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RA-VLA achieves superior task adaptation in robotic manipulation by seamlessly integrating context retrieval with execution, outperforming traditional methods.
LLMs waste context on redundant information when making recommendations; selectively augmenting only lesser-known items boosts accuracy and efficiency.
