai Dong |
| 2025 | Active Recommendation for Email Outreach Dynamics. Cenek Zid, Rodrigo Alves, Pavel Kordík |
| 2025 | AdaHet-MKD: An Adaptive Heterogeneous Multi-teacher Knowledge Distillation for Medical Image Analysis. Helin Wang, Wei Du, Ning Liu, Qian Li, Yanyu Xu, Lizhen Cui |
| 2025 | AdaPatch: Adaptive Patch-Level Modeling for Non-Stationary Time Series Forecasting. Kun Liu, Zhongjie Duan, Cen Chen, Yanhao Wang, Dawei Cheng, Yuqi Liang |
| 2025 | Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAML. Yurou Zhao, Yingfei Zhang, Quan Zhou, Shuang Zhang, Wei Lin, Jiaxin Mao |
| 2025 | Adapting Large Language Models to Log Analysis with Interpretable Domain Knowledge. Yuhe Ji, Yilun Liu, Feiyu Yao, Minggui He, Shimin Tao, Xiaofeng Zhao, Chang Su, Xinhua Yang, Weibin Meng, Yuming Xie, Boxing Chen, Shenglin Zhang, Yongqian Sun |
| 2025 | Adaptive Bidirectional State Space Model for High-frequency Portfolio Management. Wei Ding, Hanpeng Jiang, Ruibo Xiong, Yongrong Wu, Jingan Chen, Lifan Chen, Pengfei Ding, Fan Lin |
| 2025 | Adaptive Context-Infused Performance Evaluator for Iterative Feature Space Optimization. Yanping Wu, Yanyong Huang, Zijun Yao, Yanjie Fu, Kunpeng Liu, Xiao Luo, Dongjie Wang |
| 2025 | Adaptive Heterogeneous Graph Neural Networks: Bridging Heterophily and Heterogeneity. Qin Chen, Guojie Song |
| 2025 | Adaptive Spike Neural Networks for Natural Language Inference Tasks with Dynamic Spike Predictor. Seung-Kyu Hong, Hyuk-Yoon Kwon |
| 2025 | Adaptive Spline Networks in the Kolmogorov-Arnold Framework: Knot Analysis and Stability Enhancement. Liangwei Nathan Zheng, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | Addressing Personalized Bias for Unbiased Learning to Rank. Zechun Niu, Lang Mei, Liu Yang, Ziyuan Zhao, Qiang Yan, Jiaxin Mao, Ji-Rong Wen |
| 2025 | Addressing the Distortion of Community Representations in Anomaly Detection on Attributed Networks. Enbo He, Yitong Hao, Yue Zhang, Guisheng Yin, Lina Yao |
| 2025 | Advanced News Event Clustering via Topic Enhanced Modeling with Multi-Aspect Contrastive Learning. Hang Yang, Xiaoyan Yu, Dianbo Sui |
| 2025 | Advanced Privacy Protection in Federated Learning using Server-initiated Homomorphic Encryption. Cameron Lee, Matthew L. Daggitt, Yansong Gao, Jin B. Hong |
| 2025 | Advances in Financial AI: Innovations, Risk, and Responsibility in the Era of LLMs. Yongjae Lee, Nazanin Mehrasa, Chanyeol Choi, Chung-Chi Chen, Dhagash Mehta, Stefan Zohren, Yoon Kim, Chulheum Lee, Yeonhee Lee, Eunsook Oh |
| 2025 | Advances in Medical Knowledge Systems: LLMs, RAG and Foundation Models. Giulia Di Teodoro, Valerio Guarrasi, Federico Siciliano, Fabrizio Silvestri |
| 2025 | Advancing Graph Isomorphism Tests with Metric Space Indicators: A Tool for Improving Graph Learning Tasks. Shenghui Zhang, Pak Lon Ip, Rongqin Chen, Shunran Zhang, Leong Hou U |
| 2025 | Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin |
| 2025 | Adversarially Attacking Graph Properties and Sparsification in Graph Learning. Chunjiang Zhu, Blake Gaines, Jing Deng, Jinbo Bi |
| 2025 | Aggregated Gradients-based Adaptive Learning Rate Design in Federated Learning. Wenhao Yuan, Xuehe Wang |
| 2025 | Amortized Baseline Selection via Rank-Revealing QR for Efficient Model Explanation. Chanwoo Lee, Youngjin Park, Hyeongeun Lee, Yeeun Yoo, Daehee Han, Junho Choi, Geonhyeong Kim, Nari Kim, Jaesik Choi |
| 2025 | An Efficient PIM-Based Graph Engine on a Single Machine. Myung-Hwan Jang, Min-Kyeong Shin, Taehyeong Park, Yongjun Park, Sang-Wook Kim |
| 2025 | An Embarrassingly Simple but Effective Knowledge-enhanced Recommender. Haibo Ye, Lijun Zhang, Yuan Yao, Xinjie Li |
| 2025 | An Interventional Approach to Real-Time Disaster Assessment via Causal Attribution. Saketh Vishnubhatla, Alimohammad Beigi, Rui Heng Foo, Umang Goel, Ujun Jeong, Bohan Jiang, Adrienne Raglin, Huan Liu |
| 2025 | An LLM-based Behavior Modeling Framework for Malicious User Detection. Meng Jiang, Wenjie Wang, Chongming Gao, Shaofeng Hu, Kaishen Ou, Hui Lin, Fuli Feng |
| 2025 | An Robust Entity Alignment Method based on Knowledge Distillation with Noisy Aligned Pairs. Yuhong Zhang, Hangchi Song, Xiaolong Zhu, Chenyang Bu, Kui Yu |
| 2025 | AnDri: A System for Anomaly and Drift co-Detection. Jongjun Park, Ziqi Guo, Fei Chiang |
| 2025 | Anchor-based Pairwise Comparison via Large Language Model for Recommendation Reranking. Qin Luo, Erjia Chen, Zhao Shi, Bang Wang |
| 2025 | Anomaly Detection for Advanced Driver Assistance System with NCDE-based Normalizing Flow. Kangjun Lee, Minha Kim, Youngho Jun, Simon S. Woo |
| 2025 | Antelope: Potent and Concealed Jailbreak Attack Strategy. Xin Zhao, Xiaojun Chen, Haoyu Gao |
| 2025 | AppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance. Yuyang Zhao, Wentao Shi, Fuli Feng, Xiangnan He |
| 2025 | Approximating Gradient-Based Influence for Scalable Instruction Data Selection. Mohammad Gharehhasanloo, Yueting Chen, Nick Koudas, Xiaohui Yu |
| 2025 | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2025 | As Good as It KAN Get: High-Fidelity Audio Representation. Patryk Marszalek, Maciej Rut, Piotr Kawa, Przemyslaw Spurek, Piotr Syga |
| 2025 | Asking Questions with Thoughts: An Efficient Difficulty-Controllable Question Generation Method with Posterior Knowledge Distillation. Sixing Wu, Jiahao Chen, Yujue Zhou, Zhijun Yang, Wei Zhou |
| 2025 | Assessing Natural Language Explanations of Relational Graph Neural Networks. Stefan Heindorf, Daniel Neib |
| 2025 | Asymmetric Diffusion Recommendation Model. Yongchun Zhu, Guanyu Jiang, Jingwu Chen, Feng Zhang, Xiao Yang, Zuotao Liu |
| 2025 | Audience-Aware and Self-Adaptive Multi-Interest Modeling for Sharing Rate Prediction in Affiliate Marketing. Zhe Wang, Ziyu Guan, Yujian Cao, Yaming Yang, Rui Wang, Bin Tong, Wei Zhao, Hongbo Deng |
| 2025 | Augmenting Guest Search Results with Recommendations at Airbnb. Haowei Zhang, Philbert Lin, Dishant Ailawadi, Soumyadip Banerjee, Shashank Dabriwal, Hao Li, Kedar Bellare, Liwei He, Sanjeev Katariya |
| 2025 | Augmenting Limited and Biased RCTs through Pseudo-Sample Matching-Based Observational Data Fusion Method. Kairong Han, Weidong Huang, Taiyang Zhou, Peng Zhen, Kun Kuang |
| 2025 | AutoCoRe-FL: Automatic Concept-based Rule Reasoning in Federated Learning. Ahmed Soliman, Radwa El Shawi |
| 2025 | AutoDW-TS: Automated Data Wrangling for Time-Series Data. Lei Liu, So Hasegawa, Shailaja Keyur Sampat, Mehdi Bahrami, Wei-Peng Chen, Kodai Toyota, Takashi Kato, Takumi Akazaki, Akira Ura, Tatsuya Asai |
| 2025 | AutoRuleSQL: Hybrid Text-to-SQL via Rule-Driven Fast Paths and LLM Bootstrapping. Han Xu, Yang Li, Yanhai Xiong, Robert Mintern, Amir Louka, Haipeng Chen |
| 2025 | Autonomous Reasoning-Retrieval for Large Language Model Based Recommendation. Bowen Zheng, Xiaolei Wang, Enze Liu, Xi Wang, Hongyu Lu, Yu Chen, Wayne Xin Zhao, Ji-Rong Wen |
| 2025 | Autoregressive Generative Retrieval for Industrial-Scale Recommendations at Pinterest. Prabhat Agarwal, Anirudhan Badrinath, Laksh Bhasin, Jaewon Yang, Jiajing Xu, Charles Rosenberg |
| 2025 | BALM-TSF: Balanced Multimodal Alignment for LLM-Based Time Series Forecasting. Shiqiao Zhou, Holger Schöner, Huanbo Lyu, Edouard Fouché, Shuo Wang |
| 2025 | BOVIS: Bias-Mitigated Object-Enhanced Visual Emotion Analysis. Yubeen Lee, Sangeun Lee, Junyeop Cha, Jufeng Yang, Eunil Park |
| 2025 | Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li |
| 2025 | Balance and Brighten: A Twin-Propeller Network to Release Potential of Physics Laws for Traffic State Estimation. Weihao Jiang, Yao Fu, Hong Zhao, Xiaoyu Cai, Ruiheng Yang, Linsen Li, Jiang Zhu |
| 2025 | Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response. Wenchuan Mu, Kwan Hui Lim |
| 2025 | Benefit from Rich: Tackling Search Interaction Sparsity in Search Enhanced Recommendation. Teng Shi, Weijie Yu, Xiao Zhang, Ming He, Jianping Fan, Jun Xu |
| 2025 | Beyond Masking: Landmark-based Representation Learning and Knowledge-Distillation for Audio-Visual Deepfake Detection. Chan Park, Muhammad Shahid Muneer, Simon S. Woo |
| 2025 | Beyond Pairwise Learning-To-Rank At Airbnb. Malay Haldar, Daochen Zha, Huiji Gao, Liwei He, Sanjeev Katariya |
| 2025 | Beyond Return Conditioning: Multi-Scale Sequence Modeling and Advantage-Guided Policy Routing for Offline RL. Kunbao Wu, Xinning Zhu, Yang Qin, Tieru Wang, Jianzhou Diao, Zheng Hu |
| 2025 | Beyond Surface Similarity: A Riemannian Hierarchical Ranking Framework for Sociological Concept Equivalence. Zeqiang Wang, Wing Yan Li, Jon Johnson, Nishanth Sastry, Suparna De |
