Zhuofeng Li

Applied Scientist Intern @ Amazon

About

Hi there 👋. I am Zhuofeng Li. (https://zhuofeng-li.github.io/)🔭 I’m a CS Ph.D. student at Texas A&M University and a visiting student at Stanford University.🌱 My current research interests lie in Agents, Reasoning LLMs and RL.🚀 During my research journey, I lead / co-lead AgentFlow (1.8K+⭐ / ICLR 2026 oral), OpenResearcher (700+⭐), and VerlTool (900+⭐) to push the boundaries of agentic reasoning📫 I’m happy to connect! Please reach me at zhuofengli12345@gmail.com

Country

City

United States

Industry

Computer Software

Skill

LLM , Agents, Multi-agent Systems, Deep Reinforcement Learning, research, machine learning, Large Language Models (LLM), 机器学习算法, deep learning, 学术研究

Experience

Applied Scientist Intern

Amazon

2026-5 - Present · 5 mos

Palo Alto, CA

Amazon Rufus Team

Research Internship

Stanford University

2025-6 - Present · 1 yr 4 mos

美国

Agentic Scientific LLMs

Research Internship

University of Waterloo

2025-2 - 2025-5 · 4 mos

Agentic Tool-Use LLMs through RL (Advised by Prof. Wenhu Chen) • Propose a novel agentic async tool-use RL training framework. • Achieve strong performance across diverse benchmarks, including math and search tasks. • Open-source agentic RL framework Verl-Tool (900+ GitHub stars) and recipient of the ICLR 2026 SPOT Best Paper Award.

Machine Learning Researcher

Kuaishou Technology

2024-10 - 2025-2 · 5 mos

Generative Recommendation • Develop an end-to-end generative training framework for re-ranking recommendations powered by LLM, enhancing Recommendation System generalization and personalization. • Deliver significant online gains on Kuaishou (300 M+ DAUs) and recognized as an excellent LR (launch review). • My work is accepted by CIKM 2025.