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September 5, 2025SymmetryOpen Access

Symmetry-Aware Advances in Multimodal Large Language Models: Architectures, Training, and Evaluation

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This survey analyzes model architectures and training of multimodal large language models, highlighting the importance of symmetry in reasoning.

Multimodal large language models demonstrate strong reasoning abilities across various tasks and modalities.
The survey systematically reviews architectures, training methodologies, and evaluation techniques in the realm of MLLMs.
Emerging trends in MLLMs focus on balanced integration of modalities, tasks, and symmetry-driven reasoning.
Key challenges in multimodal understanding are critically examined, offering potential solutions based on recent advancements.

Liu et al. (2025) studied this question.

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This survey analyzes model architectures and training of multimodal large language models, highlighting the importance of symmetry in reasoning.