| 2025 | BiListing: Modality Alignment for Listings. Guillaume Guy, Mihajlo Grbovic, Chun How Tan, Han Zhao |
| 2025 | Bidirectional Temporal-Aware Modeling with Multi-Scale Mixture-of-Experts for Multivariate Time Series Forecasting. Yifan Gao, Boming Zhao, Haocheng Peng, Hujun Bao, Jiashu Zhao, Zhaopeng Cui |
| 2025 | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Li, Sem Park, Bo Long |
| 2025 | BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process. Yuxin Li, Chen Xu, Jun Xu, Ji-Rong Wen |
| 2025 | BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning. Zheng Cui, Dong Nie, Pengcheng Xue, Xia Wu, Daoqiang Zhang, Xuyun Wen |
| 2025 | Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | Bridging Thoughts and Words: Graph-Based Intent-Semantic Joint Learning for Fake News Detection. Zhengjia Wang, Qiang Sheng, Danding Wang, Beizhe Hu, Juan Cao |
| 2025 | Bridging the Gap Between Sparsity and Redundancy: A Dual-Decoding Framework with Global Context for Map Inference. Yudong Shen, Jiali Mao, Wenyu Wu, Yixiao Tong, Guoping Liu, Chaoya Wang |
| 2025 | Bridging the Gap between Knowledge Graphs and LLMs for Multi-hop Question Answering. Shijie Luo, Xinyuan Lu, Qinpei Zhao, Weixiong Rao |
| 2025 | Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders. Lei Zhou, Min Gao, Zongwei Wang, Yibing Bai |
| 2025 | Building Safer Sites: A Large-Scale Multi-Level Dataset for Construction Safety Benchmark. Zhenhui Ou, Dawei Li, Zhen Tan, Wenlin Li, Huan Liu, Siyuan Song |
| 2025 | Building Trustworthy Peer Review Quality Assessment Systems. Negar Arabzadeh, Sajad Ebrahimi, Ali Ghorbanpour, Soroush Sadeghian, Sara Salamat, Muhan Li, Hai Son Le, Mahdi Bashari, Ebrahim Bagheri |
| 2025 | Building a Virtual Member of a Community of Practice. Joshua Eckroth, Dayne Freitag, Jonathan M. Keefe, Timothy Meyer, Karen L. Myers, Eric Schoen, Pedro Sequeira, Reid G. Smith |
| 2025 | C-FAITH: A Chinese Fine-Grained Benchmark for Automated Hallucination Evaluation. Xu Zhang, Zhifei Liu, Jiahao Wang, Huixuan Zhang, Fan Xu, Junzhe Zhang, Xiaojun Wan |
| 2025 | CAGCL: A Community-Aware Graph Contrastive Learning Model for Social Bot Detection. Kaihang Wei, Min Teng, Haotong Du, Songxin Wang, Jinhe Zhao, Chao Gao |
| 2025 | CALLM: A Framework for Systematic Contrastive Analysis of Large Language Models. Reinhard Friedrich Fritsch, Adam Jatowt |
| 2025 | CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang |
| 2025 | CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes. Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu |
| 2025 | CHEM: Causally and Hierarchically Explaining Molecules. Gyeongdong Woo, Soyoung Cho, Donghyeon Kim, Kimoon Na, Changhyun Kim, Jinhee Choi, Jong-June Jeon |
| 2025 | CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao |
| 2025 | CPSRank: Unsupervised Keyphrase Extraction via Contextual Perturbation. Hyunwook Yu, Minju Kim, Euijin Kim, Mucheol Kim |
| 2025 | CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization. Jeongseon Kim, Sungsu Lim |
| 2025 | CS-Agent: LLM-based Community Search via Dual-agent Collaboration. Jiahao Hua, Long Yuan, Qingshuai Feng, Qiang Fan, Shan Huang |
| 2025 | CSMD: Curated Multimodal Dataset for Chinese Stock Analysis. Yu Liu, Zhuoying Li, Ruifeng Yang, Fengran Mo, Cen Chen |
| 2025 | CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets. Yujing Wang, Yiren Chen, Huoran Li, Chunxu Xu, Yuchong Luo, Xianghui Mao, Cong Li, Lun Du, Chunyang Ma, Qiqi Jiang, Yin Wang, Fan Gao, Wenting Mo, Pei Wen, Shantanu Kumar, Taejin Park, Yiwei Song, Vijay Rajaram, Tao Cheng, Sonu Durgia, Pranam Kolari |
| 2025 | Calibrated and Diverse News Coverage. Tianyi Zhou, Stefan Neumann, Kiran Garimella, Aristides Gionis |
| 2025 | Calibrating on Kolmogorov-Arnold Network. Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | Calibrating on Medical Segmentation Model through Signed Distance. Wenhao Liang, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen |
| 2025 | Can LLMs Really Help Query Understanding In Web Search? A Practical Perspective. Dezhi Ye, Ye Qin, Bowen Tian, Jiabin Fan, Jie Liu, Haijin Liang, Jin Ma |
| 2025 | Can Large Vision-Language Models Understand Multimodal Sarcasm? Xinyu Wang, Yue Zhang, Liqiang Jing |
| 2025 | Caption, Create, Continue: Continual Learning with Pre-trained Generative Vision-Language Models. Indu Solomon, Aye Phyu Phyu Aung, Uttam Kumar, Senthilnath Jayavelu |
| 2025 | Causal Effect Variational Transformer for Public Health Measures and COVID-19 Infection Cluster Analysis. Jinho Kang, Sungjun Lim, Hojun Park, Jiyoung Jung, Jaehun Jung, Kyungwoo Song |
| 2025 | CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking. Ahmet Kapkiç, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul Çoban, Paras Sheth, Huan Liu, K. Selçuk Candan |
| 2025 | Causality-aware Graph Aggregation Weight Estimator for Popularity Debiasing in Top-K Recommendation. Yue Que, Yingyi Zhang, Xiangyu Zhao, Chen Ma |
| 2025 | Cequel: Cost-Effective Querying of Large Language Models for Text Clustering. Hongtao Wang, Taiyan Zhang, Renchi Yang, Jianliang Xu |
| 2025 | Channel-Independent Refiner for Multivariate Time Series Forecasting. Jie Wang, Zhongguang Zheng, Chaoliang Zhong, Jun Sun |
| 2025 | Chart-CoCa: Self-Improving Chart Understanding of Vision LMs via Code-Driven Synthesis and Candidate-Conditioned Answering. Gongyao Jiang, Qiong Luo |
| 2025 | CheckDAPR: An MLLM-based Sketch Analysis System for Draw-A-Person-in-the-Rain Assessments. Migyeong Yang, Chaehee Park, Taeeun Kim, Hayeon Song, Jinyoung Han |
| 2025 | Chunked Data Shapley: A Scalable Dataset Quality Assessment for Machine Learning. Andreas Loizou, Dimitrios Tsoumakos |
| 2025 | CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control. Jinwei Zeng, Chao Yu, Xinyi Yang, Wenxuan Ao, Qianyue Hao, Jian Yuan, Yong Li, Yu Wang, Huazhong Yang |
| 2025 | ClariLM: Enhancing Open-domain Clarification Ability for Large Language Models. Ziliang Zhao, Haonan Chen, Shiren Song, Jian Xie, Zhicheng Dou |
| 2025 | ClimBurst: A Dynamic Visualization Tool to Display Climatological Anomalies over Time and Space. Guillaume Coulaud, Benoit Lange, Dennis Shasha, Audrey Brouillet, Reza Akbarinia, Florent Masseglia |
| 2025 | ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He |
| 2025 | Climber: Toward Efficient Scaling Laws for Large Recommendation Models. Songpei Xu, Shijia Wang, Da Guo, Xianwen Guo, Qiang Xiao, Bin Huang, Guanlin Wu, Chuanjiang Luo |
| 2025 | CoCoTen: Detecting Adversarial Inputs to Large Language Models through Latent Space Features of Contextual Co-occurrence Tensors. Sri Durga Sai Sowmya Kadali, Evangelos E. Papalexakis |
| 2025 | CoHN: Context-Aware Hawkes Graph Network for Temporal Knowledge Graph Reasoning. Xiaowei Tian, Xiaoyan Zhang, Xiaofeng Du, Tianbo Lu |
| 2025 | CoinCLIP: A Multimodal Framework for Assessing Viability in Web3 Memecoins. Hou-Wan Long, Hongyang Li, Wei Cai |
| 2025 | Collaborative Interest Mining Network for Knowledge Graph-based Recommendation. Jie Luo, Ying Pan, Guoliang Huang |
| 2025 | Community Partition-based Source Localization with Adaptive Observers Deployment. Jinchen Shi, Yang Fang, Zhen Tan, Xin Zhang, Xiang Zhao |
| 2025 | Community-Aware Social Community Recommendation. Runhao Jiang, Renchi Yang, Wenqing Lin |
| 2025 | Company-Specific Knowledge Matters: Retrieval-Augmented Generation for Earnings Call Answer Rehearsal. Yung-Yu Shih, Yun-Nung Chen, Chung-Chi Chen |
| 2025 | Compare: A Framework for Scientific Comparisons. Moritz Staudinger, Wojciech Kusa, Matteo Cancellieri, David Pride, Petr Knoth, Allan Hanbury |
| 2025 | Compensating Information and Capturing Modal Preferences in Multimodal Recommendation: A Dual-Path Representation Learning Framework. Cairong Yan, Xubin Mao, Zijian Wang, Xicheng Zhao, Linlin Meng |
| 2025 | Compressed Concatenation of Small Embedding Models. Mohamed Ayoub Ben Ayad, Michael Dinzinger, Kanishka Ghosh Dastidar, Jelena Mitrovic, Michael Granitzer |
| 2025 | ConGM: Contrastive Graph Matching for Graph Self-Supervised Learning. Hongxiang Lin, Lei Wang, Huiying Hu, Xiaoqing Lyu |
| 2025 | CondFairGen A Fair Conditional Generator for Tabular Data via Adaptive Sampling. David Sanchez Jr., Anantaa Kotal |
| 2025 | ConsensNet: A Unified Consensus-Centric Framework for Incomplete Multi-View Clustering. Yifei Chen, Xiaolin Xiao, Yue-Jiao Gong |
