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.
News
- May 2026Joined Tencent Youtu Lab as a research intern, working on LLM CPT / mid-training and agentic RL.
- Apr 2026AgencyBench accepted to the ACL 2026 Main Conference.
- Mar 2026Two papers accepted to ICLR 2026: Aligned Agents, Biased Swarm and InnovatorBench.
- Sep 2025Released LIMI: Less is More for Agency.
- Aug 2025Released DatasetResearch, a benchmark for demand-driven dataset discovery.
Publications Google Scholar →
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AgencyBench: Benchmarking the Frontiers of Autonomous Agents in 1M-Token Real-World Contexts ACL 2026 main
first authorpapercode arXiv:2601.11044
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first authorcode
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first authorpapercode arXiv:2508.06960
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LIMI: Less is More for Agency arXiv 2025
co-first authorpapercode arXiv:2509.17567
Experience
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Tencent Youtu Lab · Research Intern
2026.05 – now
CPT / mid-training data for coding agents, agentic RL and on-policy distillation.
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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.
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Soochow Securities · Fintech · Quant Research Intern
2024.06 – 2024.09
Deep-learning factor mining on Level-2 market data (CNN / RNN / Transformer / KAN).
Education
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Shanghai Jiao Tong University · Ph.D., Computer Science and Technology
2024 – 2029
Joint program with Shanghai Innovation Institute. Advisors: Dequan Wang, Pengfei Liu.
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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.
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