BeClaude
Research2026-05-06

EmoMM: Benchmarking and Steering MLLM for Multimodal Emotion Recognition under Conflict and Missingness

Source: Arxiv CS.AI

arXiv:2605.01024v1 Announce Type: cross Abstract: Multimodal Emotion Recognition (MER) is critical for interpreting real-world interactions. While Multimodal Large Language Models (MLLM) have shown promise in MER, their internal decision-making mechanisms under modality conflict and missingness...

arxivpapersbenchmarkmultimodal