Xuehai Pan - RankMe

21 papers A* 6Journal 14Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AI Alignment: A Contemporary Survey. ACM Comput. Surv. Jiaming Ji, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Borong Zhang, Donghai Hong, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Lukas Vierling, Zhaowei Zhang, Fanzhi Zeng, Juntao Dai, Xuehai Pan, Hua Xu, Aidan O'Gara, Kwan Ng, Brian Tse, Jie Fu, Stephen McAleer, Yanfeng Wang, Mingchuan Yang, Yunhuai Liu, Yizhou Wang, Song-Chun Zhu, Yike Guo, Yaodong Yang, Wen Gao
2025	—	`conf`	Reward Generalization in RLHF: A Topological Perspective. ACL (Findings) Tianyi Alex Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Yang Han, Josef Dai, Xuehai Pan, Yaodong Yang
2024	J	`jnl`	Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. CoRR Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang
2024	A*	`conf`	Aligner: Efficient Alignment by Learning to Correct. NeurIPS Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Tianyi Qiu, Juntao Dai, Yaodong Yang
2024	J	`jnl`	OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. J. Mach. Learn. Res. Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
2024	J	`jnl`	Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. CoRR Tianyi Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Han Yang, Josef Dai, Xuehai Pan, Yaodong Yang
2024	A*	`conf`	Safe RLHF: Safe Reinforcement Learning from Human Feedback. ICLR Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	AI Alignment: A Comprehensive Survey. CoRR 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
2023	J	`jnl`	Baichuan 2: Open Large-scale Language Models. CoRR 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
2023	A*	`conf`	BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. NeurIPS Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. CoRR Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Zhang, Ruiyang Sun, Yizhou Wang, Yaodong Yang
2023	J	`jnl`	OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. CoRR Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang
2023	J	`jnl`	Proactive Multi-Camera Collaboration For 3D Human Pose Estimation. CoRR Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
2023	A*	`conf`	Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. ICLR Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
2023	J	`jnl`	Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. CoRR Chengdong Ma, Ziran Yang, Minquan Gao, Hai Ci, Jun Gao, Xuehai Pan, Yaodong Yang
2023	J	`jnl`	Safe RLHF: Safe Reinforcement Learning from Human Feedback. CoRR Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
2023	A*	`conf`	Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. NeurIPS Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang
2023	J	`jnl`	Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. CoRR Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Juntao Dai, Yaodong Yang
2023	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang
2022	A*	`conf`	MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. NeurIPS Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang
2022	J	`jnl`	TorchOpt: An Efficient Library for Differentiable Optimization. CoRR Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang