Can Lv (吕灿 in Chinese) is currently a first-year M.S. student at the School of Artificial Intelligence, Beihang University (BUAA), supervised by Prof. Shiji Zhou. He received his bachelor’s degree from the School of Computer Science, Beijing University of Posts and Telecommunications (BUPT). He is currently an AI intern at Unity and was previously an AI intern at Huawei.

His research focuses on

  • Agentic Reinforcement Learning (AgenticRL)
  • Agent Harness
  • Recursive Self-Improvement (RSI)

🔥 News

  • 2026.09:   GEAR and HarnessForge are selected as Oral papers at EMNLP 2026.
  • 2026.08:   GEAR and HarnessForge are accepted by EMNLP 2026.
  • 2026.08:   TRCA is released on arXiv.
  • 2026.06:   GEAR and HarnessForge are released on arXiv.
  • 2026.03:   All-Mem is released on arXiv.

📝 Publications

* Equal contribution.

🎖 Honors and Awards

  • 2024.12, National Scholarship.
  • 2023.12, National Scholarship.

📖 Educations

  • M.S. student in the School of Artificial Intelligence, Beihang University. Advisor: Prof. Shiji Zhou.
  • Bachelor’s degree from the School of Computer Science, Beijing University of Posts and Telecommunications.

💻 Internships

  • 2026.08 - Present, AI Intern, Unity.
  • 2025.12 - 2026.08, AI Intern, Huawei.