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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 observation and providing them...
A teacher-student knowledge distillation framework in which large VLMs fine-tuned for fire understanding can be distilled into lightweight students is developed, which provides broader guidance for deploying domain-specialized VLMs in resource-constrained, safety-critical settings.
The results suggest that the accuracy--cost trade-off of long-term agent memory depends not only on what information is retained, but also on the granularity at which it is consolidated, and that the accuracy--cost trade-off of long-term agent memory depends not only on what information is retained, but also on the gra...
CAER introduces a span-grounded evidence router that transforms claim representations into soft textual queries and retrieves corresponding evidence from frozen visual tokens, enabling fine-grained conflict estimation and design a dual-prefix expert routing mechanism that learns separate experts for visually supported...
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