DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
Abstract
Abstract General reasoning represents a long-standing and formidable challenge in artificial intelligence (AI). Recent breakthroughs, exemplified by large language models (LLMs)1,2 and chain-of-thought (CoT) prompting3, have achieved considerable success on foundational reasoning tasks. However, this success is heavily contingent on extensive human-annotated demonstrations and the capabilities of models are still insufficient for more complex problems. Here we show that the reasoning abilities of LLMs can be incentivized through pure reinforcement learning (RL), obviating the need for human-labelled reasoning trajectories. The proposed RL framework facilitates the emergent development of advanced reasoning patterns, such as self-reflection, verification and dynamic strategy adaptation. Consequently, the trained model achieves superior performance on verifiable tasks such as mathematics, coding competitions and STEM fields, surpassing its counterparts trained through conventional supervised learning on human demonstrations. Moreover, the emergent reasoning patterns exhibited by these large-scale models can be systematically used to guide and enhance the reasoning capabilities of smaller models.
Article Details
Authors (194)
Daya Guo
Dejian Yang
Haowei Zhang
Junxiao Song
Peiyi Wang
Qihao Zhu
Runxin Xu
Ruoyu Zhang
Shirong Ma
Xiao Bi
Xiaokang Zhang
Xingkai Yu
Yu Wu
Z. F. Wu
Zhibin Gou
Zhihong Shao
Zhuoshu Li
Ziyi Gao
Aixin Liu
Bing Xue
Bingxuan Wang
Bochao Wu
Bei Feng
Chengda Lu
Chenggang Zhao
Chengqi Deng
Chong Ruan
Damai Dai
Deli Chen
Dongjie Ji
Erhang Li
Fangyun Lin
Fucong Dai
Fuli Luo
Guangbo Hao
Guanting Chen
Guowei Li
H. Zhang
Hanwei Xu
Honghui Ding
Huazuo Gao
Hui Qu
Hui Li
Jianzhong Guo
Jiashi Li
Jingchang Chen
Jingyang Yuan
Jinhao Tu
Junjie Qiu
Junlong Li
J. L. Cai
Jiaqi Ni
Jian Liang
Jin Chen
Kai Dong
Kai Hu
Kaichao You
Kaige Gao
Kang Guan
Kexin Huang
Kuai Yu
Lean Wang
Lecong Zhang
Liang Zhao
Litong Wang
Liyue Zhang
Lei Xu
Leyi Xia
Mingchuan Zhang
Minghua Zhang
Minghui Tang
Mingxu Zhou
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
Tao Yun
Tian Pei
Tianyu Sun
T. Wang
Wangding Zeng
Wen Liu
Wenfeng Liang
Wenjun Gao
Wenqin Yu
Wentao Zhang
W. L. Xiao
Wei An
Xiaodong Liu
Xiaohan Wang
Xiaokang 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
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 Liu
Zilin Li
Ziwei Xie
Ziyang Song
Zizheng Pan
Zhen Huang
Zhipeng Xu
Zhongyu Zhang
Zhen Zhang