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English(EN) AffectAgent: Collaborative Multi-Agent Reasoning for Retrieval-Augmented Multimodal Emotion Recognition

AffectAgent框架通过协作智能体增强多模态情感识别

作者 PulseAugur 编辑部 · [1 个来源] ·

研究人员推出AffectAgent，一个旨在改进多模态情感识别的新型多智能体框架。该系统利用专业智能体之间的协作推理，比单智能体或标准检索增强生成方法更准确地分析情感状态。AffectAgent采用模态平衡专家混合（Modality-Balancing Mixture of Experts）和检索增强自适应融合（Retrieval-Augmented Adaptive Fusion）等技术来处理跨模态异质性和缺失数据，在MER-UniBench基准测试中表现出色。 AI

影响 引入了一种新颖的多智能体方法，用于更细致、更准确的多模态情感识别，有望改进人机交互和情感计算领域的应用。

排序理由 该集群包含一篇详细介绍多模态情感识别新框架和方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CV 阅读 →

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AffectAgent框架通过协作智能体增强多模态情感识别

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该集群包含一篇详细介绍多模态情感识别新框架和方法的论文。[lever_c_demoted from research: ic=1 ai=1.0]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Zeheng Wang, Zitong Yu, Yijie Zhu, Bo Zhao, Haochen Liang, Taorui Wang, Wei Xia, Jiayu Zhang, Zhishu Liu, Hui Ma, Fei Ma, Qi Tian ·

    AffectAgent：用于检索增强的多模态情感识别的协作多智能体推理

    arXiv:2604.12735v2 Announce Type: replace Abstract: LLM-based multimodal emotion recognition relies on static parametric memory and often hallucinates when interpreting nuanced affective states. In this paper, given that single-round retrieval-augmented generation is highly susce…

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