| 2025 | Constraint Back-translation Improves Complex Instruction Following of Large Language Models. Yunjia Qi, Hao Peng, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | Constructing Set-Compositional and Negated Representations for First-Stage Ranking. Antonios Minas Krasakis, Andrew Yates, Evangelos Kanoulas |
| 2025 | Content-Agnostic Moderation for Stance-Neutral Recommendations. Nan Li, Bo Kang, Tijl De Bie |
| 2025 | Context-Aware Fine-Grained Graph RAG for Query-Focused Summarization. Yubin Hong, Chaofan Li, Jingyi Zhang, Yingxia Shao |
| 2025 | Context-aware Sequential Bundle Recommendation via User-specific Representations. Jaeri Lee, U Kang |
| 2025 | Contextual Attention Modulation: Towards Efficient Multi-Task Adaptation in Large Language Models. Dayan Pan, Zhaoyang Fu, Jingyuan Wang, Xiao Han, Yue Zhu, Xiangyu Zhao |
| 2025 | Contextual Representation Anchor Network for Mitigating Selection Bias in Few-Shot Drug Discovery. Ruifeng Li, Wei Liu, Xiangxin Zhou, Mingqian Li, Qiang Zhang, Hongyang Chen, Xuemin Lin |
| 2025 | Continual Recommender Systems. Hyunsik Yoo, SeongKu Kang, Hanghang Tong |
| 2025 | Continuous Data Augmentation via Condition-Tokenized Diffusion Transformer for Sequential Recommendation. Chenglong Shi, Haosen Wang, Pan Tang |
| 2025 | Contrastive ECOC: Learning Output Codes for Adversarial Defense. Che-Yu Chou, Hung-Hsuan Chen |
| 2025 | Contrastive Multi-View Graph Hashing. Yang Xu, Zuliang Yang, Kai Ming Ting |
| 2025 | Controlled Feature Interaction Selection for Deep Sparse Networks. Yuhang Qiu, Biqin Song, Hong Chen |
| 2025 | Converted Data is All You Need for Causal Optimization of e-Commerce Promotions. Dmitri Goldenberg, Hugo Manuel Proença, Amit Livne, Felipe Moraes, Javier Albert, Bracha Shapira |
| 2025 | Correlation-aware Online Change Point Detection. Chengyuan Deng, Zhengzhang Chen, Xujiang Zhao, Haoyu Wang, Junxiang Wang, Jie Gao, Haifeng Chen |
| 2025 | Crocodile: Cross Experts Covariance for Disentangled Learning in Multi-Domain Recommendation. Zhutian Lin, Junwei Pan, Haibin Yu, Xi Xiao, Ximei Wang, Zhixiang Feng, Shifeng Wen, Shudong Huang, Dapeng Liu, Lei Xiao |
| 2025 | Cross-Domain Graph Neural Networks for Notification at LinkedIn. Shihai He, Julie Choi, Tianqi Li, Zhiwei Ding, Peng Du, Priya Bannur, Franco Liang, Fedor Borisyuk, Padmini Jaikumar, Xiaobing Xue, Viral Gupta |
| 2025 | Curriculum Guided Personalized Subgraph Federated Learning. Minku Kang, Hogun Park |
| 2025 | CyberBOT: Ontology-Grounded Retrieval Augmented Generation for Reliable Cybersecurity Education. Chengshuai Zhao, Riccardo De Maria, Tharindu Kumarage, Kumar Satvik Chaudhary, Garima Agrawal, Yiwen Li, Jongchan Park, Ying-Chih Chen, Yuli Deng, Huan Liu |
| 2025 | D-HAT: Dynamic Hypergraph Representation Learning with Attention-Based Multi-Level Hypergraph Sampling. Ah-Hyun Lee, Gordon Euhyun Moon |
| 2025 | DAGP: Difficulty-Aware Graph Pruning for LLM-Based Multi-Agent System. Siqi Wang, Guangmo Tong |
| 2025 | DANet: A RAG-inspired Dual Attention Model for Few-shot Time Series Prediction. Zimo Wen, Hanwen Hu, Nan Fang, Shiyou Qian, Jian Cao |
| 2025 | DAS: Dual-Aligned Semantic IDs Empowered Industrial Recommender System. Wencai Ye, Mingjie Sun, Shaoyun Shi, Peng Wang, Wenjin Wu, Peng Jiang |
| 2025 | DDE-CLIP: Detail-Guided Dual-Modal Enhancement for Zero-Shot Anomaly Detection. Zehao Deng, Qingzhi Ma, An Liu |
| 2025 | DESERE: The 2nd Workshop on Decentralized Search and Recommendation. Thanassis Tiropanis, George Roussos, Mohammad Bahrani, Mohamed Ragab |
| 2025 | DIVAgent: A Diversified Search Agent that Mimics the Human Search Process. Zhirui Deng, Jingfen Qiao, Zhicheng Dou, Ji-Rong Wen, Maarten de Rijke |
| 2025 | DO: An Efficient Deep Reinforcement Learning Approach for Optimal Route with Collective Spatial Keywords. Jiajia Li, Jiming Dong, Lei Li, Yu Yang, Xin Wang, Mengxuan Zhang |
| 2025 | DP-COMET: A Differential Privacy Contextual Obfuscation MEchanism for Texts in Natural Language Processing. Francesco Luigi De Faveri, Guglielmo Faggioli, Nicola Ferro |
| 2025 | DPT: Dynamic Preference Transfer for Cross-Domain Sequential Recommendation. Xiang Ying, Rui Ding, Yue Zhao, Mei Yu, Mankun Zhao |
| 2025 | DSETA: Driving Style-Aware Estimated Time of Arrival. Bolin Zhang, Zhidan Liu |
| 2025 | DT-FedSDC: A Dual-Target Federated Framework with Semantic Enhancement and Disentangled Contrastive Learning for Cross-Domain Recommendation. Shanyang Gao, Shanfeng Wang, Lanyu Yao, Jianzhao Li, Zhao Wang, Maoguo Gong, Ke Pan |
| 2025 | DYCOR: Capturing Hidden Stock Relationships for Stock Trend Prediction. Kangmin Choi, Geon Shin, Jungwoo Yang, Hyunjoon Kim |
| 2025 | Dangerous Language Habits! Exploiting Code-Mixing for Backdoor Attacks on NLP Models. Haotian Jin, Haihui Fan, Jinchao Zhang, Yang Li, Bo Li, Junhao Zhou |
| 2025 | Data-centric Prompt Tuning for Dynamic Graphs. Yufei Peng, Cheng Yang, Zhengjie Fan, Chuan Shi |
| 2025 | Datasets for Supervised Adversarial Attacks on Neural Rankers. Amir Khosrojerdi, Amin Bigdeli, Radin Hamidi Rad, Morteza Zihayat, Charles L. A. Clarke, Ebrahim Bagheri |
| 2025 | DebiasedKGE: Towards Mitigating Spurious Forgetting in Continual Knowledge Graph Embedding. Junlin Zhu, Bo Fu, Guiduo Duan |
| 2025 | Deceptive Synthetic Updates: Stealth Free-Rider Attack on Model Aggregation in Federated Learning. Youngjoon Lee, Jinu Gong, Joonhyuk Kang |
| 2025 | Decoder-only Pre-training Enhancement for Spatio-temporal Traffic Forecasting. Tao Yu, Junhong Wan, Yao Fu, Weihao Jiang, Jiang Zhu |
| 2025 | Decoupling Feature Entanglement for Personalized Federated Learning via Neural Collapse. Haizhou Du, Pengfei Li |
| 2025 | Deep Modality-Disentangled Prompt Tuning for Few-Shot Multimodal Sarcasm Detection. Soumyadeep Jana, Abhrajyoti Kundu, Sanasam Ranbir Singh |
| 2025 | DeepAries: Adaptive Rebalancing Interval Selection for Enhanced Portfolio Selection. Jinkyu Kim, Hyungjung Yi, Mogan Gim, Donghee Choi, Jaewoo Kang |
| 2025 | DeepEyeNet: Generating Medical Report for Retinal Images. Jia-Hong Huang |
| 2025 | Dense Retrieval for Aggregated Search. Lang Mei, Sijie Liu, Ziyuan Zhao, Rolan Yan, Jiaxin Mao, Jirong Wen |
| 2025 | Densest Subgraph Discovery on Decentralized Graphs with Local Edge Differential Privacy. Wenping Tong, Yi Zhou, Yanhao Wang, Cen Chen, Minghao Zhao |
| 2025 | Development of Autonomous Failure Maintenance System for Semiconductor Manufacturing. Nuri Han, Jiwon Seo, Jonghee Ha, Jihyung Oh, Jinwoo Lee, Boram Jeong, Jongbin Park, GilHwan Kim, Yohwan Joo |
| 2025 | DiRW: Path-Aware Digraph Learning for Heterophily. Daohan Su, Xunkai Li, Zhenjun Li, Yinping Liao, Rong-Hua Li, Guoren Wang |
| 2025 | Dialogues Aspect-based Sentiment Quadruple Extraction via Structural Entropy Minimization Partitioning. Kun Peng, Cong Cao, Hao Peng, Zhifeng Hao, Lei Jiang, Kongjing Gu, Yanbing Liu, Philip S. Yu |
| 2025 | Differentiable Probabilistic Logic Reasoning For Knowledge Graph Completion. Zhongbin Li, Lixing Yu, Kun Yue, Xinquan Wu |
| 2025 | DinoCompanion: An Attachment-Theory Informed Multimodal Robot for Emotionally Responsive Child-AI Interaction. Boyang Wang, Yuhao Song, Jinyuan Cao, Peng Yu, Hongcheng Guo, Zhoujun Li |
| 2025 | Discovering Group Collapser for Network Resilience. Guozhang Sun, Haoyuan Wang, Yuhai Zhao, Zhengkui Wang, Yuan Li, Xingwei Wang |
| 2025 | Disentangling Complex Questions in LLMs via Multi-Hop Dependency Graphs. Roland Oruche, Alphaeus Dmonte, Vani Seth, Zian Zeng, Yuanxun Zhang, Marcos Zampieri, Prasad Calyam |
| 2025 | DistillCaps: Enhancing Audio-Language Alignment in Captioning via Retrieval-Augmented Knowledge Distillation. Thinh Pham, Nghiem Tuong Diep, Lizi Liao, Binh T. Nguyen |
| 2025 | Distributed Computation of Xinchao Hu, Yuan Li, Feng Guo, Shan Huang, Guoli Yang, Yuhai Zhao |
| 2025 | Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | Do LLMs Dream of Electric Emotions? Towards Quantifying Metacognition and Generalizing the Teacher-Student Model Using Ensembles of LLMs. Ricky J. Sethi, Hefei Qiu, Charles Courchaine, Joshua Iacoboni |
| 2025 | Do Recommender Systems Really Leverage Multimodal Content? A Comprehensive Analysis on Multimodal Representations for Recommendation. Claudio Pomo, Matteo Attimonelli, Danilo Danese, Fedelucio Narducci, Tommaso Di Noia |
| 2025 | DocPolicyKG: A Lightweight LLM-Based Framework for Knowledge Graph Construction from Chinese Policy Documents. Chen Han, YuanYuan Li, Xijin Tang |
| 2025 | Docking-Aware Attention: Dynamic Protein Representations through Molecular Context Integration. Amitay Sicherman, Kira Radinsky |
