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Yifan Zhang - AI Research
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Princeton University · AI Research

Yifan Zhang

PhD candidate at Princeton University and Princeton AI Lab Fellow, focusing on Large Language Models and Multimodal Foundation Models — especially Reinforcement Learning and LLM Reasoning, Pretraining and Language Modeling, as well as Agentic AI and Agentic RL.

About

About Me

I am a PhD candidate at Princeton University and a Princeton AI Lab Fellow, working with Prof. Mengdi Wang, Prof. Andrew Yao, and Prof. Quanquan Gu, where my research focuses on building scalable and capable large language models (LLMs) and multimodal foundation models. My work explores methods to improve LLM reasoning and agentic AI via reinforcement learning, advance data curation and algorithms for foundation models, and develop new attention mechanisms, positional encodings, and model architectures.

Previously, I was a visiting PhD student at the UCLA AGI Lab, and a Top Seed researcher with the Seed Foundation Model Team, working on LLM and MLLM pretraining and scaling.

If you are interested in my research or projects, I would be happy to discuss potential collaborations via email.

Yifan Zhang
Focus

Research Interests

01 Reinforcement Learning and LLM Reasoning
02 Pretraining and Language Modeling
03 Agentic AI and Agentic RL

You can find my publications on Google Scholar, and my writing at Yifan's Blog.

Research

Selected Works

(* denotes equal contribution, † denotes corresponding authors)

Papers

Recent Publications

(* denotes equal contribution)

Writing

Blog Highlights

Service

Professional Activities

Teaching
  • Teaching Assistant, Machine Learning for Yao class, IIIS, Tsinghua University
Academic Services
  • Conference Reviewer: NeurIPS, ICLR, ICML, COLM, AAAI, AISTATS
  • Journal Reviewer: TMLR, IEEE TDSC, ACM TKDD, ACM TIST, Neuralcomputing, Neural Networks
Awards
  • William G. Bowen Merit Fellowship at Princeton University (only one in each academic division)
  • 2025 Stanford University-Elsevier World's Top 2% Scientist