Jiaqi Ni

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, Dejian Yang +404 · 93 voices · 2740 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, Bei Feng +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 Aixin Liu, DeepSeek-AI, Liu, Aixin +310 · 5 voices · 373 citations
   Computer Science · #Expert finding and Q&A systems #Topic Modeling #Speech and dialogue systems
4. Invariant subspaces of weighted Bergman spaces in infinitely many variables
   2021/03/06 by Hui Dan, Kunyu Guo, Dan, Hui +3 · 1 citation
   Mathematics · #Advanced Harmonic Analysis Research #Algebraic and Geometric Analysis #Complex Variables (math.CV) #FOS: Mathematics #Functional Analysis (math.FA) #Holomorphic and Operator Theory