Yilun Zhao (
)
CS PhD Student
Department of Computer Science, Yale University
yilun [dot] zhao [at] yale [dot] edu
I am a CS PhD student at Yale University, advised by Professor Arman Cohan. I was very fortunate to have the late Professor Dragomir Radev as my advisor during my first two years at Yale. Before coming to Yale, I obtained my B.Eng. from Zhejiang University with a dual B.S. from UIUC.
My research interests have evolved with the rapid advancement of AI. Currently, I focus on (1) building foundation models that deliver expert-level reasoning, multimodal understanding, and knowledge-intensive capabilities for high-stakes domains such as science, (2) developing scalable, expert- and community-driven evaluation and alignment methods that make expert-domain model behavior measurable, comparable, and improvable, and (3) quantifying and mitigating societal and user-facing risks in real workflows, and designing human-AI systems that meet real user needs for responsible deployment.
2026-03 Our ICML 2026 Workshop proposal on AI for Physics (AI4Physics) has been accepted! Stay tuned for the call for papers!
2026-03 Our CVPR 2026 Workshop on Knowledge-Intensive Multimodal Reasoning is accepting submissions. Welcome to submit!
Recent Activities
Selected Publications
citations: -- | h-index: --
Research Topics:
AI4Scientist / AI + X / World Model / Reasoning / Information Retrieval / LLM Agents
Professional Services
Workshop & Tutorial Organization
- CVPR 2026, ICCV 2025 Workshop on Knowledge-Intensive Multimodal Reasoning
- AAAI 2026 Workshop on New Frontiers in Information Retrieval
- AAAI 2026 Workshop on AI for Scientific Research
- NeurIPS 2025 Workshop on Socially Responsible and Trustworthy Foundation Models (ResponsibleFM)
- CVPR 2025 Tutorial on Multimodal Mathematical Reasoning
- New England NLP (NENLP) Meeting Series 2025
- ICLR 2025 Workshop on LLM Reasoning and Planning
- Area Chair: NeurIPS 2026, ACL Rolling Review 2026, NeurIPS 2025
- Reviewer: ACL Rolling Review 2021–25 and other ACL events, CVPR, COLM, ICLR, NeurIPS, ICML