Mickel Liu - RankMe

15 papers A* 4Journal 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AllReduce Scheduling with Hierarchical Deep Reinforcement Learning. CoRR Yufan Wei, Mickel Liu, Wenfei Wu
2025	J	`jnl`	Artificial Hivemind: The Open-Ended Homogeneity of Language Models (and Beyond). CoRR Liwei Jiang, Yuanjun Chai, Margaret Li, Mickel Liu, Raymond Fok, Nouha Dziri, Yulia Tsvetkov, Maarten Sap, Alon Albalak, Yejin Choi
2025	J	`jnl`	Chasing Moving Targets with Online Self-Play Reinforcement Learning for Safer Language Models. CoRR Mickel Liu, Liwei Jiang, Yancheng Liang, Simon Shaolei Du, Yejin Choi, Tim Althoff, Natasha Jaques
2025	J	`jnl`	Learning Pluralistic User Preferences through Reinforcement Learning Fine-tuned Summaries. CoRR Hyunji Nam, Yanming Wan, Mickel Liu, Jianxun Lian, Natasha Jaques
2025	J	`jnl`	SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning. CoRR Bo Liu, Leon Guertler, Simon Yu, Zichen Liu, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques
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	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`	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`	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
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