自动化学报(英文版)2025,Vol.12Issue(5):841-858,18.DOI:10.1109/JAS.2025.125495
DeepSeek:Paradigm Shifts and Technical Evolution in Large AI Models
DeepSeek:Paradigm Shifts and Technical Evolution in Large AI Models
摘要
关键词
DeepSeek/large AI models/reasoning capability/reinforcement learning/test-time scalingKey words
DeepSeek/large AI models/reasoning capability/reinforcement learning/test-time scaling引用本文复制引用
Luolin Xiong,Yang Tang,Haofen Wang,Xi Chen,Lu Sheng,Yun Xiong,Jingping Liu,Yanghua Xiao,Huajun Chen,Qing-Long Han..DeepSeek:Paradigm Shifts and Technical Evolution in Large AI Models[J].自动化学报(英文版),2025,12(5):841-858,18.基金项目
This work was supported by the National Natural Science Foun-dation of China(62233005,62293502,U2441245,62176185,U23B2057,62306112),the STCSM Science and Technology Innovation Action Plan Computational Biology Program(24JS2830400),the State Key Laboratory of Industrial Control Technology,China(ICT2024A22),the Shanghai Sailing Program(23YF1409400),and the National Science and Technology Major Project(2024ZD0532403). (62233005,62293502,U2441245,62176185,U23B2057,62306112)