EfficientVLA combines LLM layer pruning, task-aware visual token selection, and diffusion-head feature caching to cut CogACT's inference cost to 28.9% of baseline FLOPs with a 0.6% SIMPLER success drop.
Blip: Bootstrapping language-image pre-training for unified vision- language understanding and generation,
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EfficientVLA: Training-Free Acceleration and Compression for Vision-Language-Action Models
EfficientVLA combines LLM layer pruning, task-aware visual token selection, and diffusion-head feature caching to cut CogACT's inference cost to 28.9% of baseline FLOPs with a 0.6% SIMPLER success drop.