Baichuan Alignment Technical Report
Research paper by Mingan Lin and collaborators. Published 2024-10-19. Topics: Prompt Augmentation System, Supervised Fine-Tuning, Preference Alignment, Baichuan-Instruct, Qwen2-Nova-72B.
Resource information
- Authors
- Mingan Lin, Fan Yang, Yanjun Shen, Haoze Sun, Tianpeng Li, Tao Zhang, Chenzheng Zhu, Tao Zhang, Miao Zheng, Xu Li, Yijie Zhou, Mingyang Chen, Yanzhao Qin, Youquan Li, Hao Liang, Fei Li, Yadong Li, Mang Wang, Guosheng Dong, Kun Fang, Jianhua Xu, Bin Cui, Wentao Zhang, Zenan Zhou, Weipeng Chen
- Research topics
- Prompt Augmentation System, Supervised Fine-Tuning, Preference Alignment, Baichuan-Instruct, Qwen2-Nova-72B, Llama3-PBM-Nova-70B, user experience gains, specialized benchmarks, open-source benchmarks
- Publication date
- 2024-10-19
- Publication
- arXiv
- Last record update
- Nov 3, 2026
