Chuhan Li 黎楚涵

Ph.D. Student @UCSB NLP
Department of Computer Science, UC Santa Barbara

Email: chuhan_li [at] ucsb [dot] edu
Office: 2113 Henley Hall

profile photo profile photo
I am a Ph.D. student in Computer Science at UC Santa Barbara, working with Xin (Eric) Wang. Before that, I earned an M.S. in Computer Science at Yale University. Prior to that, I graduated Summa Cum Laude from Boston University with a B.A. in Computer Science and B.A. in Mathematics, where I worked with Evimaria Terzi.

My research goal is to develop intelligent systems that reason and interact with the physical world. My primary focus lies in machine learning, natural language processing, and computer vision, particularly in spatial intelligence, multimodal reasoning, and neuro-symbolic reasoning. My recent research interests include:
  • Evaluation and Analysis of spatial-temporal capabilities in foundation models
  • Post-Training and Agentic Systems for enhancing spatial understanding and reasoning
  • Robot Learning for human interaction in the real world
In my free time, I am an avid birdwatcher (eBird) and wildlife photographer.


Selected Publications

* denotes equal contribution.

sawbench Learning Situated Awareness in the Real World
Chuhan Li, Ruilin Han , Joy Hsu, Yongyuan Liang, Rajiv Dhawan, Jiajun Wu, Ming-Hsuan Yang, Xin Eric Wang
arXiv, 2026
Project Page | Paper | Dataset | X/Twitter
tomato 🍅 TOMATO: Assessing Visual Temporal Reasoning Capabilities in Multimodal Foundation Models
Ziyao Shangguan* , Chuhan Li*, Yuxuan Ding , Yanan Zheng , Yilun Zhao , Tesca Fitzgerald , Arman Cohan
International Conference on Learning Representations (ICLR), 2025
Paper | Code | Dataset | Poster
M3SciQA 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
Findings of the Association for Computational Linguistics: EMNLP 2024
Paper | Code | Dataset


Professional Services
Workshop Organizer: Conference Reviewer: ICML 2026, ICLR 2025, ACL Rolling Review 2024-26


Teaching
yale_logo Teaching Assistant, Introduction to Machine Learning (CMPSC 165B), Winter 2026
yale_logo Teaching Assistant, Natural Language Processing (CPSC 477/577), Spring 2025

Teaching Assistant, Deep Learning on Graph-Structured Data (CPSC 483/583), Fall 2024

Teaching Assistant, Introduction to Machine Learning (CPSC 381), Spring 2024

Teaching Assistant, Algorithms (CPSC 365), Fall 2023
bu_logo Teaching Assistant, Combinatoric Structures (CS 131), Fall 2021, Spring 2022, Spring 2023

Teaching Assistant, Foundation of Data Science (CS 365), Fall 2022


Website design from Jon Barron, source code here.