MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control. - Xuehai Pan; Mickel Liu; Fangwei Zhong; Yaodong Yang 001; Song-Chun Zhu; Yizhou Wang 001 (NeurIPS, 2022)

Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. - Hai Ci; Mickel Liu; Xuehai Pan; Fangwei Zhong; Yizhou Wang 001 (ICLR, 2023)

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. - Jiaming Ji; Mickel Liu; Josef Dai; Xuehai Pan; Chi Zhang 017; Ce Bian; Boyuan Chen 008; Ruiyang Sun; Yizhou Wang 001; Yaodong Yang 001 (NeurIPS, 2023)

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark. - Jiaming Ji; Borong Zhang; Jiayi Zhou; Xuehai Pan; Weidong Huang 008; Ruiyang Sun; Yiran Geng; Yifan Zhong; Josef Dai; Yaodong Yang 001 (NeurIPS, 2023)

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research. - Jiaming Ji; Jiayi Zhou; Borong Zhang; Juntao Dai; Xuehai Pan; Ruiyang Sun; Weidong Huang 008; Yiran Geng; Mickel Liu; Yaodong Yang 001 (CoRR, 2023)

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset. - Jiaming Ji; Mickel Liu; Juntao Dai; Xuehai Pan; Chi Zhang 017; Ce Bian; Boyuan Zhang; Ruiyang Sun; Yizhou Wang 001; Yaodong Yang 001 (CoRR, 2023)

Baichuan 2: Open Large-scale Language Models. - Aiyuan Yang; Bin Xiao; Bingning Wang; Borong Zhang; Ce Bian; Chao Yin; Chenxu Lv; Da Pan 003; Dian Wang; Dong Yan; Fan Yang 087; Fei Deng; et al. (CoRR, 2023)

Red Teaming Game: A Game-Theoretic Framework for Red Teaming Language Models. - Chengdong Ma; Ziran Yang; Minquan Gao; Hai Ci; Jun Gao; Xuehai Pan; Yaodong Yang 001 (CoRR, 2023)

Safety-Gymnasium: A Unified Safe Reinforcement Learning Benchmark. - Jiaming Ji; Borong Zhang; Jiayi Zhou; Xuehai Pan; Weidong Huang 008; Ruiyang Sun; Yiran Geng; Yifan Zhong; Juntao Dai; Yaodong Yang 001 (CoRR, 2023)

AI Alignment: A Comprehensive Survey. - Jiaming Ji; Tianyi Qiu; Boyuan Chen 008; Borong Zhang; Hantao Lou; Kaile Wang; Yawen Duan; Zhonghao He; Jiayi Zhou; Zhaowei Zhang; Fanzhi Zeng; Kwan Yee Ng; et al. (CoRR, 2023)

TorchOpt: An Efficient Library for Differentiable Optimization. - Jie Ren; Xidong Feng; Bo Liu 039; Xuehai Pan; Yao Fu; Luo Mai; Yaodong Yang 001 (J. Mach. Learn. Res., 2023)

Safe RLHF: Safe Reinforcement Learning from Human Feedback. - Josef Dai; Xuehai Pan; Ruiyang Sun; Jiaming Ji; Xinbo Xu; Mickel Liu; Yizhou Wang 001; Yaodong Yang 001 (ICLR, 2024)

Aligner: Efficient Alignment by Learning to Correct. - Jiaming Ji; Boyuan Chen 008; Hantao Lou; Donghai Hong; Borong Zhang; Xuehai Pan; Tianyi Qiu; Juntao Dai; Yaodong Yang 001 (NeurIPS, 2024)

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction. - Jiaming Ji; Boyuan Chen 008; Hantao Lou; Donghai Hong; Borong Zhang; Xuehai Pan; Juntao Dai; Yaodong Yang 001 (CoRR, 2024)

Rethinking Information Structures in RLHF: Reward Generalization from a Graph Theory Perspective. - Tianyi Qiu; Fanzhi Zeng; Jiaming Ji; Dong Yan; Kaile Wang; Jiayi Zhou; Han Yang; Josef Dai; Xuehai Pan; Yaodong Yang 001 (CoRR, 2024)

Reward Generalization in RLHF: A Topological Perspective. - Tianyi Alex Qiu; Fanzhi Zeng; Jiaming Ji; Dong Yan; Kaile Wang; Jiayi Zhou; Yang Han; Josef Dai; Xuehai Pan; Yaodong Yang 001 (ACL (Findings), 2025)

Kimi k1.5: Scaling Reinforcement Learning with LLMs. - Kimi Team; Angang Du; Bofei Gao; Bowei Xing; Changjiu Jiang; Cheng Chen; Cheng Li; Chenjun Xiao; Chenzhuang Du; Chonghua Liao; Chuning Tang; Congcong Wang; et al. (CoRR, 2025)