Long-horizon agents, from pre-training to evaluation.

Keyu Li (李克钰), second-year Ph.D. student at Shanghai Jiao Tong University and Shanghai Innovation Institute, advised by Dequan Wang and Pengfei Liu. Working on LLM continual pre-training & mid-training, agentic RL, multi-agent systems, and frontier AI evaluation.

Now a research intern at Tencent Youtu Lab, building CPT / mid-training data and RL recipes for coding agents. Previously at GAIR Lab, where I led AgencyBench and DatasetResearch. Heavy daily user of Claude Code and Codex.

Resume (PDF) → chlorophyll@sjtu.edu.cn WeChat · 13370856505

News

Publications Google Scholar →

Experience

  • Tencent Youtu Lab · Research Intern 2026.05 – now

    CPT / mid-training data for coding agents, agentic RL and on-policy distillation.

  • Shanghai Innovation Institute · GAIR Lab · Research Intern 2025.05 – 2026.05

    Post-training and evaluation of LLM agents with Prof. Pengfei Liu: AgencyBench, DatasetResearch, LIMI.

  • Soochow Securities · Fintech · Quant Research Intern 2024.06 – 2024.09

    Deep-learning factor mining on Level-2 market data (CNN / RNN / Transformer / KAN).

Education

  • Shanghai Jiao Tong University · Ph.D., Computer Science and Technology 2024 – 2029

    Joint program with Shanghai Innovation Institute. Advisors: Dequan Wang, Pengfei Liu.

  • Shanghai Jiao Tong University · B.S., Mathematics and Applied Mathematics 2020 – 2024

    GPA 4.03 / 4.3, rank 4 / 45. Shanghai Outstanding Graduate, Guo Chenchen Scholarship. Thesis: Towards Visualizing and Understanding Bayesian Flow Networks.

Visitors details →

Thanks for stopping by. Readers so far, by country:

Visitors by country