Chuhan Li 黎楚涵

I am a second-year master's student in Computer Science at Yale University, working under the guidance of Prof. Arman Cohan and Prof. Rex Ying. My research is driven by the goal of creating AI systems that can empower human to be better scientists. To achieve this goal, I focus on:

Equipping foundation models with domain-specfic expertise
Enhancing foundation models' (multi-modal) reasoning capabilities

Previously, I graduated Summa Cum Laude from Boston University, where I earned B.A. in Computer Science and B.A. in Mathematics. I was fortunate to be advised by Prof. Evimaria Terzi during my undergraduate years, working with combinatorial optimization, approximation algorithm, and graph mining.

Email / GitHub / Google Scholar / LinkedIn

Jan' 25	TOMATO is accepted to ICLR 2025! See you all in Singapore!
Oct' 24	TOMATO is available on arXiv.
Sep' 24	M3SciQA is accepted to EMNLP 2024.

Publications & Preprints

* denotes equal contributions.

	🍅 TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models Ziyao Shangguan* , Chuhan Li*, Yuxuan Ding , Yanan Zheng , Yilun Zhao , Tesca Fitzgerald , Arman Cohan ICLR 2025 ArXiv / Code / Dataset
	M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models Chuhan Li, Ziyao Shangguan , Yilun Zhao , Deyuan Li , Yixin Liu , Arman Cohan EMNLP 2024 ArXiv / Code / Dataset

Awards & Honors

University Fellowship, Yale University, 2023-2025
Computer Science Department Prize for Academic Excellence, Boston University, 2023

Professional Services

Reviewer: ICLR 2025, NeurIPS 2024 FM4Science Workshop