EmoTrans is a new video benchmark with four progressive tasks that measures how well current multimodal LLMs handle dynamic emotion transitions rather than static recognition.
arXiv preprint arXiv:2511.02712 (2025)
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A multimodal fusion model using cognitive appraisal theory, transformers, and fuzzy logic predicts video-induced pleasure levels with 0.6624 accuracy by inferring appraisal variables.
citing papers explorer
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EmoTrans: A Benchmark for Understanding, Reasoning, and Predicting Emotion Transitions in Multimodal LLMs
EmoTrans is a new video benchmark with four progressive tasks that measures how well current multimodal LLMs handle dynamic emotion transitions rather than static recognition.
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Modeling Induced Pleasure through Cognitive Appraisal Prediction via Multimodal Fusion
A multimodal fusion model using cognitive appraisal theory, transformers, and fuzzy logic predicts video-induced pleasure levels with 0.6624 accuracy by inferring appraisal variables.