About

I am a thrid-year PhD student in computer science at New York University. I am fortunate to be advised by Prof. Eunsol Choi. I completed my Master’s in Computer Science at UT Austin, and I received B.S. in Electrical Engineering at National Taiwan University.

My research interest broadly lies in natural language processing and machine learning. More specifically, I am interested in building systems that can understand language and respond to human queries accurately.

Recent News

• Jan 2025: Our paper on Open-World Evaluation for Retrieving Diverse Perspectives was accepted to NAACL 2025!

Research Interests

I am interested in finding out what is the most accurate, efficient, and reliable way to gather information and provide answers for user queries.

• Accurate: I am interested in improving the retrieval quality for various downstream tasks, including retrievers as tools for DeepResearch agents. How to accurately synthesize information from multiple knowledge sources is also an important problem.
• Efficient: Current search agents often incur multiple search calls to find information for a single query. It would be nice to reduce the number of calls and maintain similar performance.
• Reliable: Retrieval systems should follow instructions reliably, and should generalize to various domains. RAG systems should be robust to irrelevant information, and how the information is presented.

Service

Reviewer / Program Committee

• ICLR 2026
• ARR (Feb 2024, Aug 2024, Oct 2024, Feb 2025, July 2025)
• EMNLP (2022, 2023)
• ACL 2023
• AKBC 2022
• KnowledgeLM @ ACL2024

Teaching

• Teaching Assistant for Natural Language Processing, Spring 2022 @ UT Austin
• Teaching Assistant for Deep Learning for Human Language Processing, Spring 2020 @ NTU
• Teaching Assistant for Signals and Systems, Spring 2019 @ NTU

You can find my publications on Google Scholar or browse them on this website. I am always happy to discuss research and potential collaborations.