Xuehai Pan

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 16

Top Topics

Reinforcement Learning

Top Venues

Publications

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang
Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. CoRR (2024)
Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang
Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. CoRR (2024)
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Safe RLHF: Safe Reinforcement Learning from Human Feedback. ICLR (2024)
Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang
Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. CoRR (2023)
Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang
Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. NeurIPS (2023)
Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. NeurIPS (2023)
Aiyuan Yang, Bin Xiao, Bingning Wang, Borong Zhang, Ce Bian, Chao Yin, Chenxu Lv, Da Pan, Dian Wang, Dong Yan, Fan Yang, Fei Deng, Feng Wang, Feng Liu, Guangwei Ai, Guosheng Dong, Haizhou Zhao, Hang Xu, Haoze Sun, Hongda Zhang, Hui Liu, Jiaming Ji, Jian Xie, Juntao Dai, Kun Fang, Lei Su, Liang Song, Lifeng Liu, Liyun Ru, Luyao Ma, Mang Wang, Mickel Liu, MingAn Lin, Nuolan Nie, Peidong Guo, Ruiyang Sun, Tao Zhang, Tianpeng Li, Tianyu Li, Wei Cheng, Weipeng Chen, Xiangrong Zeng, Xiaochuan Wang, Xiaoxi Chen, Xin Men, Xin Yu, Xuehai Pan, Yanjun Shen, Yiding Wang, Yiyu Li, Youxin Jiang, Yuchen Gao, Yupeng Zhang, Zenan Zhou, Zhiying Wu
Baichuan 2: Open Large-scale Language Models. CoRR (2023)
Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. ICLR (2023)
Chengdong Ma, Ziran Yang, Minquan Gao, Hai Ci, Jun Gao, Xuehai Pan, Yaodong Yang
Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. CoRR (2023)
Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang
BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. CoRR (2023)
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Safe RLHF: Safe Reinforcement Learning from Human Feedback. CoRR (2023)
Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, Song-Chun Zhu, Yike Guo, Wen Gao
AI Alignment: A Comprehensive Survey. CoRR (2023)
Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. CoRR (2023)
Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation. CoRR (2023)
Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
TorchOpt: An Efficient Library for Differentiable Optimization. CoRR (2022)
Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang
MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. NeurIPS (2022)