| 2025 | Dual Context-Aware Negative Sampling Strategy for Graph-based Collaborative Filtering. Xi Wu, Wenzhe Zhang, Liangwei Yang, Xiaohan Fang, Jiquan Peng, Jibing Gong |
| 2025 | Dual Denoising Diffusion Model for Session-based Social Recommendation. Mengying Lu, Hai-Tao Zheng, Lan Zhou, Qi Li, Jinxiao Shan, Zhixing Li, Hong-Gee Kim |
| 2025 | Dual-Space Masked Reconstruction for Robust Self-Supervised Human Activity Recognition. Shuo Xiao, Jiukai Deng, Chaogang Tang, Zhenzhen Huang |
| 2025 | Dynamic Ensemble Member Selection for Data Stream Classification. Yibin Sun, Bernhard Pfahringer, Heitor Murilo Gomes, Albert Bifet |
| 2025 | Dynamic Graph Learning via Historical Information Perception and Multi-Granular Temporal Curriculum Learning. Yuehang Cao, Xiang Zhao, Yang Fang, Yan Pan, Jiuyang Tang |
| 2025 | Dynamic Network-Based Two-Stage Time Series Forecasting for Affiliate Marketing. Zhe Wang, Yaming Yang, Ziyu Guan, Bin Tong, Rui Wang, Wei Zhao, Hongbo Deng |
| 2025 | Dynamic Reserve Price Design with Distributed Solving Algorithm. Mang Li |
| 2025 | Dynamic Triangulation-Based Graph Rewiring for Graph Neural Networks. Hugo Attali, Thomas Papastergiou, Nathalie Pernelle, Fragkiskos D. Malliaros |
| 2025 | E2MoCase: A Dataset for Emotional, Event and Moral Observations in News Articles on High-impact Legal Cases. Candida Maria Greco, Lorenzo Zangari, Davide Picca, Andrea Tagarelli |
| 2025 | EAPformer: Entropy-Aware Patch Transformer for Multivariate Long-Term Time Series Forecasting. Jiahao Ling, Xuan Yang, Shimin Gong, Bo Gu |
| 2025 | ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models. Dongsheng Tian, Junzhe Jiang, Kai Zhang, Changchun Liu, Yu Yuan, Min Gao, Enhong Chen |
| 2025 | ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph. Langming Liu, Haibin Chen, Yuhao Wang, Yujin Yuan, Shilei Liu, Wenbo Su, Xiangyu Zhao, Bo Zheng |
| 2025 | ECLIPSE: Efficient Cross-Lingual Log Intelligence Parser with Semantic Entropy-Enhanced LCS Algorithm. Wei Zhang, Xianfu Cheng, Xiang Li, Jian Yang, Liying Zhang, Xiangyuan Guan, Zhoujun Li |
| 2025 | EEG-FSL: An EEG-Based Few-Shot Learning Framework for Music Recommendation. Ming He, Wenbo Luo, Yongjie Zheng, Junkai Zhang, Xiaolei Gao |
| 2025 | EFT-LR: Benchmarking Learning Rate Policies in Parameter-Efficient Large Language Model Fine-tuning. Md. Tasnim Jawad, Yanzhao Wu |
| 2025 | EFU: Enforcing Federated Unlearning via Functional Encryption. Samaneh Mohammadi, Vasileios Tsouvalas, Iraklis Symeonidis, Ali Balador, Tanir Ozcelebi, Francesco Flammini, Nirvana Meratnia |
| 2025 | EI-KGC: A Knowledge Graph Completion Model Based on Fine-Grained Element Interactions. Dong Li, Lingling Zhang, Yuhang Fan, Jingyou Sun, Xinyu Zhang, Baoyan Song |
| 2025 | ERASURE: A Modular and Extensible Framework for Machine Unlearning. Andrea D'Angelo, Claudio Savelli, Gabriele Tagliente, Flavio Giobergia, Elena Baralis, Giovanni Stilo |
| 2025 | ESED: Emotion-Specific Evidence Decomposition for Uncertainty-Aware Multimodal Emotion Recognition in Conversation. Zechang Xiong, Zhenyan Ji, Wenkang Kong, Jiuqian Dai, Shen Yin |
| 2025 | ESPRESSO: Privacy-Preserving Keyword Search on Decentralized Data with Differential Visibility Constraints. Mohamed Ragab, Mohamed Bahrani, Helen Oliver, Thanassis Tiropanis, Alexandra Poulovassilis, Adriane Chapman, George Roussos |
| 2025 | EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting. Yujin Park, Haejun Chung, Ikbeom Jang |
| 2025 | Edge-Variational Graph Neural Networks: Harnessing Weak Ties for Enhanced Default Risk Prediction. Feng Zhang, Jianfeng Chi, Rui Ma, Gang Chen, Rongqi Chen |
| 2025 | EdgeSLU: 1.58-bit Voice Control Framework. Seungeon Lee, Junuk Jung, Sanghyun Jung, Changbeom Kang, Jaeyoon Yoo |
| 2025 | EduCraft: A System for Generating Pedagogical Lecture Scripts from Long-Context Multimodal Presentations. Yucheng Wang, Jifan Yu, Daniel Zhang-Li, Joy Lim Jia Yin, Shangqing Tu, Haoxuan Li, Zhiyuan Liu, Huiqin Liu, Lei Hou, Juanzi Li, Bin Xu |
| 2025 | Effect of Model Merging in Domain-Specific Ad-hoc Retrieval. Taiga Sasaki, Takehiro Yamamoto, Hiroaki Ohshima, Sumio Fujita |
| 2025 | Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead. Durgesh Kalwar, Mayank Baranwal, Harshad Khadilkar |
| 2025 | Efficient Knowledge Graph Unlearning with Zeroth-order Information. Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui |
| 2025 | Efficient Knowledge Transfer from Large to Small Language Models via Low-Overhead Query Mechanism. Faizan Ahemad |
| 2025 | Efficient Mask Learning for Language Model Fine-Tuning. Minping Chen, Ruijia Yang, Zeyi Wen |
| 2025 | Efficient Multimodal Streaming Recommendation via Expandable Side Mixture-of-Experts. Yunke Qu, Liang Qu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | Eliminating Bias from Presentation Attack Detection Algorithms for Face Recognition Systems. Katarzyna Roszczewska |
| 2025 | Eliminating Sentiment Bias in Recommender Systems by Counterfactual Inference. Le Pan, Yuanjiang Cao, Chengkai Huang, Wenjie Zhang, Lina Yao |
| 2025 | EmoPerso: Enhancing Personality Detection with Self-Supervised Emotion-Aware Modelling. Lingzhi Shen, Xiaohao Cai, Yunfei Long, Imran Razzak, Guanming Chen, Shoaib Jameel |
| 2025 | Empirical Analysis on User Profile in Personalized LLMs. Bin Wu, Zhengyan Shi, Hossein A. Rahmani, Varsha Ramineni, Emine Yilmaz |
| 2025 | Empirical Study of Over-Squashing in GNNs and Causal Estimation of Rewiring Strategies. Danial Saber, Amirali Salehi-Abari |
| 2025 | Empowering Denoising Sequential Recommendation with Large Language Model Embeddings. Tongzhou Wu, Yuhao Wang, Maolin Wang, Chi Zhang, Xiangyu Zhao |
| 2025 | Empowering Large Language Model for Sequential Recommendation via Multimodal Embeddings and Semantic IDs. Yuhao Wang, Junwei Pan, Xinhang Li, Maolin Wang, Yuan Wang, Yue Liu, Dapeng Liu, Jie Jiang, Xiangyu Zhao |
| 2025 | Enabling Group Fairness in Machine Unlearning via Distribution Correction. Yezi Liu, Yanning Shen |
| 2025 | End-to-end Information Extraction from Archival Records with Multimodal Large Language Models. Mahsa Vafaie, Sven Hertling, Inger Banse-Strobel, Kevin Dubout, Harald Sack |
| 2025 | Energy-Guided Diffusion Sampling for Long-Term User Behavior Prediction in Reinforcement Learning-based Recommendation. Xiaocong Chen, Siyu Wang, Lina Yao |
| 2025 | EnhanceMyPrompt: Rewriting Chat Queries for Effective Response Generation from LLMs. Tushar Abhishek, Manas Jain, Shishir Hardia, Shreevignesh Suriyanarayanan, Sandra Anil, Rushabh Gandhi, Manish Gupta |
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| 2025 | Enhancing Dual-Target Cross-Domain Recommendation via Similar User Bridging. Qi Zhou, Xi Chen, Chuyu Fang, Jianji Wang, Chuan Qin, Fuzhen Zhuang |
| 2025 | Enhancing Fake News Video Detection via LLM-Driven Creative Process Simulation. Yuyan Bu, Qiang Sheng, Juan Cao, Shaofei Wang, Peng Qi, Yuhui Shi, Beizhe Hu |
| 2025 | Enhancing Graph Collaborative Filtering with FourierKAN Feature Transformation. Jinfeng Xu, Zheyu Chen, Jinze Li, Shuo Yang, Wei Wang, Xiping Hu, Edith C. H. Ngai |
| 2025 | Enhancing Information Diffusion Prediction via Multiple Granularity Hypergraphs and Position-aware Sequence Model. Weikai Jing, Yuchen Wang, Haotong Du, Songxin Wang, Xiaoyu Li, Chao Gao |
| 2025 | Enhancing Multi-Behavior Sequential Recommenders with Behavior-Aware Regularization. Yongfu Fan, Jin Chen, Yangzixuan Jiao, Ximu Zeng, Liwei Deng, Kai Zheng |
| 2025 | Enhancing Multimodal Entity Linking via Distillation and Multimodal Large Language Models. Jintao Huang, Dong Wang, Shasha Li, Yuanxi Peng, Ruochun Jin |
| 2025 | Enhancing Recommendation with Reliable Multi-profile Alignment and Collaborative-aware Contrastive Learning. Yibin Liu, Jianyu Zhang, Shijian Li |
| 2025 | Enhancing and Assessing Instruction-Following with Fine-Grained Instruction Variants. Jiuding Yang, Hui Liu, Weidong Guo, Yu Xu, Di Niu |
| 2025 | Ensemble Pruning via Graph Neural Networks. Yuanke Li, Yiyang Liu, Dongmian Zou, Hongfei Wang |
| 2025 | Entity-Aware Generative Retrieval for Personalized Contexts. Jihyeong Jeon, Jiwon Lee, Cheol Ryu, U Kang |
| 2025 | EvalAgent: Towards Evaluating News Recommender Systems with LLM-based Agents. Guangping Zhang, Peng Zhang, Jiahao Liu, Zhuoheng Li, Dongsheng Li, Hansu Gu, Tun Lu, Ning Gu |
| 2025 | Evaluating Differentially Private Generation of Domain-Specific Text. Yidan Sun, Viktor Schlegel, Srinivasan Kolumam Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath |
