Yoonsang Lee

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. I am interested in making language model agents intelligent, reliable, and useful to daily human tasks.

Recently I've been thinking about long-horizon agents, recursive self improvement, and retrieval-augmented LMs. Feel free to reach out for collaboration!

Publications

Agentic Aggregation for Parallel Scaling of Long-Horizon Agentic Tasks

Yoonsang Lee, Howard Yen, Xi Ye, Danqi Chen

COLM 2026 [paper] [code]

Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search

Howard Yen, Yoonsang Lee, Ashwin Paranjape, Mengzhou Xia, Thejas Venkatesh, Jack Hessel, Danqi Chen, Yuhao Zhang

COLM 2026 [paper] [code]

RARe: Retrieval Augmented Retrieval With In-context Examples

Atula Tejaswi, Yoonsang Lee, Sujay Sanghavi*, Eunsol Choi*

COLM 2025 [paper] [code]

Disentangling Questions from Query Generation for Task-Adaptive Retrieval

Yoonsang Lee, Minsoo Kim, Seung-won Hwang

EMNLP 2024 Findings [paper] [code]

AmbigDocs: Reasoning across Documents on Different Entities under the Same Name

Yoonsang Lee, Xi Ye, Eunsol Choi

COLM 2024 [paper] [code] [website]

Crafting In-context Examples according to LMs' Parametric Knowledge

Yoonsang Lee^*, Pranav Atreya^*, Xi Ye, Eunsol Choi

NAACL 2024 Findings [paper] [code]

Teaching

054.003 Understanding Large Language Models Fall 2024

4190.407 Algorithms Spring 2024

4190.308 Computer Architecture Spring 2023

4190.206A Electrical and Electronic Circuits Fall 2020

Service

Conference Reviewer ACL ARR 2024–2026, ICLR 2025, COLM 2026

Workshop Reviewer ACL SRW 2024, ENLSP 2024, KnowledgeNLP 2025

My Conference Journey ✈️

COLM 2026 🇺🇸 ICML 2026 🇰🇷 COLM 2025 🇨🇦 NeurIPS 2024 🇨🇦 COLM 2024 🇺🇸 NAACL 2024 🇲🇽