Symbiotic-MoE introduces modality-aware expert disentanglement and progressive training in a multimodal MoE to achieve synergistic generation and understanding without task interference or extra parameters.
In: European Conference on Computer Vision
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The paper surveys and taxonomizes inference optimization methods for large vision-language models across four categories while noting limitations and open problems.
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Symbiotic-MoE: Unlocking the Synergy between Generation and Understanding
Symbiotic-MoE introduces modality-aware expert disentanglement and progressive training in a multimodal MoE to achieve synergistic generation and understanding without task interference or extra parameters.
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Towards Efficient Large Vision-Language Models: A Comprehensive Survey on Inference Strategies
The paper surveys and taxonomizes inference optimization methods for large vision-language models across four categories while noting limitations and open problems.