Category / Sungroh Yoon
CANDI: Curated Test-time Adaptation for Multivariate Time-series Anomaly Detection under Distribution Shift
HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon, in Proceedings of the Fortieth AAAI Conference on Artificial Intelligence (AAAI), Singapore, January 2026.
preprint link
Beyond Language-Specific Neurons: The Challenge of Identifying Speech-Specific Neurons in Multimodal LLMs
Nohil Park, Che Hyun Lee, Jiheum Yeom, Heeseung Kim, Sungroh Yoon, in IEEE Journal of Selected Topics in Signal Processing, vol. 20, no. 1, pp. 90-98, January 2026.
preprint link
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