Shaoqing Wu

1. 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, Guo, Daya +404 · 93 voices · 2622 citations
   Computer Science · #Reinforcement Learning in Robotics #Data Stream Mining Techniques #Explainable Artificial Intelligence (XAI)
2. DeepSeek-V3 Technical Report
   2024/12/27 by DeepSeek-AI, Aixin Liu, Liu, Aixin +404 · 39 voices · 7 citations
   Computer Science · Engineering · #Distributed and Parallel Computing Systems #Robotics and Automated Systems #cs.AI #cs.CL
3. DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
   2024/05/07 by DeepSeek-AI, Aixin Liu, Liu, Aixin +310 · 5 voices · 351 citations
   Computer Science · #Expert finding and Q&A systems #Topic Modeling #Speech and dialogue systems