Borong Zhang

According to our database, Borong Zhang authored at least 16 papers between 2022 and 2025.

Collaborative distances:

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

2025

Stochastic Multigrid Minimization for Ptychographic Phase Retrieval.

Borong Zhang, Qin Li, Zichao Wendy Di

CoRR, April, 2025

SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Safe Reinforcement Learning.

Borong Zhang, Yuhao Zhang, Jiaming Ji, Yingshan Lei, Josef Dai, Yuanpei Chen, Yaodong Yang

CoRR, March, 2025

PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference.

Jiaming Ji, Donghai Hong, Borong Zhang, Boyuan Chen, Josef Dai, Boren Zheng, Tianyi Alex Qiu, Jiayi Zhou, Kaile Wang, Boxun Li, Sirui Han, Yike Guo, Yaodong Yang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Solving the wide-band inverse scattering problem via equivariant neural networks.

Borong Zhang, Leonardo Zepeda-Núñez, Qin Li

J. Comput. Appl. Math., 2024

Back-Projection Diffusion: Solving the Wideband Inverse Scattering Problem with Diffusion Models.

Borong Zhang, Martin Guerra, Qin Li, Leonardo Zepeda-Núñez

CoRR, 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

Aligner: Achieving Efficient Alignment through Weak-to-Strong Correction.

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Juntao Dai, Yaodong Yang

CoRR, 2024

Aligner: Efficient Alignment by Learning to Correct.

Jiaming Ji, Boyuan Chen, Hantao Lou, Donghai Hong, Borong Zhang, Xuehai Pan, Tianyi Qiu, Juntao Dai, Yaodong Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SafeDreamer: Safe Reinforcement Learning with World Models.

Weidong Huang, Jiaming Ji, Chunhe Xia, Borong Zhang, Yaodong Yang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

AI Alignment: A Comprehensive Survey.

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

CoRR, 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, Juntao Dai, Yaodong Yang

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, 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

CoRR, 2023

Safe DreamerV3: Safe Reinforcement Learning with World Models.

Weidong Huang, Jiaming Ji, Borong Zhang, Chunhe Xia, Yaodong Yang

CoRR, 2023

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research.

Jiaming Ji, Jiayi Zhou, Borong Zhang, Juntao Dai, Xuehai Pan, Ruiyang Sun, Weidong Huang, Yiran Geng, Mickel Liu, Yaodong Yang

CoRR, 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

2022

Solving the Wide-band Inverse Scattering Problem via Equivariant Neural Networks.

Borong Zhang, Leonardo Zepeda-Núñez, Qin Li

CoRR, 2022