Wang, Shenzhi

8 publications

NeurIPS 2025 Absolute Zero: Reinforced Self-Play Reasoning with Zero Data Andrew Zhao, Yiran Wu, Yang Yue, Tong Wu, Quentin Xu, Yang Yue, Matthieu Lin, Shenzhi Wang, Qingyun Wu, Zilong Zheng, Gao Huang

NeurIPS 2025 Beyond the 80/20 Rule: High-Entropy Minority Tokens Drive Effective Reinforcement Learning for LLM Reasoning Shenzhi Wang, Le Yu, Chang Gao, Chujie Zheng, Shixuan Liu, Rui Lu, Kai Dang, Xiong-Hui Chen, Jianxin Yang, Zhenru Zhang, Yuqiong Liu, An Yang, Andrew Zhao, Yang Yue, Shiji Song, Bowen Yu, Gao Huang, Junyang Lin

AAAI 2025 DiveR-CT: Diversity-Enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-Jin Liu, Zilong Zheng, Gao Huang

NeurIPS 2024 DeeR-VLA: Dynamic Inference of Multimodal Large Language Models for Efficient Robot Execution Yang Yue, Yulin Wang, Bingyi Kang, Yizeng Han, Shenzhi Wang, Shiji Song, Jiashi Feng, Gao Huang

ICMLW 2024 DiveR-CT: Diversity-Enhanced Red Teaming with Relaxing Constraints Andrew Zhao, Quentin Xu, Matthieu Lin, Shenzhi Wang, Yong-jin Liu, Zilong Zheng, Gao Huang

ICML 2023 Boosting Offline Reinforcement Learning with Action Preference Query Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang

NeurIPS 2023 Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang

CVPR 2021 Glancing at the Patch: Anomaly Localization with Global and Local Feature Comparison Shenzhi Wang, Liwei Wu, Lei Cui, Yujun Shen