Yoonah Park

Yoonah Park

Email Google Scholar

About

I am an M.S. student in Data Science at Seoul National University, advised by Prof. Yohan Jo. I received my B.S. in Computer Science and Engineering from SNU.

My research interests lie in natural language processing, particularly: (1) interpretability and model surgery of large language models through representation analysis, and (2) personalized alignment of large language models.

Publications

Conference Papers

A Framework for Personalized Persuasiveness Prediction via Context-Aware User Profiling
Sejun Park, Yoonah Park, Jongwon Lim, Yohan Jo
ACL Findings 2026 To Appear [arxiv]
Improving Dialogue State Tracking through Combinatorial Search for In-Context Examples
Haesung Pyun, Yoonah Park, Yohan Jo
ACL 2025 [arxiv]
Cupid: Evaluating Personalized and Contextualized Alignment of LLMs from Interactions
Tae Soo Kim, Yoonjoo Lee, Yoonah Park, Jiho Kim, Young-Ho Kim, Juho Kim
COLM 2025 [arxiv]

Workshop Papers

VLAAD: Vision and Language Assistant for Autonomous Driving
SungYeon Park, MinJae Lee, JiHyuk Kang, Hahyeon Choi, Yoonah Park, Juhwan Cho, Adam Lee, DongKyu Kim
IEEE/CVF WACV Workshop 2024 [paper]

Preprints

Human Psychometric Questionnaires Mischaracterize LLM Psychology: Evidence from Generation Behavior
Woojung Song, Dongmin Choi, Yoonah Park, Jongwook Han, Yohan Jo
Preprint [arxiv]
Bridging the Knowledge-Prediction Gap in LLMs on Multiple-Choice Questions
Yoonah Park, Haesung Pyun, Yohan Jo
Preprint [arxiv]
Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical Reasoning
Gisang Lee, Sangwoo Park, Junyoung Park, Sieun Park, Yoonah Park, Byungju Kim, Min-gyu Cho
Preprint [arxiv]

Research Experience

HOLI Lab, Graduate School of Data Science, SNU
Undergraduate Research Intern · Sep. 2024 – Aug. 2025 · Advisor: Prof. Yohan Jo
KAIST Interaction Lab, School of Computing, KAIST
Undergraduate Research Intern · Jan. 2024 – Jun. 2024 · Advisor: Prof. Juho Kim

Work Experience

Maum AI
Machine Learning Research Intern · Jul. 2024 – Aug. 2024
Invector
Software Engineer Intern · Aug. 2023 – Dec. 2023