3 papers
cs.LG2026
Contrastive Residual Energy Test-time Adaptation
Yewon Han, Seoyun Yang, Taesup Kim
Test-time adaptation (TTA) enhances model robustness by enabling adaptation to target distributions that differ from training distributions, improving real-world generalizability.…
cs.LG2026
DiSPA: Differential Substructure-Pathway Attention for Drug Response Prediction
Yewon Han, Sunghyun Kim, Eunyi Jeong +3
Accurate prediction of drug response in precision medicine requires models that capture how specific chemical substructures interact with cellular pathway states. However, most exi…
cs.CV2026
Two Birds, One Projection: Harmonizing Safety and Utility in LVLMs via Inference-time Feature Projection
Yewon Han, Yumin Seol, EunGyung Kong +2
Existing jailbreak defence frameworks for Large Vision-Language Models often suffer from a safety utility tradeoff, where strengthening safety inadvertently degrades performance on…