Xin Li

I am a Ph.D. student at Nanyang Technological University (NTU), advised by Prof. Chau Yuen. My research develops benchmarks, post-training methods, and multi-agent systems that help Large Language Models (LLMs) reason reliably—verifiably and in specialized domains.

• LLM Evaluation Trustworthy benchmarks for reasoning and generalization, including DafnyComp, WirelessMathBench, WritingPreferenceBench, and RobustMAD.
• Post-training Training methods, especially reinforcement learning, that teach LLMs to reason in specialized domains such as wireless communications and formal verification, including WirelessMathLM and Re:Form, with ongoing work on agentic RL and on-policy distillation (OPD).
• Multi-Agent Systems Agent communication protocols and memory mechanisms, including LACP and ongoing work on shared-memory structures for autonomous agents.

Previously at MSRA, MEGVII, and Gausium Robotics, I led perception projects from prototype to deployment across SLAM, VIO, and radio/vision stacks.

I received my M.E. from Peking University and my B.E. from Northeastern University, China.