Publications
Author order as published; asterisks mark equal contribution. Selected publications are starred (★) in the full list.
Showing 6 of 6
Heedou Kim, Mogan Gim, Donghee Choi, Hoonick Lee, Soonil Bae, Mi-Young Kim, Jaewoo Kang
International Joint Conference on Artificial Intelligence (IJCAI)
An LLM-based chain-of-response system for detecting online scams and generating safe counter-responses.
Hajung Kim*, Hoonick Lee*, Yewon Cho*, Jungwoo Park*, Jueon Park*, Soyon Park*, Yan Ting Chok*, Seungheun Baek*, Donghyeon Lee*, Jaewoo Kang
* Equal contribution
CLEF 2025 Working Notes, CEUR Workshop Proceedings, Vol. 4038, pp. 373–382
1st place overall, BioASQ 13b Phase B (Exact Answers)
Snippet-aware prompting strategies for biomedical question answering; the system behind KU-DMIS's first-place overall result in BioASQ 13b Phase B.
Hoonick Lee, Mogan Gim, Donghee Choi, Jaewoo Kang
2025 IEEE International Conference on Data Mining Workshops (ICDMW), CoGamy Workshop, pp. 657–660
Introduces the ASH (Authenticity, Sensitivity, Harmony) framework to evaluate how LLMs handle culturally grounded creativity in cuisine transfer.
C. Kim, W. J. Yoon, H. Lee, J. O. Lee, M. Afshar, J. Kang, T. Miller
medRxiv
Examines how information available to different modalities (clinical notes vs. structured data) shapes mortality prediction performance.
M. Song, T. Lee, H. Hwang, Y. Park, C. Yoon, H. Lee, D. Kim, S. Park, J. Lee, et al.
Proceedings of the Korea Computer Congress (KCC), KIISE, pp. 910–912
Studies how high-pressure and emotionally charged prompts change LLM behavior and output quality.
Hajung Kim, Chanhwi Kim, Hoonick Lee, Kyochul Jang, Jiwoo Lee, Kyungjae Lee, Gangwoo Kim, Jaewoo Kang
Proceedings of the 6th Clinical Natural Language Processing Workshop (NAACL 2024), pp. 672–686
A question-templatization approach for reliable natural-language-to-SQL generation over electronic health records, built for the EHRSQL 2024 shared task.