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This is a Literature Review study.

October 20, 2025Open Access

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey

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Authors

YSYuntao ShouCentral South University of Forestry and Technology TMTao MengCentral South University of Forestry and Technology WAWei AiCentral South University of Forestry and Technology

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Implication

This comprehensive survey evaluates the role of multimodal large language models in emotion recognition, suggesting improvements in model architectures and datasets.

Key Points

Multimodal large language models improve emotion recognition and reasoning, indicating their potential in AI applications.
The survey highlights advancements in model architectures and performance benchmarks for LLMs and MLLMs in emotion contexts.
Challenges in integrating diverse modalities for emotion recognition and reasoning are detailed, emphasizing areas needing further research.
This research serves as a foundational reference for future studies on MLLMs and their applications in understanding emotional contexts.

Cite This Study

Shou et al. (2025) studied this question.

synapsesocial.com/papers/68f5fcce8d54a28a75cf1bf8 https://doi.org/10.48550/arxiv.2509.24322

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Implication

This comprehensive survey evaluates the role of multimodal large language models in emotion recognition, suggesting improvements in model architectures and datasets.

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey

Discussion

Member takes

Implication

Key Points

Cite This Study

Multimodal Large Language Models Meet Multimodal Emotion Recognition and Reasoning: A Survey

Discussion

Member takes

Implication

Key Points

Cite This Study

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