| 2025 | Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data. Bhawna Piryani, Jamshid Mozafari, Abdelrahman Abdallah, Antoine Doucet, Adam Jatowt |
| 2025 | Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems. Yueqing Xuan, Kacper Sokol, Mark Sanderson, Jeffrey Chan |
| 2025 | EvenOddML: Even and Odd Aggregation with Multi-Level Contrastive Learning for Bipartite Graph. Manasvi Aggarwal, Jahnavi Methukumalli, Deepanshu Bagotia, Suhas Powar |
| 2025 | EventPuzzle: A Benchmark for Multi-Perspective Event Prediction Based on Event Arguments. Guoxuan Ding, Junhao Zhou, Yuqing Li, Xiaobo Guo, Xin Wang, Daren Zha |
| 2025 | EvoFormer: Learning Dynamic Graph-Level Representations with Structural and Temporal Bias Correction. Haodi Zhong, Liuxin Zou, Di Wang, Bo Wan, Zhenxing Niu, Quan Wang |
| 2025 | Evolving Graph-Based Context Modeling for Multi-Turn Conversational Retrieval-Augmented Generation. Yiruo Cheng, Hongjin Qian, Fengran Mo, Yongkang Wu, Zhonghua Li, Qi Ye, Ji-Rong Wen, Zhicheng Dou |
| 2025 | Expert-Guided Diffusion Planner for Auto-Bidding. Yunshan Peng, Wenzheng Shu, Jiahao Sun, Yanxiang Zeng, Jinan Pang, Wentao Bai, Yunke Bai, Xialong Liu, Peng Jiang |
| 2025 | Explain and Monitor Deep Learning Models for Computer Vision using Obz AI. Neo Christopher Chung, Jakub Binda |
| 2025 | Explainable Numerical Claim Verification. Peter Røysland Aarnes |
| 2025 | Explicit Path CGR: Maintaining Sequence Fidelity in Geometric Representations. Sarwan Ali |
| 2025 | ExplorAct: Context-Aware Next Action Recommendations for Interactive Data Exploration. Dinuka Manohara de Zoysa, James Bailey, Renata Borovica-Gajic |
| 2025 | Exploration and Visualization of a Legal Knowledge Graph: A Human-Centered Approach. Sabine Wehnert, Pramod Kumar Bontha, Kilian Lüders, Huu Huong Giang Nguyen, Ernesto William De Luca |
| 2025 | Exploring Causal Effect of Social Bias on Faithfulness Hallucinations in Large Language Models. Zhenliang Zhang, Junzhe Zhang, Xinyu Hu, Huixuan Zhang, Xiaojun Wan |
| 2025 | Exploring Database Normalization Effects on SQL Generation. Ryosuke Kohita |
| 2025 | Exploring Diverse Sparse Network Structures via Dynamic Pruning with Weight Alignment. Jinwoo Kim, Jongyun Shin, Sangho An, Jangho Kim |
| 2025 | Exploring Iterative Refinement for Nested Named Entity Recognition with IoU-aware Denoising Diffusion. Qiaoxuan Yin, Jianquan Ouyang, Huanrong Tang |
| 2025 | Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi |
| 2025 | Exploring the Impact of Warnings on User Perception towards AI-Generated Content in Search Results. Pia Donabauer, David Elsweiler |
| 2025 | Exploring the Potential of Pre-Trained Language Models in Long-Term Semantic Scene Change Prediction Using Variable Scene Graphs. Haoyi Xiu, Xin Liu, Taehoon Kim, Kyoung-Sook Kim |
| 2025 | Exploring the Tradeoff Between Diversity and Discrimination for Continuous Category Discovery. Ruobing Jiang, Yang Liu, Haobing Liu, Yanwei Yu, Chunyang Wang |
| 2025 | Exploring the Upper Limits of Text-Based Collaborative Filtering Using Large Language Models: Discoveries and Insights. Ruyu Li, Wenhao Deng, Yu Cheng, Zheng Yuan, Jiaqi Zhang, Fajie Yuan |
| 2025 | Externalizing Social-Cognitive Structures for User Modeling: Toward Theory-Driven Profiling with LLMs. Taehyung Noh, Seungwan Jin, Haein Yeo, Kyungsik Han |
| 2025 | Extracting Global Temporal Patterns Within Short Look-Back Windows for Traffic Forecasting. Bo Sun, Zhe Wu, Zhiyuan Deng, Li Su, Qingfang Zheng |
| 2025 | Extreme Multi-Label Completion for Semantic Document Tagging with Taxonomy-Aware Parallel Learning. Julien Audiffren, Christophe Broillet, Ljiljana Dolamic, Philippe Cudré-Mauroux |
| 2025 | FAIR Data Assessment Using LLMs: The Fair-Way. Anmol Sharma, Sulayman K. Sowe, Soo-Yon Kim, Sayed Hoseini, Fidan Limani, Zeyd Boukhers, Christoph Lange, Stefan Decker |
| 2025 | FAIR-SE: Framework for Analyzing Information Disparities in Search Engines with Diverse LLM-Generated Personas. Jaebeom You, Seung-Kyu Hong, Ling Liu, Kisung Lee, Hyuk-Yoon Kwon |
| 2025 | FASE: Feature-Aligned Scene Encoding for Open-Vocabulary Object Detection in Remote Sensing. Hyeonsu Hwang, Simon S. Woo |
| 2025 | FEDDGCN: A Frequency-Enhanced Decoupling Dynamic Graph Convolutional Network for Traffic Flow Prediction. Wendong Zhang, Ruobai Xiang, Zhifang Liao, Peng Lan, Qihao Liang |
| 2025 | FLAIR: Feedback Learning for Adaptive Information Retrieval. William Zhang, Yiwen Zhu, Yunlei Lu, Mathieu B. Demarne, Wenjing Wang, Kai Deng, Nutan Sahoo, Katherine Lin, Miso Cilimdzic, Subru Krishnan |
| 2025 | FR-LoRA: Fisher Regularized LoRA for Multilingual Continual Learning. Sayanta Adhikari, Sanjay Agrawal, Vivek Sembium |
| 2025 | FROG: Fair Removal on Graph. Ziheng Chen, Jiali Cheng, Hadi Amiri, Kaushiki Nag, Lu Lin, Sijia Liu, Gabriele Tolomei, Xiangguo Sun |
| 2025 | FUTURE: Flexible Unlearning for Tree Ensemble. Ziheng Chen, Jin Huang, Jiali Cheng, Yuchan Guo, Mengjie Wang, Lalitesh Morishetti, Kaushiki Nag, Hadi Amiri |
| 2025 | Fact or Facsimile? Evaluating the Factual Robustness of Modern Retrievers. Haoyu Wu, Qingcheng Zeng, Kaize Ding |
| 2025 | FairAD: Computationally Efficient Fair Graph Clustering via Algebraic Distance. Minh Phu Vuong, Young-Ju Lee, Iván Ojeda-Ruiz, Chul-Ho Lee |
| 2025 | FairRegBoost: An End-to-End Data Processing Framework for Fair and Scalable Regression. Nico Lässig, Melanie Herschel |
| 2025 | FairSplit: Mitigating Bias in Graph Neural Networks through Sensitivity-based Edge Partitioning. Indranil Ojha, Kushal Bose, Swagatam Das |
| 2025 | Fairness in Language Models: A Tutorial. Zichong Wang, Avash Palikhe, Zhipeng Yin, Wenbin Zhang |
| 2025 | FakeChain: Exposing Shallow Cues in Multi-Step Deepfake Detection. Minji Heo, Simon S. Woo |
| 2025 | Fast Outlier Detection in Oblique Subspaces. Bowen Li, Charu C. Aggarwal, Peixiang Zhao |
| 2025 | FedFMD: Fairness-Driven Adaptive Aggregation in Federated Learning via Mahalanobis Distance. Xiuting Weng, Lixing Yu, Shaojie Zhan, Ruizhi Pu, Xiaofei Liu |
| 2025 | FedGC: Contrastive-enhanced Subgraph Federated Learning with Grouping Pseudo-Label. Keao Xi, Nannan Wu, Yiming Zhao, Wenjun Wang |
| 2025 | FedGVD: Efficient Federated Graph Learning via Unidirectional Distillation with Dynamic Virtual Nodes. Zhehao Dai, Guojiang Shen, Yuyue Hu, Jiaxin Du, Xiao Han, Xiangjie Kong |
| 2025 | FedSTEP: Asynchronous and Staleness-Aware Personalization for Efficient Federated Learning. Gang Yan, Jian Li, Wan Du |
| 2025 | Federated Approximate Query Processing Based on Deep Models. Yutong Xie, Qingzhi Ma, Lei Zhao, An Liu |
| 2025 | Federated Continual Recommendation. Jaehyung Lim, Wonbin Kweon, Woojoo Kim, Junyoung Kim, Seongjin Choi, Dongha Kim, Hwanjo Yu |
| 2025 | Federated Gradient Boosting for Financial Fraud Detection: An Empirical Study in the Banking Sector. Dae-Young Park, In-Young Ko, Taek-Ho Lee, Junghye Lee |
| 2025 | FediData: A Comprehensive Multi-Modal Fediverse Dataset from Mastodon. Min Gao, Haoran Du, Wen Wen, Qiang Duan, Xin Wang, Yang Chen |
| 2025 | Few-Shot Knowledge Graph Completion via Transfer Knowledge from Similar Tasks. Lihui Liu, Zihao Wang, Dawei Zhou, Ruijie Wang, Yuchen Yan, Bo Xiong, Sihong He, Hanghang Tong |
| 2025 | Filtered One-Shot Training for Quantum Architecture Search. Seok Bin Son, Samuel Yen-Chi Chen, Joongheon Kim, Soohyun Park |
| 2025 | FinCast: A Foundation Model for Financial Time-Series Forecasting. Zhuohang Zhu, Haodong Chen, Qiang Qu, Vera Chung |
| 2025 | FinD Jieyuan Mei, Jindong Tian, Ronghui Xu, Hanyue Wei, Chenjuan Guo, Bin Yang |
| 2025 | FinS-Pilot: A Benchmark for Online Financial RAG System. Feng Wang, Yiding Sun, Jiaxin Mao, Xue Wei, Danqing Xu |
| 2025 | FinSage: A Multi-aspect RAG System for Financial Filings Question Answering. Xinyu Wang, Jijun Chi, Zhenghan Tai, Tung Sum Thomas Kwok, Hailin He, Zhuhong Li, Yuchen Hua, Muzhi Li, Peng Lu, Suyuchen Wang, Yihong Wu, Jerry Huang, Jingrui Tian, Fengran Mo, Yufei Cui, Ling Zhou |
| 2025 | Fine-Grained Emotion Recognition via In-Context Learning. Zhaochun Ren, Zhou Yang, Chenglong Ye, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao |
| 2025 | Fine-Grained Graph Rationalization. Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong |
| 2025 | Flexiffusion: Training-Free Segment-Wise Neural Architecture Search for Efficient Diffusion Models. Hongtao Huang, Xiaojun Chang, Lina Yao |
| 2025 | FnRGNN: Distribution-aware Fairness in Graph Neural Network. Soyoung Park, Sungsu Lim |
| 2025 | FollowGPT: A Framework of Follow-up Question Generation for Large Language Models via Conversation Log Mining. Ziliang Zhao, Shiren Song, Zhicheng Dou |
