DeepSeek-R1:通过强化学习激励LLM的推理能力

01月22日发表
04月12日由 AKAK 提交
作者: DeepSeek-AI, Daya GuoDaya Guo, DejianYangDejian Yang, Haowei Zhang, Junxiao SongJunxiao Song, Ruoyu Zhang, XuRunXinRunxin Xu, zhuqihaoQihao Zhu, Shirong MaShirong Ma, PEIYI, WANGPeiyi Wang, Xiao Bi, Xiaokang Zhang, Xingkai YuXingkai Yu, Yu Wu, Z. F. Wu, Zhibin GouZhibin Gou, Zhihong ShaoZhihong Shao, Zhuoshu Li, Ziyi Gao, Aixin Liu, Bing Xue, Bingxuan WangBingxuan Wang, Bochao Wu, Bei Feng, Chengda Lu, Chenggang ZhaoChenggang Zhao, Chengqi Deng, Chenyu Zhang, Chong RuanChong Ruan, Damai DaiDamai Dai, Deli Chen, Dong JiejieDongjie Ji, Erhang Li, Fangyun Lin, Fucong Dai, Fuli LuoFuli Luo, Guangbo Hao, Guanting Chen, Guowei Li, H. Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Honghui DingHonghui Ding, HuajianXinHuajian Xin, Huazuo GaoHuazuo Gao, Hui Qu, Hui Li, Jianzhong Guo, Jiashi LiJiashi Li, Jiawei WangJiawei Wang, Jingchang Chen, Jingyang Yuan, Junjie Qiu, Junlong LiJunlong Li, J. L. Cai, Jiaqi Ni, Jian Liang, Jin Chen, Kai Dong, Kai Hu, Kaige Gao, Kang Guan, Kexin Huang, Kuai Yu, Lean Wang, Lecong Zhang, Liang Zhao, Litong Wang, Liyue ZhangLiyue Zhang, Lei Xu, Leyi Xia, Mingchuan Zhang, Minghua Zhang, Minghui TangMinghui Tang, Meng Li, Miaojun Wang, Mingming Li, Ning Tian, Panpan Huang, Peng Zhang, Qiancheng Wang, Qinyu Chen, Qiushi Du, Ruiqi Ge, Ruisong Zhang, Ruizhe Pan, Runji Wang, R. J. Chen, R. L. Jin, Ruyi Chen, Shanghao Lu, Shangyan Zhou, Shanhuang Chen, Shengfeng Ye, Shiyu Wang, Shuiping Yu, Shunfeng Zhou, Shuting Pan, S. S. Li, Shuang Zhou, Shaoqing Wu, Shengfeng Ye, Tao Yun, Tian Pei, Tianyu Sun, T. Wang, Wangding Zeng, Wanjia Zhao, Wen LiuWen Liu, Wenfeng Liang, Wenjun Gao, Wenqin Yu, Wentao Zhang, W. L. Xiao, Wei An, Xiaodong Liu, Xiaohan Wang, Xiaokang ChenXiaokang Chen, Xiaotao Nie, Xin Cheng, Xin Liu, Xin Xie, Xingchao Liu, Xinyu Yang, Xinyuan Li, Xuecheng Su, Xuheng Lin, X. Q. Li, Xiangyue Jin, Xiaojin Shen, Xiaosha Chen, Xiaowen Sun, Xiaoxiang Wang, Xinnan Song, Xinyi Zhou, Xianzu Wang, Xinxia Shan, Y. K. Li, Y. Q. Wang, Y. X. Wei, Yang Zhang, Yanhong Xu, Yao Li, Yao Zhao, Yaofeng Sun, Yaohui Wang, Yi Yu, Yichao Zhang, Yifan Shi, Yiliang Xiong, Ying He, Yishi Piao, Yisong Wang, Yixuan Tan, Yiyang Ma, Yiyuan Liu, Yongqiang Guo, Yuan Ou, Yuduan Wang, Yue Gong, Yuheng Zou, Yujia He, Yunfan Xiong, Yuxiang Luo, Yuxiang You, Yuxuan Liu, Yuyang Zhou, Y. X. Zhu, Yanhong Xu, Yanping Huang, Yaohui Li, Yi Zheng, Yuchen Zhu, Yunxian Ma, Ying Tang, Yukun Zha, Yuting Yan, Z. Z. Ren, Zehui Ren, Zhangli Sha, Zhe Fu, Zhean Xu, Zhenda Xie, Zhengyan Zhang, Zhewen Hao, Zhicheng Ma, Zhigang Yan, Zhiyu Wu, Zihui Gu, Zijia Zhu, Zijun LiuZijun Liu, Zilin Li, Ziwei Xie, Ziyang Song, Zizheng Pan, Zhen Huang, Zhipeng Xu, Zhongyu Zhang, Zhen Zhang

摘要

我们介绍了我们的第一代推理模型 DeepSeek-R1-Zero 和 DeepSeek-R1。DeepSeek-R1-Zero 是一种通过大规模强化学习 (RL) 训练的模型,没有监督微调 (SFT) 作为初步步骤,它展示了卓越的推理能力。通过强化学习,DeepSeek-R1-Zero 自然而然地涌现出许多强大而有趣的推理行为。然而,它遇到了可读性差和语言混合等挑战。为了解决这些问题并进一步提高推理性能,我们推出了 DeepSeek-R1,它在强化学习之前结合了多阶段训练和冷启动数据。DeepSeek-R1 在推理任务上取得了与 OpenAI-o1-1217 相媲美的性能。为了支持研究界,我们开源了 DeepSeek-R1-Zero、DeepSeek-R1 以及六个从 DeepSeek-R1 中提取的基于 Qwen 和 Llama 的密集模型(1.5B、7B、8B、14B、32B、70B)。

评论

AI Papers AcademyAI Papers Academy

书面和视频评论 - https://aipapersacademy.com/deepseek-r1/

Ajith V PrabhakarAjith V Prabhakar

这是 Ajith 的 AI Pulse 关于这篇论文的文章:https://ajithp.com/2025/01/26/deepseek-r1-ai-reasoning/

DeepNLPDeepNLP

GRPO 方程 Latex 代码和术语解释的书签

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方程:http://www.deepnlp.org/equation/group-relative-policy-optimization-grpo

方程搜索引擎 (http://www.deepnlp.org/search/equation) 和论文相关的 AI 代理列表 (http://www.deepnlp.org/store/ai-agent)