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When Does Retrieval Help? A Study of In-Context Adaptation in Vision-Language-Action Models
Vision-language-action (VLA) models have shown strong potential as generalist robot policies, but adapting them to unseen tasks often requires costly parameter updates. Recent work such as RICL introduces in-context adaptability by retrieving expert demonstrations based on the current VLA observatio
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