Author

S. Khajavi

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#machine learning Preprint Oct 2026

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 observation and providing them...

Zi-Xuan Liu, J. Koster, Zizhan Zheng et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Distilling Vision-Language Models for On-Device Fire Understanding

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.

Mohammad Kazzazi, Zi-Xuan Liu, S. Khajavi · 0 citations