3 papers
cs.CL2026
PDCR: Perception-Decomposed Confidence Reward for Vision-Language Reasoning
Hee Suk Yoon, Eunseop Yoon, Ji Woo Hong +6
Reinforcement Learning with Verifiable Rewards (RLVR) traditionally relies on a sparse, outcome-based signal. Recent work shows that providing a fine-grained, model-intrinsic signa…
cs.CV2026
Simultaneous Long-tailed Recognition and Multi-modal Fusion for Highly Imbalanced Multi-modal Data
Heegeon Yoon, Heeyoung Kim
Long-tailed distributions in class-imbalanced data present a fundamental challenge for deep learning models, which tend to be biased toward majority classes. While recent methods f…
stat.ML2026
Multimodal Deep Generative Model for Semi-Supervised Learning under Class Imbalance
Heegeon Yoon, Heeyoung Kim
When modeling class-imbalanced data, it is crucial to address the imbalance, as models trained on such data tend to be biased towards the majority classes. This problem is amplifie…