Minghua Zhang
- DeepSeek-R1 incentivizes reasoning in LLMs through reinforcement learning
DeepSeek-R1 shows an LLM can learn strong step-by-step reasoning from pure reinforcement learning, with no human-labeled reasoning examples.
2025/01/22 by DeepSeek-AI, Daya Guo, Dejian Yang +404 · 93 voices · 2443 citations
Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI)
- DeepSeek-V3 Technical Report
2024/12/27 by DeepSeek-AI, Aixin Liu, Bei Feng +404 · 39 voices · 7 citations
Computer Science · Engineering · #Distributed and Parallel Computing Systems #Robotics and Automated Systems #cs.AI #cs.CL
- DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
2024/05/07 by Aixin Liu, DeepSeek-AI, Bei Feng +310 · 5 voices · 343 citations
Computer Science · #Expert finding and Q&A systems #Topic Modeling #Speech and dialogue systems
- DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
2024/01/05 by DeepSeek-AI, Xiao Guo Bi, Xiao Bi +178 · 2 voices · 174 citations
Computer Science · #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling #cs.AI #cs.CL #cs.LG
- DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
2025/12/02 by Aixin Liu, DeepSeek-AI, Aoxue Mei +352 · 46 citations
Computer Science · Materials Science · Medicine · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning in Materials Science #Topic Modeling