Graph Transformer Networks. - Seongjun Yun; Minbyul Jeong; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (NeurIPS, 2019)

Pre-trained Language Model for Biomedical Question Answering. - Wonjin Yoon; Jinhyuk Lee; Donghyeon Kim; Minbyul Jeong; Jaewoo Kang (PKDD/ECML Workshops (2), 2019)

A Neural Named Entity Recognition and Multi-Type Normalization Tool for Biomedical Text Mining. - Donghyeon Kim; Jinhyuk Lee; Chan Ho So; Hwisang Jeon; Minbyul Jeong; Yonghwa Choi; Wonjin Yoon; Mujeen Sung; Jaewoo Kang (IEEE Access, 2019)

HATS: A Hierarchical Graph Attention Network for Stock Movement Prediction. - Raehyun Kim; Chan Ho So; Minbyul Jeong; Sanghoon Lee; Jinkyu Kim; Jaewoo Kang (CoRR, 2019)

Transferability of Natural Language Inference to Biomedical Question Answering. - Minbyul Jeong; Mujeen Sung; Gangwoo Kim; Donghyeon Kim; Wonjin Yoon; Jaehyo Yoo; Jaewoo Kang (CLEF (Working Notes), 2020)

Answering Questions on COVID-19 in Real-Time. - Jinhyuk Lee; Sean S. Yi; Minbyul Jeong; Mujeen Sung; Wonjin Yoon; Yonghwa Choi; Miyoung Ko; Jaewoo Kang (NLP4COVID@EMNLP, 2020)

Learning by Semantic Similarity Makes Abstractive Summarization Better. - Wonjin Yoon; Yoon Sun Yeo; Minbyul Jeong; Bong-Jun Yi; Jaewoo Kang (CoRR, 2020)

Building a PubMed knowledge graph. - Jian Xu 003; Sunkyu Kim; Min Song 001; Minbyul Jeong; Donghyeon Kim; Jaewoo Kang; Justin F. Rousseau; Xin Li 091; Weijia Xu; Vetle I. Torvik; Yi Bu 001; Chongyan Chen; et al. (CoRR, 2020)

Can pandemics transform scientific novelty? Evidence from COVID-19. - Meijun Liu; Yi Bu 001; Chongyan Chen; Jian Xu 003; Daifeng Li; Yan Leng; Richard Barry Freeman; Eric Meyer; Wonjin Yoon; Mujeen Sung; Minbyul Jeong; Jinhyuk Lee; et al. (CoRR, 2020)

KU-DMIS at BioASQ 9: Data-centric and model-centric approaches for biomedical question answering. - Wonjin Yoon; Jaehyo Yoo; Sumin Seo; Mujeen Sung; Minbyul Jeong; Gangwoo Kim; Jaewoo Kang (CLEF (Working Notes), 2021)

Regularizing Models via Pointwise Mutual Information for Named Entity Recognition. - Minbyul Jeong; Jaewoo Kang (CoRR, 2021)

Data-Centric and Model-Centric Approaches for Biomedical Question Answering. - Wonjin Yoon; Jaehyo Yoo; Sumin Seo; Mujeen Sung; Minbyul Jeong; Gangwoo Kim; Jaewoo Kang (CLEF, 2022)

Enhancing Label Consistency on Document-level Named Entity Recognition. - Minbyul Jeong; Jaewoo Kang (CoRR, 2022)

Pandemics are catalysts of scientific novelty: Evidence from COVID-19. - Meijun Liu; Yi Bu 001; Chongyan Chen; Jian Xu 003; Daifeng Li; Yan Leng; Richard B. Freeman 002; Eric T. Meyer; Wonjin Yoon; Mujeen Sung; Minbyul Jeong; Jinhyuk Lee; et al. (J. Assoc. Inf. Sci. Technol., 2022)

Graph Transformer Networks: Learning meta-path graphs to improve GNNs. - Seongjun Yun; Minbyul Jeong; Sungdong Yoo; Seunghun Lee 001; Sean S. Yi; Raehyun Kim; Jaewoo Kang; Hyunwoo J. Kim (Neural Networks, 2022)

BERN2: an advanced neural biomedical named entity recognition and normalization tool. - Mujeen Sung; Minbyul Jeong; Yonghwa Choi; Donghyeon Kim; Jinhyuk Lee; Jaewoo Kang (Bioinform., 2022)

CompAct: Compressing Retrieved Documents Actively for Question Answering. - Chanwoong Yoon; Taewhoo Lee; Hyeon Hwang; Minbyul Jeong; Jaewoo Kang (EMNLP, 2024)

Improving medical reasoning through retrieval and self-reflection with retrieval-augmented large language models. - Minbyul Jeong; Jiwoong Sohn; Mujeen Sung; Jaewoo Kang (Bioinform., 2024)

OLAPH: Improving Factuality in Biomedical Long-form Question Answering. - Minbyul Jeong; Hyeon Hwang; Chanwoong Yoon; Taewhoo Lee; Jaewoo Kang (CoRR, 2024)

Does Time Have Its Place? Temporal Heads: Where Language Models Recall Time-specific Information. - Yein Park; Chanwoong Yoon; Jungwoo Park; Minbyul Jeong; Jaewoo Kang (ACL (1), 2025)

ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains. - Yein Park; Chanwoong Yoon; Jungwoo Park; Donghyeon Lee; Minbyul Jeong; Jaewoo Kang (ICLR, 2025)

System Message Generation for User Preferences using Open-Source Models. - Minbyul Jeong; Jungho Cho; Minsoo Khang; Dawoon Jung; Teakgyu Hong (CoRR, 2025)