English(EN) From Surface to Depth: Towards Cognitive Appraisal Reasoning in Multimodal Emotion Understanding

新框架通过认知评估推理增强多模态情感理解

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员引入了一个新的多模态情感理解框架，该框架超越了肤浅的线索-标签关联，转向认知评估推理。这种受情绪评估理论启发的模型，包括一个名为CogEmo-40K的数据集、一个名为CogEmo-MoE的紧凑型稀疏多模态大语言模型（MLLM）以及一个名为CogEmo-Bench的基准。该框架旨在通过评估潜在的认知-情感推理，而不仅仅是预测的情绪，来提高MLLM中情感理解的可靠性。 AI

影响引入了一种新颖的多模态情感理解方法，有望带来更可靠、更符合人类的AI系统。

排序理由该条目是一篇学术论文，详细介绍了一个用于多模态情感理解的新数据集、模型和基准。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Jia Li, Yichao He, Yangchen Yu, Qiankun Li, Xinyi Li, Baiyi Ye, Zhenzhen Hu, Richang Hong, Erik Cambria · 2026-10-09 04:00

从表面到深度：迈向多模态情感理解中的认知评估推理

arXiv:2610.11918v1 Announce Type: cross Abstract: Recent multimodal large language models (MLLMs) increasingly incorporate explainable reasoning for emotion understanding. However, reasoning based mainly on observable affective cues can reduce emotion understanding to superficial…

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从表面到深度：迈向多模态情感理解中的认知评估推理

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