Hi! I am a first-year CS PhD student jointly at NYU Courant and NYU Shanghai, mentored by Professor Chen Zhao. Previously, I received my B.S. degree in Data Science (AI track) from NYU Shanghai, where I was advised by Professor Wilson Tam and Professor Mathieu Lauriere. My primary research interests are in Natural Language Processing and Deep Learning. Here are some topics that I have been thinking about lately:

1. How to best empower reasoning models with the retrieval ability, so that they can reliably solve complex real-world tasks (e.g. Deep Researh-style report generation, context conflict resolution) that involves knowledge-intensive reasoning?
2. Can we automate the error characterization process of LLM’s highly complex reasoning chains, or long-form generation in general? Given a set of predictions, can LLM accurately induce and summarize what the error patterns are?
3. I am always fasinated by novel and smart decoding strategies and embedding learning methods!

If you have any thoughts on these, shoot me an email and I am more than happy to chat with you!

News

• [May 2025] I am joining AWS Bedrock as an Applied Science intern this summer, working on explanability of agents.
• [October 2024] I will be attending COLM at Penn.
• [September 2024] Starting my PhD at NYU Courant and NYU Shanghai!
• [March 2024] I am attending NAACL 2024 to present our work ProPer in collaboration with Xiaocheng Yang and Professor Wilson Tam!