Alexandros Potamianos

A unified evaluation framework testing gradient and loss-based balancing strategies under controlled settings, and a theoretical diagnosis explaining why these methods fail, as they conflate fitting speed with discriminative contribution are provided.

Thinking types in LRMs directly correlate with correctness, revealing that cognitive profiling can enhance reasoning performance.

SeRIn reveals that isolating modality refinement from cross-modal integration can significantly boost sentiment analysis performance, challenging conventional fusion methods.