Minseok Choi

Postdoctoral Fellow, KAIST

minseok.choi [AT] kaist.ac.kr

About

Hi! I am a postdoctoral fellow at KAIST AI, supported by the InnoCORE Postdoctoral Fellowship, where I work with Jaegul Choo at the DAVIAN Lab. I am also fulfilling my military service as Technical Research Personnel in the Republic of Korea Army. My research focuses on large language models, particularly their safety and their use as autonomous agents. Previously, I was a research intern at Krafton and Naver Webtoon. I received my Ph.D. from KAIST and my B.S. in Computer Science from the University of Illinois at Urbana-Champaign.

I am always happy to chat about research, agents, or anything in between — feel free to reach out over email or coffee if you are around Seoul.

News

Publications

( * indicates equal contributions.)

ExpGuard: LLM Content Moderation in Specialized Domains

Minseok Choi*, Dongjin Kim*, Seungbin Yang*, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son

ICLR 2026

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning

Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo

Preprint

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo

ACL 2025

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models

Minseok Choi, Kyunghyun Min, Jaegul Choo

EMNLP 2024 Findings

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison

ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo

COLM 2024

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models

Dohyun Lee*, Daniel Rim*, Minseok Choi, Jaegul Choo

ACL 2024 Findings

SimCKP: Simple Contrastive Learning of Keyphrase Representations

Minseok Choi, Chaeheon Gwak, Seho Kim, Si hyeong Kim, Jaegul Choo

EMNLP 2023 Findings

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration

Minseok Choi, Hyesu Lim, Jaegul Choo

IJCNLP-AACL 2023 Findings

HistRED: A Historical Document-Level Relation Extraction Dataset

Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo

ACL 2023

Rethinking Style Transformer by Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model

Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, Jaegul Choo

EMNLP 2022

Development and Application of Web‑based Machine Learning Program for Automated Assessment Model Generation

Minseok Choi, Jaegul Choo, Minsu Ha

Brain, Digital, & Learning, Vol. 12, No. 4, pp. 567-578, 2022

ExpGuard: LLM Content Moderation in Specialized Domains

Minseok Choi*, Dongjin Kim*, Seungbin Yang*, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son

ICLR 2026

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning

Minseok Choi, ChaeHun Park, Dohyun Lee, Jaegul Choo

Preprint

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Minseok Choi, Daniel Rim, Dohyun Lee, Jaegul Choo

ACL 2025

Cross-Lingual Unlearning of Selective Knowledge in Multilingual Language Models

Minseok Choi, Kyunghyun Min, Jaegul Choo

EMNLP 2024 Findings

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison

ChaeHun Park, Minseok Choi, Dohyun Lee, Jaegul Choo

COLM 2024

Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models

Dohyun Lee*, Daniel Rim*, Minseok Choi, Jaegul Choo

ACL 2024 Findings

SimCKP: Simple Contrastive Learning of Keyphrase Representations

Minseok Choi, Chaeheon Gwak, Seho Kim, Si hyeong Kim, Jaegul Choo

EMNLP 2023 Findings

PRiSM: Enhancing Low-Resource Document-Level Relation Extraction with Relation-Aware Score Calibration

Minseok Choi, Hyesu Lim, Jaegul Choo

IJCNLP-AACL 2023 Findings

HistRED: A Historical Document-Level Relation Extraction Dataset

Soyoung Yang, Minseok Choi, Youngwoo Cho, Jaegul Choo

ACL 2023

Rethinking Style Transformer by Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model

Hojun Cho, Dohee Kim, Seungwoo Ryu, ChaeHun Park, Hyungjong Noh, Jeong-in Hwang, Minseok Choi, Edward Choi, Jaegul Choo

EMNLP 2022

Development and Application of Web‑based Machine Learning Program for Automated Assessment Model Generation

Minseok Choi, Jaegul Choo, Minsu Ha

Brain, Digital, & Learning, Vol. 12, No. 4, pp. 567-578, 2022

Vitæ

Full CV in PDF.