Protecting Privacy Through Approximating Optimal Parameters for Sequence Unlearning in Language Models. - Dohyun Lee 001; Daniel Rim; Minseok Choi; Jaegul Choo (ACL (Findings), 2024)

PairEval: Open-domain Dialogue Evaluation with Pairwise Comparison. - ChaeHun Park; Minseok Choi; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

SNAP: Unlearning Selective Knowledge in Large Language Models with Negative Instructions. - Minseok Choi; Daniel Rim; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Breaking Chains: Unraveling the Links in Multi-Hop Knowledge Unlearning. - Minseok Choi; ChaeHun Park; Dohyun Lee 001; Jaegul Choo (CoRR, 2024)

Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport. - Minseok Choi; Daniel Rim; Dohyun Lee 001; Jaegul Choo (ACL (1), 2025)

Exploring In-context Example Generation for Machine Translation. - Dohyun Lee 001; Seungil Chad Lee; Chanwoo Yang; Yujin Baek; Jaegul Choo (ACL (Findings), 2025)

Revisiting LLMs as Zero-Shot Time-Series Forecasters: Small Noise Can Break Large Models. - Junwoo Park; Hyuck Lee; Dohyun Lee 001; Daehoon Gwak; Jaegul Choo (CoRR, 2025)