Jiaming Ji

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 27

Top Topics

Reinforcement Learning

Top Venues

Publications

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang
PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models. CoRR (2024)
Jiaming Ji, Kaile Wang, Tianyi Qiu, Boyuan Chen, Jiayi Zhou, Changye Li, Hantao Lou, Yaodong Yang
Language Models Resist Alignment. CoRR (2024)
Tianyi Qiu, Yang Zhang, Xuchuan Huang, Jasmine Xinze Li, Jiaming Ji, Yaodong Yang
ProgressGym: Alignment with a Millennium of Moral Progress. CoRR (2024)
Xiongfei Ren, Xiaoyue Su, Yisong Zhao, Yuanzhi Guo, Changsheng Yang, Jiaming Ji, Xinwei Zhang, Bingli Guo, Xuwei Xue
Multi-task Learning LSTM-based Traffic Prediction in Data Center Networks. ICMLSC (2024)
Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang
SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset. CoRR (2024)
Yuanpei Chen, Yiran Geng, Fangwei Zhong, Jiaming Ji, Jiechuang Jiang, Zongqing Lu, Hao Dong, Yaodong Yang
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang
SafeDreamer: Safe Reinforcement Learning with World Models. ICLR (2024)
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)
Jiayi Guan, Guang Chen, Jiaming Ji, Long Yang, Ao Zhou, Zhijun Li, Changjun Jiang
VOCE: Variational Optimization with Conservative Estimation for Offline Safe Reinforcement Learning. NeurIPS (2023)
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)
Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang
Safe DreamerV3: Safe Reinforcement Learning with World Models. CoRR (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)
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)
Jiajun Wu, Lumei Su, Zhiwei Lin, Yuhan Chen, Jiaming Ji, Tianyou Li
Object Detection of Flexible Objects with Arbitrary Orientation Based on Rotation-Adaptive YOLOv5. Sensors 23 (10) (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)
Yifan Zhong, Jakub Grudzien Kuba, Siyi Hu, Jiaming Ji, Yaodong Yang
Heterogeneous-Agent Reinforcement Learning. 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)
Juntao Dai, Jiaming Ji, Long Yang, Qian Zheng, Gang Pan
Augmented Proximal Policy Optimization for Safe Reinforcement Learning. AAAI (2023)
Long Yang, Jiaming Ji, Juntao Dai, Yu Zhang, Pengfei Li, Gang Pan
CUP: A Conservative Update Policy Algorithm for Safe Reinforcement Learning. CoRR (2022)
Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
Constrained Update Projection Approach to Safe Policy Optimization. NeurIPS (2022)
Long Yang, Jiaming Ji, Juntao Dai, Linrui Zhang, Binbin Zhou, Pengfei Li, Yaodong Yang, Gang Pan
Constrained Update Projection Approach to Safe Policy Optimization. CoRR (2022)
Vittorio Caggiano, Guillaume Durandau, Huwawei Wang, Alberto Chiappa, Alexander Mathis, Pablo Tano, Nisheet Patel, Alexandre Pouget, Pierre Schumacher, Georg Martius, Daniel Haeufle, Yiran Geng, Boshi An, Yifan Zhong, Jiaming Ji, Yuanpei Chen, Hao Dong, Yaodong Yang, Rahul Siripurapu, Luis Eduardo Ferro Diez, Michael Kopp, Vihang Patil, Sepp Hochreiter, Yuval Tassa, Josh Merel, Randy Schultheis, Seungmoon Song, Massimo Sartori, Vikash Kumar
MyoChallenge 2022: Learning contact-rich manipulation using a musculoskeletal hand. NeurIPS (Competition and Demos) (2021)