Yoonsang Lee
CS PhD @ Princeton
yoonsang at princeton dot edu
Hello! I am a Ph.D. student in Computer Science at Princeton University, advised by Danqi Chen. Prior to that, I did my undergrad at Seoul National University, fortunate to be working with Eunsol Choi.
My research focuses on Natural Language Processing, where I am interested in making large language models better utilize dynamic information and acquire meaningful knowledge.
Recently, I’ve been thinking about deep research agents, long-context models, and human-AI interaction. Feel free to reach out for collaboration!
Publications
RARe: Retrieval Augmented Retrieval With In-context Examples
Atula Tejaswi, Yoonsang Lee, Sujay Sanghavi*, Eunsol Choi*
In COLM 2025.
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Yoonsang Lee, Minsoo Kim, Seung-won Hwang
In Findings of EMNLP 2024 (short). [poster]
Also presented at ENLSP Workshop @ NeurIPS 2024.
AmbigDocs: Reasoning across Documents on Different Entities under the Same Name
Yoonsang Lee, Xi Ye, Eunsol Choi
In COLM 2024. [website] [poster]
Crafting In-context Examples according to LMs' Parametric Knowledge
Yoonsang Lee*, Pranav Atreya*, Xi Ye, Eunsol Choi
In Findings of NAACL 2024. [poster]
MILAB at PragTag-2023: Enhancing Cross-Domain Generalization through Data Augmentation with Reduced Uncertainty
Yoonsang Lee*, Dongryeol Lee*, Kyomin Jung
In Workshop on Argument Mining @ EMNLP 2023. [poster]
Education
- Ph.D. in Computer Science
- B.S. in Computer Science and Engineering