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)

Interpretable disease prediction using heterogeneous patient records with self-attentive fusion encoder. - Heeyoung Kwak; Jooyoung Chang; Byeongjin Choe; Sang Min Park; Kyomin Jung (J. Am. Medical Informatics Assoc., 2021)

Subgraph Representation Learning with Hard Negative Samples for Inductive Link Prediction. - Heeyoung Kwak; Hyunkyung Bae; Kyomin Jung (ICASSP, 2022)

BREAK: Breaking the Dialogue State Tracking Barrier with Beam Search and Re-ranking. - Seungpil Won; Heeyoung Kwak; Joongbo Shin; Janghoon Han; Kyomin Jung (ACL (1), 2023)

EHRNoteQA: An LLM Benchmark for Real-World Clinical Practice Using Discharge Summaries. - Sunjun Kweon; Jiyoun Kim; Heeyoung Kwak; Dongchul Cha; Hangyul Yoon; Kwang Kim; Jeewon Yang; Seunghyun Won; Edward Choi (NeurIPS, 2024)

EHRNoteQA: A Patient-Specific Question Answering Benchmark for Evaluating Large Language Models in Clinical Settings. - Sunjun Kweon; Jiyoun Kim; Heeyoung Kwak; Dongchul Cha; Hangyul Yoon; Kwanghyun Kim; Seunghyun Won; Edward Choi (CoRR, 2024)