CS PhD @ Princeton
yoonsang at princeton dot edu
Hello! I am an incoming Ph.D. student in Computer Science at Princeton University, advised by Prof. Danqi Chen. Prior to that, I received B.S. in CSE from Seoul National University, where I was fortunate to be working with Prof. Eunsol Choi.
My research focuses on NLP, where I am interested in making large language models better utilize dynamic information and acquire meaningful knowledge. Current areas of interest include retrieval-augmented generation, multi-turn interactions, and web agents.
RARe: Retrieval Augmented Retrieval With In-context Examples
Atula Tejaswi, Yoonsang Lee, Sujay Sanghavi, Eunsol Choi
arXiv Preprint 2024
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
Yoonsang Lee, Minsoo Kim, Seung-won Hwang
Findings of EMNLP 2024 (short)
ENLSP Workshop @ NeurIPS 2024
[poster]
AmbigDocs: Reasoning across Documents on Different Entities under the Same Name
Yoonsang Lee, Xi Ye, Eunsol Choi
COLM 2024
[Project Website] [poster]
Crafting In-context Examples according to LMs' Parametric Knowledge
Yoonsang Lee*, Pranav Atreya*, Xi Ye, Eunsol Choi
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
ArgMining Workshop @ EMNLP 2023
[poster]