Chuhan Li 黎楚涵

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

Email: chuhan_li [at] ucsb [dot] edu
Office: Phelps Hall 3530 & 3534

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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, working with Arman Cohan and Rex Ying. 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 interests include multimodal reasoning and neuro-symbolic reasoning. In the short term, I aim to enhance foundation models' capabilities in spatial intelligence, spatial-temporal reasoning, and domain-specific expertise across multiple modalities (images, videos). In the long term, I want to make AI systems to be able to interact with physical world via multimodal data.


Selected Publications

* denotes equal contribution.

hybridmind HybridMind: Meta Selection of Natural Language and Symbolic Language for Enhanced LLM Reasoning
Simeng Han* , Tianyu Liu* , Chuhan Li*, Xuyuan Xiong, Arman Cohan
COLM 2025 The First Workshop on the Application of LLM Explainability to Reasoning and Planning
Paper
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
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: ICLR 2025, ACL 2025

Workshop Reviewer: ICLR 2025 workshop on LLM Reason and Plan, ICLR 2025 workshop on SCI-FM, NeurIPS 2024 workshop on FM4Science


Teaching
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.