HiRoC: selective history routing and disagreement-aware calibration for multimodal conversational emotion recognition
Multimodal Emotion Recognition in Conversation (MERC) aims to infer speakers’ affective states from heterogeneous cues within evolving dialogue contexts. Although graph-based methods have shown strong potential in modeling conversational structures, they often introduce history through dense or predefined connections a...