Machine learning-based utilization of lipid panels in predicting kidney dysfunction
Soie Kwon*, Donghwan Yoon*, Changhwa Park*, Sehoon Park, Yong Chul Kim, Dong Ki Kim, Kook-Hwan Oh, Kwon Wook Joo, Yon Su Kim, Sungroh Yoon, Seung Seok Han, in Kidney Research and Clinical Practice, January 2026. [* equal contribution]
paper link
Unbiased microRNA–disease association prediction using ICD-11 codes and negative sampling
Munyoung Chang, Jeonghee Jo, Junyong Ahn, Bong Gyun Kang, Sun Mo Nam, Chul-Kee Park, Sungroh Yoon, in Pharmacology Research & Perspectives , vol. 13, no. 6, p. e70192, December 2025.
paper link
RePIC: Reinforced Post-Training for Personalizing Multi-Modal Language Models
Yeongtak Oh, Jisoo Mok, Dohyun Chung, Juhyeon Shin, Sangha Park, Johan Barthelemy, Sungroh Yoon, in Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, December 2025.
preprint link arXiv
Interpretable Next-token Prediction via the Generalized Induction Head
Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao, in Proceedings of Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, USA, December 2025.
preprint link arXiv
Applications and Future Perspectives of Large Language Models in Otolaryngology-Head and Neck Surgery: A Comprehensive Survey
Junyong Ahn*, Bong Gyun Kang*, Munyoung Chang, Sungroh Yoon, Clinical & Experimental Otorhinolaryngology, vol. 18, no. 4, pp. 283-295, November 2025. [* equal contribution]
paper link
Exploring the Potential of LLMs as Personalized Assistants: Dataset, Evaluation, and Analysis
Jisoo Mok*, Ik-hwan Kim*, Sangkwon Park*, Sungroh Yoon, in Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL), Vienna, Austria, July 2025. [* equal contribution]
paper link arXiv