3 papers
cs.LG2025
Weak-to-Strong Generalization under Distribution Shifts
Myeongho Jeon, Jan Sobotka, Suhwan Choi +1
As future superhuman models become increasingly complex, accurately supervising their behavior may exceed human capabilities. Recent works have demonstrated that in such scenarios,…
cs.SD2025
MMVA: Multimodal Matching Based on Valence and Arousal across Images, Music, and Musical Captions
Suhwan Choi, Kyu Won Kim, Myungjoo Kang
We introduce Multimodal Matching based on Valence and Arousal (MMVA), a tri-modal encoder framework designed to capture emotional content across images, music, and musical captions…
cs.LG2025
An Analysis of Model Robustness across Concurrent Distribution Shifts
Myeongho Jeon, Suhwan Choi, Hyoje Lee +1
Machine learning models, meticulously optimized for source data, often fail to predict target data when faced with distribution shifts (DSs). Previous benchmarking studies, though…