Josef Dai

According to our database, Josef Dai authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

PKU-SafeRLHF: A Safety Alignment Preference Dataset for Llama Family Models.

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Qiu, Boxun Li, Yaodong Yang

CoRR, 2024

SafeSora: Towards Safety Alignment of Text2Video Generation via a Human Preference Dataset.

Josef Dai, Tianle Chen, Xuyao Wang, Ziran Yang, Taiye Chen, Jiaming Ji, Yaodong Yang

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

CoRR, 2024

Safe RLHF: Safe Reinforcement Learning from Human Feedback.

Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark.

Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset.

Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023