Yu, Kuai

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 · 1702 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-V3.2: Pushing the Frontier of Open Large Language Models
   2025/12/02 by DeepSeek-AI, Liu, Aixin, Mei, Aoxue +260 · 44 citations
   #Computation and Language (cs.CL) #FOS: Computer and information sciences
4. Insights into LLM Long-Context Failures: When Transformers Know but Don't Tell
   2024/06/20 by Taiming Lu, Muhan Gao, Lu, Taiming +7 · 7 citations
   Engineering · #Advancements in Photolithography Techniques #Electricity Theft Detection Techniques
5. Large Processor Chip Model
   2025/06/03 by Chang, Kaiyan, Chen, Mingzhi, Chen, Yunji +40 · 2 citations
   #FOS: Computer and information sciences #Hardware Architecture (cs.AR)