💬 About Me

• I am a researcher at StepFun, working on post-training and long-horizon tasks.
• My research interests include reinforcement learning, post-training, and optimization.

📖 Educations

• 2022.09 - 2026.06: B.Eng, Computer Science (Turing Honors Class), Renmin University of China, advisor Mingyang Yi.

💻 Experiences

• 2026.06 - now: Researcher, LLM Post-training Team, StepFun, Beijing.
• 2026.01 - 2026.06: Research Intern, AI Infra and Data Team, JD.com, Beijing.
• 2025.03 - 2025.09: Research Intern, Reinforcement Learning Team, Zhongguancun Academy, Beijing.
• 2024.09 - 2025.03: Development Intern, LLM Pre-training Team, PixVerse, Beijing.

📝 Publications

• Reasoning and Tool-use Compete in Agentic RL: From Quantifying Interference to Disentangled Tuning
  Yu Li, Mingyang Yi, Xiuyu Li, Ju Fan, Fuxin Jiang, Binbin Chen, Peng Li, Jie Song, Tieying Zhang
  EMNLP 2026 Oral
• ETS: Energy-Guided Test-Time Scaling for Training-Free RL Alignment
  Xiuyu Li*, Jinkai Zhang*, Mingyang Yi, Yu Li, Longqiang Wang, Yue Wang, Ju Fan
  ICML 2026

PrePrints

• Turning Off-Policy Tokens On-Policy: A Plug-in Approach for Improving LLM Alignment
  Yu Li*, Xiuyu Li*, Mingyang Yi, Jiaxing Wang, Liangxu Zhang, Zhaolong Xing, Zhen Chen
  Preprint

🎖 Honors and Awards

• 2026.06: Special Award, Sa Shixuan Elite Fund, Renmin University of China (30,000 CNY)
• 2022.11: Gold Medal, The 2022 ICPC Asia Shenyang Regional Contest