Han Wang

Hi! I am a third-year Ph.D. student at University of North Carolina at Chapel Hill, supervised by Prof. Mohit Bansal. Before that, I got my master’s degree from New York University and bachelor’s degree from Tongji University.

My research interests include improving the robustness, efficiency, and reliability of LLMs/MLLMs, with a focus on reasoning, factual, and agent settings. I am also interested in knowledge-aware LLMs/MLLMs, particularly how models read and use external knowledge under real-world uncertainty. I always favor and pursue the methods that are simple, intuitive, and effective. I am open to collaborations and feel free to drop me an email if you are interested in collaborating with me.

I’ve spent time at AMD GenAI team with Xiaodong Yu and Zicheng Liu, Amazon with Rinat Khaziev, Microsoft Research Asia with Lei Cui, Microsoft Cognitive Services Research Group with Chenguang Zhu and Yang Liu, and Westlake University with Prof. Yue Zhang.

Service
  • PC Member / Reviewer: ACL (2020-2026), EMNLP (2021-2023), NAACL (2024), COLM (2024-2025), ICLR (2024), NeurIPS (2023-2025), AAAI (2023-2024), COLING (2020, 2022, 2024), ACL Rolling Review (2021 - Present)

news

Jul 7, 2025 Our paper Retrieval-Augmented Generation with Conflicting Evidence is accepted to COLM 2025!
Jun 9, 2025 New preprint! CLaMR is a contextualized late-interaction retriever that jointly encodes all modalities and dynamically selects those containing the relevant signals!
May 27, 2025 I have started an internship at AMD GenAI team!
Apr 18, 2025 Check out Retrieval-Augmented Generation with Conflicting Evidence, our new preprint on arxiv!
Jan 22, 2025 Our paper AdaCAD has been accepted to NAACL 2025!