| 2025 | Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling. Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan |
| 2025 | Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes. Zhaoyan Wang, Xiangchi Song, In-Young Ko |
| 2025 | Forecasting the Buzz: Enriching Hashtag Popularity Prediction with LLM Reasoning. Yifei Xu, Jiaying Wu, Herun Wan, Yang Li, Zhen Hou, Min-Yen Kan |
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| 2025 | Frequency-Conditioned Diffusion Models for Time Series Generation. Seungwoo Jeong, Junghyo Sohn, Jaehyun Jeon, Heung-Il Suk |
| 2025 | Frequency-Decoupled Distillation for Efficient Multimodal Recommendation. Ziyi Zhuang, Hongji Li, Junchen Fu, Jiacheng Liu, Joemon M. Jose, Youhua Li, Yongxin Ni |
| 2025 | Frequency-Domain Disentanglement-Fusion and Dual Contrastive Learning for Sequential Recommendation. Shuo Xiao, Jingtao Zhang, Chaogang Tang, Zhenzhen Huang |
| 2025 | From Anchors to Answers: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models. Yanbiao Ji, Chang Liu, Xin Chen, Dan Luo, Mei Li, Yue Ding, Wenqing Lin, Hongtao Lu |
| 2025 | From Bicliques to BiFlexi Cliques: A New Era of Bipartite Subgraph Discovery. Taejoon Han, Song Kim, Woungjae Choo, Junghoon Kim |
| 2025 | From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification. Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim |
| 2025 | From Menus to the Interactive Food-Ordering Systems. Min-Ji Kim, Seong-Jin Park, Jaehwan Ha, Ju-Won Seo, Dinara Aliyeva, Kang-Min Kim |
| 2025 | From Patterns to Predictions: A Shapelet-Based Framework for Directional Forecasting in Noisy Financial Markets. Juwon Kim, Hyunwook Lee, Hyotaek Jeon, Seungmin Jin, Sungahn Ko |
| 2025 | From Policy Comparison to Process Consistency and Beyond. Yifan Xu, Yujia Yin, Yiming Xing, Yifan Chen |
| 2025 | From Post To Personality: Harnessing LLMs for MBTI Prediction in Social Media. Tian Ma, Kaiyu Feng, Yu Rong, Kangfei Zhao |
| 2025 | From Rules to Flexibility: A Resource and Method for SEC Item Extraction in Post-2021 10-K Filings. Xiao Li, Changhong Jin, Ruihai Dong |
| 2025 | Frontiers in Graph Machine Learning for the Large Model Era. Qingyun Sun, Ziwei Zhang, Xingcheng Fu, Yangqiu Song, Jianxin Li, Philip S. Yu |
| 2025 | Frozen in the Middle: Hidden States Remain Unchanged Across Intermediate Layers of Language Models. Pavel Tikhonov, Dmitry Ilvovsky |
| 2025 | Full-Atom Protein-Protein Interaction Prediction via Atomic Equivariant Attention Network. Chunchen Wang, Cheng Yang, Wenchuan Yang, Le Song, Chuan Shi |
| 2025 | FunLoc: A Novel Function-level Bug Localization Framework Enhanced by Contrastive and Active Learning Strategies. Ziye Zhu, Liangliang Peng, Yu Wang, Yun Li, Xianzhong Long |
| 2025 | G2IFS: Global-to-Instance Feature Selection in Deep Recommender System. Lijin Chen, Linjing You, Jiabao Lu, Xiayuan Huang, Xiangli Nie |
| 2025 | GCLS Qi Wen, Yiyang Zhang, Yutong Ye, Yingbo Zhou, Nan Zhang, Xiang Lian, Mingsong Chen |
| 2025 | GCVPN: A Graph Convolutional Visual Prior-Transform Network for Actual Occluded Image Recognition. Lei Wang, Nannan Wu, Huaming Wu, Wei Yu, Fan Zhang, Shuo Chen |
| 2025 | GCoder: Improving Large Language Model for Generalized Graph Reasoning. Qifan Zhang, Xiaobin Hong, Jianheng Tang, Nuo Chen, Yuhan Li, Wenzhong Li, Jing Tang, Jia Li |
| 2025 | GCondenser: Benchmarking Graph Condensation. Yilun Liu, Ruihong Qiu, Zi Huang |
| 2025 | GFlowNet with Gradient-based Optimization for Bayesian Network Structure Learning. Zhu Yang, Kun Yue, Zhiwei Qi, Liang Duan, Jianyu Li |
| 2025 | GLCN: Treatment Effect Estimation via Global-Local Networks with Adversarial Debiasing. Siwei Qiang |
| 2025 | GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning. Dan Kalifa, Uriel Singer, Kira Radinsky |
| 2025 | GRIT: An Accurate and Efficient Graph Stream Summarization for Temporal Query. Jingxian Hu, Guozhang Sun, Xin Wang, Yuhai Zhao, Yuan Li, Xingwei Wang |
| 2025 | GRLND: A Graph Reinforcement Learning Framework for Network Dismantling. Hongbo Qu, Xu Wang, Yurong Song, Wei Ni, Guo-Ping Jiang, Quan Z. Sheng |
| 2025 | GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction. Zhijie Lin, Zhuofeng Li, Chenglei Dai, Wentian Bao, Shuai Lin, Enyun Yu, Haoxiang Zhang, Liang Zhao |
| 2025 | GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning. Yu Song, Zhigang Hua, Yan Xie, Jingzhe Liu, Bo Long, Hui Liu |
| 2025 | GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs. Hewen Wang, Renchi Yang, Xiaokui Xiao |
| 2025 | GenR1-Searcher: Curriculum Reinforcement Learning for Dynamic Retrieval and Document Generation. Yu Wang, Yixuan Zhao, Renrui Duan, Jingyuan Li, Yuanzhuo Wang, Kun Zhang |
| 2025 | General Adaptive Memory Allocation for Learned Bloom Filters. You Shang, Xiang He, Ruiyuan Li, Yingying Sun, Guanyao Li, Guangchao Yang, Junbo Zhang, Yu Zheng |
| 2025 | Generalizing Query Performance Prediction under Retriever and Concept Shifts via Data-driven Correction. Jaehwan Jung, Jong-June Jeon |
| 2025 | Generative Data Augmentation in Graph Contrastive Learning for Recommendation. Yansong Wang, Qihui Lin, Junjie Huang, Tao Jia |
| 2025 | Generative Models for Synthetic Data: Transforming Data Mining in the GenAI Era. Dawei Li, Yue Huang, Ming Li, Tianyi Zhou, Xiangliang Zhang, Huan Liu |
| 2025 | Generative Recommendation with Semantic IDs: A Practitioner's Handbook. Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah |
| 2025 | GeoIndia V2: A Unified Graph and Language Model for Context-Aware Geocoding. Arpit Tiwari, Bhavuk Singhal, Anshu Aditya, Shubham Jain, Debashis Mukherjee, Debdoot Mukherjee |
| 2025 | Geometric Heterogeneous Graph Neural Network for Protein-Ligand Binding Affinity Prediction. Feng Huang, Yuhang Xia, Ziyan Wang, Liuqing Yang, Wen Zhang |
| 2025 | Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness. Wenchuan Mu, Kwan Hui Lim |
| 2025 | Give Me Some SALT: Structure-Aware Link Modeling for Temporal Weighted Link Prediction. Ting Li, Hanchen Wang, Yiran Li, Xiaolei Liu |
| 2025 | Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework. Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | Google Ads Content Moderation with RAG. Yuan Wang, Wei Qiao, Jingxiang Li, Tiantian Fang, Eric Xiao, Megan Oftelie, Zhimin Wang, Yintao Liu, Jimin Li, Yi-Ting Chen, Zhongli Ding, Enming Luo |
| 2025 | GraFS: An Integrated GNN-LLM Approach for Inferring Best Functional Substitute Products. Favour Nerrise, Edward W. Huang, Xiaonan Ji, Karthik Subbian, Danai Koutra |
| 2025 | Graph Neural Network Architecture Search via Hybrid Genetic Algorithm with Parallel Tempering. Maciej Krzywda |
| 2025 | GraphIAM: Two-Stage Algorithm for Improving Class-Imbalanced Node Classification on Attribute-Missing Graphs. Riting Xia, Chunxu Zhang, Xueyan Liu, Anchen Li, Yan Zhang |
| 2025 | GraphRCG: Self-Conditioned Graph Generation. Song Wang, Zhen Tan, Xinyu Zhao, Tianlong Chen, Huan Liu, Jundong Li |
| 2025 | Gravity-GNN: Deep Reinforcement Learning Guided Space Gravity-based Graph Neural Network. Huaming Wu, Lei Tian, Chaogang Tang, Pengfei Jiao, Minxian Xu, Huijun Tang |
| 2025 | Green by Design: Detecting Environmental Claims in Corporate Web Content. Diya Saha, Manjira Sinha, Tirthankar Dasgupta |
| 2025 | Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation. Hasan Yücedag, Adam Jatowt |
| 2025 | H-PRM: A Pluggable Hotword Pre-Retrieval Module for Various Speech Recognition Systems. Huangyu Dai, Lingtao Mao, Ben Chen, Zihan Wang, Zihan Liang, Ying Han, Chenyi Lei, Han Li |
| 2025 | HCLeK: Hierarchical Compression of Legal Knowledge for Retrieval-Augmented Generation. Jianhui Yang, Huanghai Liu, Mingruo Yuan, Yiran Hu, Yun Liu, Weixing Shen, Ben Kao |
| 2025 | HF-RAG: Hierarchical Fusion-based RAG with Multiple Sources and Rankers. Payel Santra, Madhusudan Ghosh, Debasis Ganguly, Partha Basuchowdhuri, Sudip Kumar Naskar |
| 2025 | HGAurban: Heterogeneous Graph Autoencoding for Urban Spatial-Temporal Learning. Qianru Zhang, Xinyi Gao, Haixin Wang, Dong Huang, Siu-Ming Yiu, Hongzhi Yin |
| 2025 | HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems. Haoqiang Yang, Congde Yuan, Kun Bai, Mengzhuo Guo, Wei Yang, Chao Zhou |
| 2025 | HRCformer: Hierarchical Recursive Convolution-Transformer with Multi-Scale Adaptive Recalibration for Time Series Forecasting. Dejiang Zhang, Lianyong Qi, Yuwen Liu, Xucheng Zhou, Jianye Xie, Haolong Xiang, Xiaolong Xu, Xuyun Zhang, Yang Cao, Yang Zhang |
