AI真的懂不同人群的情绪吗？这项研究实测多款大模型对文本情绪框架的共情对齐程度。
arXiv:2607.27232v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly shaping how we consume information and form our worldv…
探究AI生成的建筑图像如何通过脑电信号唤醒敬畏、厌恶等情绪，跨学科融合计算机视觉与神经科学。
arXiv:2607.24808v1 Announce Type: cross Abstract: Emotional responses to biodigital architecture were examined using electroencephalographic (EEG) dat…
提出Token-Region引导的交叉注意力融合方法，让多模态情感理解更精准
arXiv:2607.23493v1 Announce Type: new Abstract: Automated analysis of multimodal content on social networks has become a critical task for understandi…
大模型能否读懂细腻情感？零样本测试揭示AI在细粒度情绪识别上的真实边界，情感计算新基准。
arXiv:2607.00968v1 Announce Type: new Abstract: Emotion recognition in natural language is a foundational challenge in affective computing, with criti…
把语音情感识别装进隐私保护框架，为对话分析提供更可信的AI计算新思路。
arXiv:2606.24941v1 Announce Type: cross Abstract: Reviewing recorded interviews for affective cues such as composure, hesitation and agitation is slow…
多模态大模型也能「读懂」人类情感？这篇新研究揭示了跨界能力
arXiv:2508.16873v3 Announce Type: replace Abstract: Understanding how visual content conveys sentiment is increasingly important in a digital landscap…
用自定进度课程学习平衡多模态对话中的情感识别，提升模型在复杂互动场景中的表现。
arXiv:2605.21565v1 Announce Type: new Abstract: Multimodal Emotion Recognition in Conversations (MERC) is a crucial task for understanding human inter…