Li, Wenzhe

16 publications

ICLRW 2025 MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 MATH-Perturb: Benchmarking LLMs’ Math Reasoning Abilities Against Hard Perturbations Kaixuan Huang, Jiacheng Guo, Zihao Li, Xiang Ji, Jiawei Ge, Wenzhe Li, Yingqing Guo, Tianle Cai, Hui Yuan, Runzhe Wang, Yue Wu, Ming Yin, Shange Tang, Yangsibo Huang, Chi Jin, Xinyun Chen, Chiyuan Zhang, Mengdi Wang

ICML 2025 Securing Equal Share: A Principled Approach for Learning Multiplayer Symmetric Games Jiawei Ge, Yuanhao Wang, Wenzhe Li, Chi Jin

ICML 2024 FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin

ICLRW 2024 FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning Wenzhe Li, Zihan Ding, Seth Karten, Chi Jin

NeurIPSW 2024 Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? Wenzhe Li, Yong Lin, Mengzhou Xia, Chi Jin

TMLR 2023 A Survey on Transformers in Reinforcement Learning Wenzhe Li, Hao Luo, Zichuan Lin, Chongjie Zhang, Zongqing Lu, Deheng Ye

AAAI 2023 Flow to Control: Offline Reinforcement Learning with Lossless Primitive Discovery Yiqin Yang, Hao Hu, Wenzhe Li, Siyuan Li, Jun Yang, Qianchuan Zhao, Chongjie Zhang

NeurIPS 2022 LAPO: Latent-Variable Advantage-Weighted Policy Optimization for Offline Reinforcement Learning Xi Chen, Ali Ghadirzadeh, Tianhe Yu, Jianhao Wang, Alex Yuan Gao, Wenzhe Li, Liang Bin, Chelsea Finn, Chongjie Zhang

ICLR 2022 Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL Rui Yang, Yiming Lu, Wenzhe Li, Hao Sun, Meng Fang, Yali Du, Xiu Li, Lei Han, Chongjie Zhang

NeurIPS 2021 Estimating High Order Gradients of the Data Distribution by Denoising Chenlin Meng, Yang Song, Wenzhe Li, Stefano Ermon

NeurIPS 2021 Offline Reinforcement Learning with Reverse Model-Based Imagination Jianhao Wang, Wenzhe Li, Haozhe Jiang, Guangxiang Zhu, Siyuan Li, Chongjie Zhang

UAI 2021 Tractable Computation of Expected Kernels Wenzhe Li, Zhe Zeng, Antonio Vergari, Guy Broeck

AAAI 2016 Metric Learning for Ordinal Data Yuan Shi, Wenzhe Li, Fei Sha

AISTATS 2016 Scalable MCMC for Mixed Membership Stochastic Blockmodels Wenzhe Li, Sungjin Ahn, Max Welling

AAAI 2011 Recognizing Text Through Sound Alone Wenzhe Li, Tracy Anne Hammond