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2020 – today
- 2025
[c7]Tianyi Alex Qiu, Fanzhi Zeng, Jiaming Ji, Dong Yan, Kaile Wang, Jiayi Zhou, Yang Han, Josef Dai, Xuehai Pan, Yaodong Yang:
Reward Generalization in RLHF: A Topological Perspective. ACL (Findings) 2025: 15884-15930- [i12]Kimi Team, Angang Du, Bofei Gao, Bowei Xing, Changjiu Jiang, Cheng Chen, Cheng Li, Chenjun Xiao, Chenzhuang Du, Chonghua Liao, Chuning Tang, Congcong Wang, Dehao Zhang, Enming Yuan, Enzhe Lu, Fengxiang Tang, Flood Sung, Guangda Wei, Guokun Lai, Haiqing Guo, Han Zhu, Hao Ding, Hao Hu, Hao Yang, Hao Zhang, Haotian Yao, Haotian Zhao, Haoyu Lu, Haoze Li, Haozhen Yu, Hongcheng Gao, Huabin Zheng, Huan Yuan, Jia Chen, Jianhang Guo, Jianlin Su, Jianzhou Wang, Jie Zhao, Jin Zhang, Jingyuan Liu, Junjie Yan, Junyan Wu, Lidong Shi, Ling Ye, Longhui Yu, Mengnan Dong, Neo Zhang, Ningchen Ma, Qiwei Pan, Qucheng Gong, Shaowei Liu, Shengling Ma, Shupeng Wei, Sihan Cao, Siying Huang, Tao Jiang, Weihao Gao, Weimin Xiong, Weiran He, Weixiao Huang, Wenhao Wu, Wenyang He, Xianghui Wei, Xianqing Jia, Xingzhe Wu, Xinran Xu, Xinxing Zu, Xinyu Zhou, Xuehai Pan, Y. Charles, Yang Li, Yangyang Hu, Yangyang Liu, Yanru Chen, Yejie Wang, Yibo Liu, Yidao Qin, Yifeng Liu, Ying Yang, Yiping Bao, Yulun Du, Yuxin Wu, Yuzhi Wang, Zaida Zhou, Zhaoji Wang, Zhaowei Li, Zhen Zhu, Zheng Zhang, Zhexu Wang, Zhilin Yang, Zhiqi Huang, Zihao Huang, Ziyao Xu, Zonghan Yang:
Kimi k1.5: Scaling Reinforcement Learning with LLMs. CoRR abs/2501.12599 (2025) - 2024
- [c6]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 - [c5]Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Tianyi Qiu, Juntao Dai, Yaodong Yang:
Aligner: Efficient Alignment by Learning to Correct. NeurIPS 2024 - [i11]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 abs/2402.02416 (2024) - [i10]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 abs/2402.10184 (2024) - 2023
- [j1]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang:
TorchOpt: An Efficient Library for Differentiable Optimization. J. Mach. Learn. Res. 24: 367:1-367:14 (2023) - [c4]Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang:
Proactive Multi-Camera Collaboration for 3D Human Pose Estimation. ICLR 2023 - [c3]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 - [c2]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 - [i9]Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang:
Proactive Multi-Camera Collaboration For 3D Human Pose Estimation. CoRR abs/2303.03767 (2023) - [i8]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 abs/2305.09304 (2023) - [i7]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 abs/2307.04657 (2023) - [i6]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 abs/2309.10305 (2023) - [i5]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 abs/2310.00322 (2023) - [i4]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 abs/2310.12567 (2023) - [i3]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 abs/2310.12773 (2023) - [i2]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 abs/2310.19852 (2023) - 2022
- [c1]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 - [i1]Jie Ren, Xidong Feng, Bo Liu, Xuehai Pan, Yao Fu, Luo Mai, Yaodong Yang:
TorchOpt: An Efficient Library for Differentiable Optimization. CoRR abs/2211.06934 (2022)
Coauthor Index
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