---
id: 20260630-T0-14
title: "MER-R1：显式推理未必能提升多模态情感识别，快慢思考协同更有效"
title_en: "MER-R1: Explicit Reasoning Does Not Guarantee Better Multimodal Emotion Recognition"
url: https://ai.daily.yangsir.net/daily/20260630-T0-14
issue_date: 2026-06-30
publish_date: 2026-06-29T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2606.27652
---

# MER-R1：显式推理未必能提升多模态情感识别，快慢思考协同更有效

arXiv:2606.27652v1 发布。一项针对多模态情感识别（MER）的研究发现，显式的推理链并不总是带来更高的准确率。为此，研究人员提出了MER-R1模型，利用“快慢思考”协同机制（Slow-Fast Thinking Synergy）来优化预测过程。结果显示，通过直接触发“快思考”并结合“慢思考”的反思，模型在保持可解释性的同时提升了情感识别的精度。

## English Version

**MER-R1: Explicit Reasoning Does Not Guarantee Better Multimodal Emotion Recognition**

arXiv:2606.27652v1 released. A study on Multimodal Emotion Recognition (MER) finds that explicit reasoning chains do not always translate to higher accuracy. Researchers introduced MER-R1, utilizing a Slow-Fast Thinking Synergy mechanism to optimize predictions. Results show that triggering 'fast thinking' for direct action, combined with 'slow thinking' reflection, improves recognition accuracy while maintaining interpretability.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2606.27652)

**详情页**：https://ai.daily.yangsir.net/daily/20260630-T0-14

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