Drug-Disease Graph: Predicting Adverse Drug Reaction Signals via Graph Neural Network with Clinical Data. - Heeyoung Kwak; Minwoo Lee 003; Seunghyun Yoon 002; Jooyoung Chang; Sang Min Park; Kyomin Jung (PAKDD (2), 2020)

RABERT: Relation-Aware BERT for Target-Oriented Opinion Words Extraction. - Taegwan Kang; Minwoo Lee 003; Nakyeong Yang; Kyomin Jung (CIKM, 2021)

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models. - Minwoo Lee 003; Seungpil Won; Juae Kim; Hwanhee Lee; Cheon-Eum Park; Kyomin Jung (CIKM, 2021)

Learning to Detect Incongruence in News Headline and Body Text via a Graph Neural Network. - Seunghyun Yoon 002; Kunwoo Park; Minwoo Lee 003; Taegyun Kim; Meeyoung Cha; Kyomin Jung (IEEE Access, 2021)

Target-Agnostic Gender-Aware Contrastive Learning for Mitigating Bias in Multilingual Machine Translation. - Minwoo Lee 003; Hyukhun Koh; Kang-il Lee 001; Dongdong Zhang; Minsung Kim; Kyomin Jung (EMNLP, 2023)

Asking Clarification Questions to Handle Ambiguity in Open-Domain QA. - Dongryeol Lee; Segwang Kim; Minwoo Lee 003; Hwanhee Lee; Joonsuk Park; Sang-Woo Lee; Kyomin Jung (EMNLP (Findings), 2023)

Can LLMs Recognize Toxicity? A Structured Investigation Framework and Toxicity Metric. - Hyukhun Koh; Dohyung Kim; Minwoo Lee 003; Kyomin Jung (EMNLP (Findings), 2024)

Fine-grained Gender Control in Machine Translation with Large Language Models. - Minwoo Lee 003; Hyukhun Koh; Minsung Kim; Kyomin Jung (NAACL-HLT, 2024)

Can LLMs Recognize Toxicity? Structured Toxicity Investigation Framework and Semantic-Based Metric. - Hyukhun Koh; Dohyung Kim; Minwoo Lee 003; Kyomin Jung (CoRR, 2024)

Return of EM: Entity-driven Answer Set Expansion for QA Evaluation. - Dongryeol Lee; Minwoo Lee 003; Kyungmin Min; Joonsuk Park; Kyomin Jung (COLING, 2025)