Benchmarks seven open-source audio-video-text MLLMs on six affective datasets and shows a generative-knowledge prompting step improves fine-tuned emotion recognition.
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Multimodal Large Language Models for End-to-End Affective Computing: Benchmarking and Boosting with Generative Knowledge Prompting
Benchmarks seven open-source audio-video-text MLLMs on six affective datasets and shows a generative-knowledge prompting step improves fine-tuned emotion recognition.