Zhenwen Liang

66 papers A* 12A 3B 1Journal 41Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Capability-Oriented Training Induced Alignment Risk.
CoRR
Yujun Zhou, Yue Huang, Han Bao, Kehan Guo, Zhenwen Liang, Pin-Yu Chen, Tian Gao, Werner Geyer, Nuno Moniz, Nitesh V. Chawla, Xiangliang Zhang
2026 J jnl
Deconstructing Multimodal Mathematical Reasoning: Towards a Unified Perception-Alignment-Reasoning Paradigm.
CoRR
Tianyu Yang, Sihong Wu, Yilun Zhao, Zhenwen Liang, Lisen Dai, Chen Zhao, Minhao Cheng, Arman Cohan, Xiangliang Zhang
2026 J jnl
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning.
CoRR
Kishan Panaganti, Zhenwen Liang, Wenhao Yu, Haitao Mi, Dong Yu
2026 J jnl
Locas: Your Models are Principled Initializers of Locally-Supported Parametric Memories.
CoRR
Sidi Lu, Zhenwen Liang, Dongyang Ma, Yan Wang, Haitao Mi, Dong Yu
2026 J jnl
Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning.
CoRR
Haolin Liu, Dian Yu, Sidi Lu, Yujun Zhou, Rui Liu, Zhenwen Liang, Haitao Mi, Chen-Yu Wei, Dong Yu
2026 J jnl
Verified Critical Step Optimization for LLM Agents.
CoRR
Mukai Li, Qingcheng Zeng, Tianqing Fang, Zhenwen Liang, Linfeng Song, Qi Liu, Haitao Mi, Dong Yu
2025 J jnl
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models.
CoRR
Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu
2025 J jnl
CLUE: Non-parametric Verification from Experience via Hidden-State Clustering.
CoRR
Zhenwen Liang, Ruosen Li, Yujun Zhou, Linfeng Song, Dian Yu, Xinya Du, Haitao Mi, Dong Yu
2025 J jnl
Can LLMs Guide Their Own Exploration? Gradient-Guided Reinforcement Learning for LLM Reasoning.
CoRR
Zhenwen Liang, Sidi Lu, Wenhao Yu, Kishan Panaganti, Yujun Zhou, Haitao Mi, Dong Yu
2025 J jnl
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning.
CoRR
Zhiwei He, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xingyu Chen, Yue Wang, Linfeng Song, Dian Yu, Zhenwen Liang, Wenxuan Wang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu
2025 — conf
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study.
EMNLP (Findings)
Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025 J jnl
Dissecting Logical Reasoning in LLMs: A Fine-Grained Evaluation and Supervision Study.
CoRR
Yujun Zhou, Jiayi Ye, Zipeng Ling, Yufei Han, Yue Huang, Haomin Zhuang, Zhenwen Liang, Kehan Guo, Taicheng Guo, Xiangqi Wang, Xiangliang Zhang
2025 J jnl
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving.
CoRR
Mukai Li, Linfeng Song, Zhenwen Liang, Jiahao Xu, Shansan Gong, Qi Liu, Haitao Mi, Dong Yu
2025 J jnl
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation.
CoRR
Yujun Zhou, Zhenwen Liang, Haolin Liu, Wenhao Yu, Kishan Panaganti, Linfeng Song, Dian Yu, Xiangliang Zhang, Haitao Mi, Dong Yu
2025 J jnl
Guided Self-Evolving LLMs with Minimal Human Supervision.
CoRR
Wenhao Yu, Zhenwen Liang, Chengsong Huang, Kishan Panaganti, Tianqing Fang, Haitao Mi, Dong Yu
2025 A* conf
Learning Molecular Representation in a Cell.
ICLR
Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh
2025 A* conf
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.
CVPR
Yilun Zhao, Haowei Zhang, Lujing Xie, Tongyan Hu, Guo Gan, Yitao Long, Zhiyuan Hu, Weiyuan Chen, Chuhan Li, Zhijian Xu, Chengye Wang, Ziyao Shangguan, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan
2025 J jnl
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding.
CoRR
Yilun Zhao, Lujing Xie, Haowei Zhang, Guo Gan, Yitao Long, Zhiyuan Hu, Tongyan Hu, Weiyuan Chen, Chuhan Li, Junyang Song, Zhijian Xu, Chengye Wang, Weifeng Pan, Ziyao Shangguan, Xiangru Tang, Zhenwen Liang, Yixin Liu, Chen Zhao, Arman Cohan
2025 J jnl
MPS-Prover: Advancing Stepwise Theorem Proving by Multi-Perspective Search and Data Curation.
CoRR
Zhenwen Liang, Linfeng Song, Yang Li, Tao Yang, Feng Zhang, Haitao Mi, Dong Yu
2025 A* conf
MedAI-SciTS: Enhancing Interdisciplinary Collaboration between AI Researchers and Medical Experts.
