A new video benchmark jointly evaluates expressed and evoked emotion understanding in multimodal LLMs using perception, open-vocabulary recognition, and VAD rating tasks, with Bayesian pairwise alignment for scalable annotation.
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E$^3$mo-Bench: A Scalable Benchmark for Multimodal Evoked and Expressed Emotion Understanding via Bayesian Pairwise Alignment
A new video benchmark jointly evaluates expressed and evoked emotion understanding in multimodal LLMs using perception, open-vocabulary recognition, and VAD rating tasks, with Bayesian pairwise alignment for scalable annotation.