| 2025 | HUSK: A Hierarchically Structured Urban Knowledge Graph Dataset for Multi-Level Spatial Tasks. Qiqi Wang, Guanjin Wang, Yihong Pan, Zhipeng Lin, Huijia Li, Qian Liu, Kaiqi Zhao |
| 2025 | Harnessing Commonsense: LLM-Driven Knowledge Integration for Fine-Grained Sentiment Analysis. Kai Zhang, Yupeng Han |
| 2025 | Harnessing Large Language Models for Group POI Recommendations. Jing Long, Liang Qu, Junliang Yu, Tong Chen, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2025 | Harnessing Light for Cold-Start Recommendations: Leveraging Epistemic Uncertainty to Enhance Performance in User-Item Interactions. Yang Xiang, Li Fan, Chenke Yin, Menglin Kong, Chengtao Ji |
| 2025 | Hearable Image: On-Device Image-Driven Sound Effect Generation for Hearing What You See. Deokjun Eom, Nahyun Kim, Woo Hyun Nam, Kyung-Rae Kim, Chaebin Im, Jungwon Park |
| 2025 | Hearing the Meaning, Not the Mess: Beyond Literal Transcription for Spoken Language. Min Sun, Ke Xu, Jiarong Liu, Jifan Yang, Yan Fang, Weizheng Wang, Qipeng Xie, Shuxin Zhong, Kaishun Wu |
| 2025 | Heterogeneous Influence Maximization in User Recommendation. Hongru Hou, Jiachen Sun, Wenqing Lin, Wendong Bi, Xiangrong Wang, Deqing Yang |
| 2025 | Hierarchy-Consistent Learning and Adaptive Loss Balancing for Hierarchical Multi-Label Classification. Ruobing Jiang, Mengzhe Liu, Haobing Liu, Yanwei Yu |
| 2025 | High-Context Empathy in Conversations for Large Language Models. Yuyan Chen, Lei Xia, Jinghan Cao, Zhendong Hou, Weinan Dai, Zhixu Li |
| 2025 | High-Order Moments Conditional Domain Adaptation Networks for Wearable Human Activity Recognition. Indrajeet Ghosh, Garvit Chugh, Abu Zaher Md Faridee, Nirmalya Roy |
| 2025 | Higher-Order Information Matters: A Representation Learning Approach for Social Bot Detection. Min Gao, Qiang Duan, Boen Liu, Yu Xiao, Xin Wang, Yang Chen |
| 2025 | Higher-order Structure and Semantics-enhanced User Profiling for Recommendation. Yanchao Tan, Xinyi Huang, Zhijun Chen, Hang Lv, Hengyu Zhang, Wei Huang, Guofang Ma |
| 2025 | How to Make Museums More Interactive? Case Study of Artistic Chatbot. Filip J. Kucia, Anna Wróblewska, Bartosz Grabek, Szymon D. Trochimiak |
| 2025 | HuggingGraph: Understanding the Supply Chain of LLM Ecosystem. Mohammad Shahedur Rahman, Peng Gao, Yuede Ji |
| 2025 | Human-Centric AI: From Explainability and Trustworthiness to Actionable Ethics. Jaesik Choi, Bohyung Han, Myoung-Wan Koo, Kyungman Bae, Chang D. Yoo, Simon S. Woo, Wojciech Samek |
| 2025 | Hybrid Chu Zhao, Shengjie Dong, Yuhai Zhao, Yuan Li, Zhengkui Wang, Xingwei Wang |
| 2025 | HyperGenFL: Hypernetwork-Generated Model Aggregation in Federated Learning. Jerry Chen, Qikai Lu, Ruiqing Tian, Di Niu, Baochun Li |
| 2025 | Hyperbolic Prompt Learning for Incremental Event Detection with LLMs. Xiujin Zhang, Wenxin Jin, Haotian Hong, Pengfei Zhang, Jiting Li, Kongjing Gu, Hao Peng, Li Sun |
| 2025 | Hypercomplex Prompt-aware Multimodal Recommendation. Zheyu Chen, Jinfeng Xu, Hewei Wang, Shuo Yang, Zitong Wan, Haibo Hu |
| 2025 | Hyperspherical Dynamic Multi-Prototype with Arguments Dependencies and Role Consistency for Event Argument Extraction. Xiaojia Huang, Ruifang He, Fei Huang, Bo Wang, Sen Yao, Xiaohong Li |
| 2025 | IARD: Intruder Activity Recognition Dataset for Threat Detection. Shehzad Ali, Md Tanvir Islam, Ik Hyun Lee, Saeed Anwar, Javier Del Ser, Khan Muhammad |
| 2025 | IPNet: An Interaction Pattern-aware Neural Network for Temporal Link Prediction. Qingyang Zhang, Yitong Wang, Xinjie Lin |
| 2025 | ITL-LIME: Instance-Based Transfer Learning for Enhancing Local Explanations in Low-Resource Data Settings. Rehan Raza, Guanjin Wang, Kok Wai Wong, Hamid Laga, Marco Fisichella |
| 2025 | IclForge: Enhancing In-Context Learning with Evolutionary Algorithms under Budgeted Annotation. Vijit Malik, Atul Pande, Anirban Majumder |
| 2025 | Identifying Critical Segments Affecting Piano Performance Evaluation. Hyerim Jeon, Wen-Syan Li |
| 2025 | Image Hashing Based on Hamming Ball Spacing. Zhaomeng Ma, Haoran Chang, Hailong Shen, Yanzhi Song |
| 2025 | Improved Personalized Headline Generation via Denoising Fake Interests from Implicit Feedback. Kejin Liu, Junhong Lian, Xiang Ao, Ningtao Wang, Xing Fu, Yu Cheng, Weiqiang Wang, Xinyu Liu |
| 2025 | Improving Content Anomaly Detection on Social Media via Counterfactual Mitigation of Social Event-Induced Bias. Jiaxin Li, Geng Zhao |
| 2025 | Improving Graph Autoencoders by Hard Sample Refinement with Global Similarity. Ge Chen, Yulan Hu, Sheng Ouyang, Cuicui Luo |
| 2025 | Improving Rare and Common ICD Coding via a Multi-Agent LLM-Based Approach. Rumeng Li, Xun Wang, Hong Yu |
| 2025 | Improving Recommendation Fairness via Graph Structure and Representation Augmentation. Tongxin Xu, Wenqiang Liu, Chenzhong Bin, Cihan Xiao, Zhixin Zeng, Tianlong Gu |
| 2025 | Improving Text Embedding Models with Positive-aware Hard-negative Mining. Gabriel de Souza Pereira Moreira, Radek Osmulski, Mengyao Xu, Ronay Ak, Benedikt Schifferer, Even Oldridge |
| 2025 | Improving the Safety of Medication Recommendation via Graph Augmented Patient Similarity Network. Ming He, Yongjie Zheng, Changle Li, Man Zhou |
| 2025 | Imputing Multi-Agent Trajectories from Event and Snapshot Data in Soccer. Geonhee Jo, Miru Hong, Han-Jun Choi, Minho Lee, Pascal Bauer, Sang-Ki Ko |
| 2025 | In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash |
| 2025 | Incremental Learning for LLM-based Tokenization and Recommendation. Haihan Shi, Xinyu Lin, Wenjie Wang, Wentao Shi, Junwei Pan, Jie Jiang, Fuli Feng |
| 2025 | Information Diffusion Prediction Based on User Multi-Dimensional Feature Interaction. Jiaxing He, Yang Fang, Tianyang Shao, Xiang Zhao |
| 2025 | InstANNS: Scalable Approximate Nearest Neighbor Search via Cost-Efficient In-Storage Processing. Bonggeun Sim, Yushin Kim, Minseo Kim, Yeonhong Park, Jae W. Lee |
| 2025 | Integrating Time Series into LLMs via Multi-layer Steerable Embedding Fusion for Enhanced Forecasting. Zhuomin Chen, Dan Li, Jiahui Zhou, Shunyu Wu, Haozheng Ye, Jian Lou, See-Kiong Ng |
| 2025 | InterFormer: Effective Heterogeneous Interaction Learning for Click-Through Rate Prediction. Zhichen Zeng, Xiaolong Liu, Mengyue Hang, Xiaoyi Liu, Qinghai Zhou, Chaofei Yang, Yiqun Liu, Yichen Ruan, Laming Chen, Yuxin Chen, Yujia Hao, Jiaqi Xu, Jade Nie, Xi Liu, Buyun Zhang, Wei Wen, Siyang Yuan, Hang Yin, Xin Zhang, Kai Wang, Wen-Yen Chen, Yiping Han, Huayu Li, Chunzhi Yang, Bo Long, Philip S. Yu, Hanghang Tong, Jiyan Yang |
| 2025 | Interactive Text-to-Visualization: Refining Visualization Outputs Through Natural Language User Feedback. Xubang Xiong, Raymond Chi-Wing Wong, Yuanfeng Song |
| 2025 | International Workshop on Multimodal Generative Search and Recommendation (MMGenSR@CIKM 2025). Yi Bin, Haoxuan Li, Haokai Ma, Yang Zhang, Wenjie Wang, Yunshan Ma, Yang Yang, Tat-Seng Chua |
| 2025 | Internet of Things Dataset for Human Operator Activity Recognition in Industrial Environment. Abdur Forkan, Prem Prakash Jayaraman, Clarence Antonmeryl, Federico Montori, Abhik Banerjee, Kaneez Fizza, Dimitrios Georgakopoulos |
| 2025 | Interpretable Meta-weighting Sparse Neural Additive Networks for Datasets with Label Noise and Class Imbalance. Xuelin Zhang, Hong Chen, Lingjuan Wu |
| 2025 | Invariant Treatment Effect Estimation via Consistent Constraints and Information Bottleneck. Siwei Qiang |
| 2025 | Investigating the Usage and Evaluation of Quantum Computing Technologies for Information Access. Andrea Pasin |
| 2025 | Is This News Still Interesting to You?: Lifetime-aware Interest Matching for News Recommendation. Seongeun Ryu, Yunyong Ko, Sang-Wook Kim |
| 2025 | Jailbreaking LLMs Through Alignment Vulnerabilities in Out-of-Distribution Settings. Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Philip S. Yu, Xiangliang Zhang |
| 2025 | Jailbreaking LLMs Through Cross-Cultural Prompts. Damin Kim, Minseok Hur, Jeongin Lee, Moohong Min |
| 2025 | JustEva: A Toolkit to Evaluate LLM Fairness in Legal Knowledge Inference. Zongyue Xue, Siyuan Zheng, Shaochun Wang, Yiran Hu, Yuxin Yao, Shengran Wang, Haitao Li, Qingyao Ai, Yiqun Liu, Yun Liu, Weixing Shen |
| 2025 | KALE: Knowledge Aggregation for Label-free Model Enhancement. Yuebin Xu, Xuemei Peng, Zhiyi Chen, Zeyi Wen |
| 2025 | KIEPrompter: Leveraging Lightweight Models' Predictions for Cost-Effective Key Information Extraction using Vision LLMs. Lorenzo Vaiani, Yihao Ding, Luca Cagliero, Jean Lee, Paolo Garza, Josiah Poon, Soyeon Caren Han |