CHI
Chen Cao, Yu Wu, Xiao Zoe Fang, Zhenwen Liang, Lena Mamykina, Laura Sbaffi, Xuhai Xu
2025 J jnl
Self-Rewarding Vision-Language Model via Reasoning Decomposition.
CoRR
Zongxia Li, Wenhao Yu, Chengsong Huang, Rui Liu, Zhenwen Liang, Fuxiao Liu, Jingxi Che, Dian Yu, Jordan L. Boyd-Graber, Haitao Mi, Dong Yu
2025 J jnl
Stable and Efficient Single-Rollout RL for Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Lei Ke, Haolin Liu, Yujun Zhou, Zhenwen Liang, Haitao Mi, Pratap Tokekar, Dong Yu
2025 J jnl
The Role of Computing Resources in Publishing Foundation Model Research.
CoRR
Yuexing Hao, Yue Huang, Haoran Zhang, Chenyang Zhao, Zhenwen Liang, Paul Pu Liang, Yue Zhao, Lichao Sun, Saleh Kalantari, Xiangliang Zhang, Marzyeh Ghassemi
2025 J jnl
Towards Solving More Challenging IMO Problems via Decoupled Reasoning and Proving.
CoRR
Zhenwen Liang, Linfeng Song, Yang Li, Tao Yang, Feng Zhang, Haitao Mi, Dong Yu
2025 J jnl
VOGUE: Guiding Exploration with Visual Uncertainty Improves Multimodal Reasoning.
CoRR
Rui Liu, Dian Yu, Tong Zheng, Runpeng Dai, Zongxia Li, Wenhao Yu, Zhenwen Liang, Linfeng Song, Haitao Mi, Pratap Tokekar, Dong Yu
2024 A* conf
Can LLMs Solve Molecule Puzzles? A Multimodal Benchmark for Molecular Structure Elucidation.
NeurIPS
Kehan Guo, Bozhao Nan, Yujun Zhou, Taicheng Guo, Zhichun Guo, Mihir Surve, Zhenwen Liang, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2024 A conf
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CIKM
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 J jnl
Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples.
CoRR
Qingkai Zeng, Yuyang Bai, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, Zhihan Zhang, Meng Jiang
2024 A* conf
Defending Jailbreak Prompts via In-Context Adversarial Game.
EMNLP
Yujun Zhou, Yufei Han, Haomin Zhuang, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024 J jnl
Defending Jailbreak Prompts via In-Context Adversarial Game.
CoRR
Yujun Zhou, Yufei Han, Haomin Zhuang, Taicheng Guo, Kehan Guo, Zhenwen Liang, Hongyan Bao, Xiangliang Zhang
2024 J jnl
Improving LLM Reasoning through Scaling Inference Computation with Collaborative Verification.
CoRR
Zhenwen Liang, Ye Liu, Tong Niu, Xiangliang Zhang, Yingbo Zhou, Semih Yavuz
2024 A* conf
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
EMNLP
Zhihan Zhang, Tao Ge, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning.
CoRR
Zhihan Zhang, Zhenwen Liang, Wenhao Yu, Dian Yu, Mengzhao Jia, Dong Yu, Meng Jiang
2024 J jnl
Learning Molecular Representation in a Cell.
CoRR
Gang Liu, Srijit Seal, John Arevalo, Zhenwen Liang, Anne E. Carpenter, Meng Jiang, Shantanu Singh
2024 J jnl
Manipulating Predictions over Discrete Inputs in Machine Teaching.
CoRR
Xiaodong Wu, Yufei Han, Hayssam Dahrouj, Jianbing Ni, Zhenwen Liang, Xiangliang Zhang
2024 J jnl
MathChat: Benchmarking Mathematical Reasoning and Instruction Following in Multi-Turn Interactions.
CoRR
Zhenwen Liang, Dian Yu, Wenhao Yu, Wenlin Yao, Zhihan Zhang, Xiangliang Zhang, Dong Yu
2024 — conf
MinT: Boosting Generalization in Mathematical Reasoning via Multi-view Fine-tuning.
LREC/COLING
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2024 — conf
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering.
EMNLP (Findings)
Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
2024 J jnl
SaSR-Net: Source-Aware Semantic Representation Network for Enhancing Audio-Visual Question Answering.
CoRR
Tianyu Yang, Yiyang Nan, Lisen Dai, Zhenwen Liang, Yapeng Tian, Xiangliang Zhang
2024 — conf
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark.
ACL (Short Papers)
Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
2024 J jnl
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark.
CoRR
Zhenwen Liang, Kehan Guo, Gang Liu, Taicheng Guo, Yujun Zhou, Tianyu Yang, Jiajun Jiao, Renjie Pi, Jipeng Zhang, Xiangliang Zhang
2023 — conf
Compositional Mathematical Encoding for Math Word Problems.
