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cs.MM2026
Learning to Prefer Reliably: Error-Augmented Emotion Preference Optimization with Calibrated Fusion
Zilong Huang, Junyi Peng, Junjie Li +5
Emotion preference learning uses pairwise comparisons between candidate descriptions to align multimodal large language models (MLLMs) with human judgments of open-ended emotion de…
cs.MM2026
EmoEUS: Uncertainty Supervision for Multimodal Emotion Recognition in Conversation
Zilong Huang, Kong Aik Lee, Junjie Li +2
Multimodal emotion recognition in conversation (MERC) can leverage multimodal and contextual cues to boost recognition performance. However, existing fusion approaches in MERC ofte…
cs.MM2026
EII-SCL: Harnessing Emotional Inertia for Multimodal Emotion Recognition in Conversation
Zilong Huang, Kong Aik Lee, Chong-Xin Gan +3
Multimodal emotion recognition in conversation (MERC) achieves accurate predictions by integrating multimodal and contextual information in dialogues. While current MERC approaches…