| 2025 | KP-Agent: Keyword Pruning in Sponsored Search Advertising via LLM-Powered Contextual Bandits. Hou-Wan Long, Yicheng Song, Zidong Wang, Tianshu Sun |
| 2025 | KRAFT: A Knowledge Graph-Based Framework for Automated Map Conflation. Farnoosh Hashemi, Laks V. S. Lakshmanan |
| 2025 | KUG: Joint Enhancement of Internal and External Knowledge for Retrieval-Augmented Generation. Mingyang Li, Shisong Chen, Shengkun Tu, Ziyi Du, Jinghao Zhang, Zhixu Li, Yanghua Xiao |
| 2025 | KV-Auditor: Auditing Local Differential Privacy for Correlated Key-Value Estimation. Jingnan Xu, Leixia Wang, Xiaofeng Meng |
| 2025 | KnowFE : A Hybrid AI System for Explainable Feature Engineering using Knowledge-Guided Reinforcement Learning. Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad Ouziri |
| 2025 | L3X: Long Object List Extraction from Long Documents. Sneha Singhania, Simon Razniewski, Gerhard Weikum |
| 2025 | LCHGNN: Towards Distributed Hypergraph Neural Network Training Based on Communication Graphs with Lightweight Communication Optimization. Taibo Wang, Yu Gu, Xinning Cui, Zhen Song, Xiaohua Li, Fangfang Li |
| 2025 | LEI: Reinforced Multi-Object Cache Admission. Hexuan Lv, Yuhai Zhao, Sice Wang |
| 2025 | LGC-CR: Few-shot Knowledge Graph Completion via Local Global Contrastive Learning and LLM-Guided Refinement. Yiming Xu, Qi Song, Yihan Wang, Wangqiu Zhou, Junli Liang |
| 2025 | LHMformer: Long-Range Historical Memory-Enhanced Transformer for Traffic Forecasting. Guoping Qi, Jihong Liu |
| 2025 | LLM-Driven Attributes Extraction in eCommerce. Ksenia Riabinova, Kilian Merkelbach |
| 2025 | LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion. Kangjia Fan, Yilong Zhao, Daifeng Li, Changze Lin, Weijun Zhang, Zhiwen Zhong |
| 2025 | LLM-Enhanced Linear Autoencoders for Recommendation. Jaewan Moon, Seongmin Park, Jongwuk Lee |
| 2025 | LLM-OFA: On-the-Fly Adaptation of Large Language Models to Address Temporal Drift Across Two Decades of News. Pouya Ghahramanian, Sepehr Bakhshi, Fazli Can |
| 2025 | LLM-Powered Information Extraction for the Dairy Financial Domain: Tackling Data Scarcity and Ambiguity. Chunyan An, Yuying Huang, Qiang Yang, Siyu Yuan, Zhixu Li |
| 2025 | LLM-as-a-Judge in Entity Retrieval: Assessing Explicit and Implicit Relevance. Mohammad Hossein Saliminabi, Negar Arabzadeh, Seyed Mohammad Hosseini, Dimitrios Androutsos, Morteza Zihayat, Ebrahim Bagheri |
| 2025 | LLM-based Interactive Coding Education via Predictive Query Management and Student-Centered Fine-Tuning: Design and Implementation with 1500-Student Class Data. Geonjae Youn, Jonghoon Lee, Joongheon Kim, Chuck Yoo |
| 2025 | LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2025 | LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko |
| 2025 | LLM4IA: Index Advising Via Large Language Models. Xian Lyu, Junbiao Zhang, Yihang Zheng, Guoliang Li, Chen Lin |
| 2025 | LLMAEL: Large Language Models are Good Context Augmenters for Entity Linking. Amy Xin, Yunjia Qi, Zijun Yao, Fangwei Zhu, Kaisheng Zeng, Bin Xu, Lei Hou, Juanzi Li |
| 2025 | LLMCBR: Large Language Model-based Multi-View and Multi-Grained Learning for Bundle Recommendation. Shiqin Liu, Chaozhuo Li, Minjun Zhao, Litian Zhang, Jiajun Bu |
| 2025 | LLMCE: Adapting LLMs with Adversarial Debiasing for Counterfactual Estimation over Time. Siwei Qiang |
| 2025 | Land Deformation Prediction via Multi-modal Adaptive Association Learning. Wanghui Qiu, Shiyan Hu, Chenjuan Guo, Wenbing Shi, Lina Yu, Ming Gao, Aoying Zhou, Bin Yang |
| 2025 | LangPTune: Optimizing Language-based User Profiles for Recommendation. Zhaolin Gao, Joyce Zhou, Yijia Dai, Thorsten Joachims |
| 2025 | Large Model Annotation-Enhanced Spatio-Temporal Fusion Knowledge Tracing Model. Tianyu Cai, Xiaodi Huang, Tao Zhou, Yanting Li, Shenggen Ju |
| 2025 | Latent Graph Structure Learning for Large-Scale Traffic Forecasting. Meng Wang, Longgang Xiang, Chenhao Wu, Zejiao Wang, Xin Chen, Shaozu Xie, Ying Luo |
| 2025 | Latent Variable Modeling for Robust Causal Effect Estimation. Tetsuro Morimura, Tatsushi Oka, Yugo Suzuki, Daisuke Moriwaki |
| 2025 | LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models. Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu, Andrew Choi, Qirui Ye, Liang Zhao |
| 2025 | Lead-LagNet: Exploiting Lead-Lag Dependencies for Cross-Series Temporal Prediction. Zhilong Xie, Shaofei Shen, Jiwen Huang, Rui Cheng, Qing Li |
| 2025 | LeadFairRec: LLM-enhanced Discriminative Counterfactual Debiasing for Two-sided Fairness in Recommendation. Yimin Hou, Yue Kou, Derong Shen, Xiangmin Zhou, Dong Li, Tiezheng Nie, Ge Yu |
| 2025 | Learnable Orthogonal Decomposition for Non-Regressive Prediction for PDE. Yun Young Choi, Kyujin Han, Joohwan Ko, Sangwook Baek, Seunghwan Lee |
| 2025 | Learning Conditional Probability Distributions for Robust Probabilistic Inference in Bayesian Network. Xinran Wu, Kun Yue, Huashuai Liu, Liang Duan |
| 2025 | Learning Global-Local Multi-Scale Node Embeddings with Random Walks and Landmark-Guided Optimization. Ali Assi, Nour El Islem Karabadji, Mohamed Elati, Wajdi Dhifli |
| 2025 | Learning Graph Edit Distance via Node Matching Patterns. JunKyu Lee, Jongik Kim |
| 2025 | Learning Invariant Reliability under Diverse Contexts for Robust Multimedia Recommendation. Yijun Sheng, Pui Ieng Lei, Yanyan Liu, Ximing Chen, Zhiguo Gong |
| 2025 | Learning Optimal Personalised Reservation Prices in Impression Ad Auctions with Mixture Density Networks. Dmitrii Moor, Emma Zetterdahl, Paul van Vliet, Zhenwen Dai, Mounia Lalmas |
| 2025 | Learning Short-Term and Long-Term Patterns of High-Order Dynamics in Real-World Networks. Yunyong Ko, Da Eun Lee, Song Kyung Yu, Sang-Wook Kim |
| 2025 | Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu |
| 2025 | Learning to Comparison-Shop. Jie Tang, Daochen Zha, Xin Liu, Huiji Gao, Liwei He, Stephanie Moyerman, Sanjeev Katariya |
| 2025 | Let Topology Speak: Graph Neural Network with Topology-Aware Augmentation. Kangzhuo Chen, Xiaoqian Sun, Huawei Shen, Xueqi Cheng |
| 2025 | Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin |
| 2025 | Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi |
| 2025 | Leveraging Large Language Models for Complementary Product Ads Recommendation. Byung Eun Jeon, Ryan Bae, Xiao Bai |
| 2025 | Leveraging Multi-facet Paths for Heterogeneous Graph Representation Learning. Jongwoo Kim, SeongYeub Chu, Hyeongmin Park, Bryan Wong, Keejun Han, Mun Yong Yi |
| 2025 | Leveraging Vulnerabilities in Temporal Graph Neural Networks via Strategic High-Impact Assaults. Donghyun Jeon, Lijing Zhu, Haifang Li, Pengze Li, Jingna Feng, Tiehang Duan, Houbing Herbert Song, Cui Tao, Shuteng Niu |
| 2025 | LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs. Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra |
| 2025 | LinkML for Collaborative Petrochemical Knowledge Graph Development. Annie Shoup, Adam Russell, Gavin Nicol |
| 2025 | LinkedIn Post Embeddings: Industrial Scale Embedding Generation and Usage across LinkedIn. Sudarshan Srinivasa Ramanujam, Akanksha Bindal, Yu Jiang, Timothy J. Hazen, David Golland, Fengyu Zhang, Daqi Sun, Wanning Li, Birjodh Singh Tiwana, Siddharth Dangi, Peng Yan |
| 2025 | Linking Ordered and Orderless Modeling for Sequential Recommendation. Sijia Li, Min Gao, Zongwei Wang, Yibing Bai, Wuhan Chen |
| 2025 | LiveVal: Real-time and Trajectory-based Data Valuation via Adaptive Reference Points. Jie Xu, Zihan Wu, Cong Wang, Xiaohua Jia |
| 2025 | Local Large Language Models for Recommendation. Yujin Jeon, Jooyoung Kim, Joonseok Lee |
| 2025 | Local Structure-Adaptive Graph Filtering for Collaborative Filtering. Yijun Sheng, Ximing Chen, Yanyan Liu, Pui Ieng Lei, Zhiguo Gong |
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| 2025 | Maneno Yetu: Dynamic Corpus Construction and Pretraining for Swahili NLP. Chaddy Anthony Zawuya, Alfred Malengo Kondoro, Diana Rwegasira, Juma H. Lungo |
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| 2025 | Uncertain Boundaries: A Tutorial on Copyright Challenges and Cross-Disciplinary Solutions for Generative AI. Zhipeng Yin, Zichong Wang, Avash Palikhe, Wenbin Zhang |
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| 2025 | Unified Molecule Pre-training with Flexible 2D and 3D Modalities: Single and Paired Modality Integration. Tengwei Song, Min Wu, Yuan Fang |
| 2025 | Unified Robustness via Spurious-Invariant Features and On-Manifold Adversaries. Xu Wang, Rajgopal Kannan, Viktor K. Prasanna |
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