ACL (Findings)
Zhenwen Liang, Jipeng Zhang, Kehan Guo, Xiaodong Wu, Jie Shao, Xiangliang Zhang
2023 — conf
Don't be Blind to Questions: Question-Oriented Math Word Problem Solving.
IJCNLP (1)
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2023 A* conf
Generalizing Math Word Problem Solvers via Solution Diversification.
AAAI
Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
2023 J jnl
Improving Language Models via Plug-and-Play Retrieval Feedback.
CoRR
Wenhao Yu, Zhihan Zhang, Zhenwen Liang, Meng Jiang, Ashish Sabharwal
2023 A* conf
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
EMNLP
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 J jnl
Let GPT be a Math Tutor: Teaching Math Word Problem Solvers with Customized Exercise Generation.
CoRR
Zhenwen Liang, Wenhao Yu, Tanmay Rajpurohit, Peter Clark, Xiangliang Zhang, Ashwin Kalyan
2023 J jnl
MinT: Boosting Generalization in Mathematical Reasoning via Multi-View Fine-Tuning.
CoRR
Zhenwen Liang, Dian Yu, Xiaoman Pan, Wenlin Yao, Qingkai Zeng, Xiangliang Zhang, Dong Yu
2023 A* conf
UniMath: A Foundational and Multimodal Mathematical Reasoner.
EMNLP
Zhenwen Liang, Tianyu Yang, Jipeng Zhang, Xiangliang Zhang
2023 A* conf
What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks.
NeurIPS
Taicheng Guo, Kehan Guo, Bozhao Nan, Zhenwen Liang, Zhichun Guo, Nitesh V. Chawla, Olaf Wiest, Xiangliang Zhang
2022 A* conf
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association.
EMNLP
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2022 J jnl
Analogical Math Word Problems Solving with Enhanced Problem-Solution Association.
CoRR
Zhenwen Liang, Jipeng Zhang, Xiangliang Zhang
2022 B conf
ArMATH: a Dataset for Solving Arabic Math Word Problems.
LREC
Reem Alghamdi, Zhenwen Liang, Xiangliang Zhang
2022 J jnl
Generalizing Math Word Problem Solvers via Solution Diversification.
CoRR
Zhenwen Liang, Jipeng Zhang, Lei Wang, Yan Wang, Jie Shao, Xiangliang Zhang
2022 — conf
MWP-BERT: Numeracy-Augmented Pre-training for Math Word Problem Solving.
NAACL-HLT (Findings)
Zhenwen Liang, Jipeng Zhang, Lei Wang, Wei Qin, Yunshi Lan, Jie Shao, Xiangliang Zhang
2021 J jnl
Data-Driven State Estimation for Light-Emitting Diode Underwater Optical Communication.
CoRR
Yingquan Li, Zhenwen Liang, Ibrahima N'Doye, Xiangliang Zhang, Mohamed-Slim Alouini, Taous-Meriem Laleg-Kirati
2021 — conf
Data-Efficient Language Shaped Few-shot Image Classification.
EMNLP (Findings)
Zhenwen Liang, Xiangliang Zhang
2021 J jnl
Large Factor Image Super-Resolution With Cascaded Convolutional Neural Networks.
IEEE Trans. Multim.
Dongyang Zhang, Jie Shao, Zhenwen Liang, Lianli Gao, Heng Tao Shen
2021 J jnl
MWP-BERT: A Strong Baseline for Math Word Problems.
CoRR
Zhenwen Liang, Jipeng Zhang, Jie Shao, Xiangliang Zhang
2021 J jnl
Multi-Branch Networks for Video Super-Resolution With Dynamic Reconstruction Strategy.
IEEE Trans. Circuits Syst. Video Technol.
Dongyang Zhang, Jie Shao, Zhenwen Liang, Xueliang Liu, Heng Tao Shen
2021 A* conf
Solving Math Word Problems with Teacher Supervision.
IJCAI
Zhenwen Liang, Xiangliang Zhang
2020 A conf
Fused Recurrent Network Via Channel Attention For Remote Sensing Satellite Image Super-Resolution.
ICME
Xinyao Li, Dongyang Zhang, Zhenwen Liang, Deqiang Ouyang, Jie Shao
2020 J jnl
Joint image deblurring and super-resolution with attention dual supervised network.
Neurocomputing
Dongyang Zhang, Zhenwen Liang, Jie Shao
2020 J jnl
Traffic sign detection and recognition based on pyramidal convolutional networks.
Neural Comput. Appl.
Zhenwen Liang, Jie Shao, Dongyang Zhang, Lianli Gao
2019 A conf
Jointly Solving Deblurring and Super-Resolution Problems with Dual Supervised Network.
ICME
Zhenwen Liang, Dongyang Zhang, Jie Shao
2018 — conf
Small Object Detection Using Deep Feature Pyramid Networks.
PCM (3)
Zhenwen Liang, Jie Shao, Dongyang Zhang, Lianli Gao