Li, Xinyuan

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 · 2052 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. BiGS: Bidirectional Gaussian Primitives for Relightable 3D Gaussian Splatting
   2024/08/23 by Zhenyuan Liu, Yu Guo, Liu, Zhenyuan +7 · 5 citations
   Computer Science · Engineering · #Computer Graphics and Visualization Techniques #3D Shape Modeling and Analysis #Image Processing and 3D Reconstruction
5. Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends
   2024/01/15 by Yunshi Lan, Xinyuan Li, Lan, Yunshi +11 · 3 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Online Learning and Analytics #Text Readability and Simplification #Topic Modeling
6. Graph Structure Learning for Tumor Microenvironment with Cell Type Annotation from non-spatial scRNA-seq data
   2025/02/04 by Huang, Yu-An, Li, Yue-Chao, You, Hai-Ru +5 · 1 citation
   #Artificial Intelligence (cs.AI) #FOS: Biological sciences #FOS: Computer and information sciences #Genomics (q-bio.GN) #Machine Learning (cs.LG)