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M. Zolfaghari

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Preprint Sep 2026

VisionPsy-Nano: Improving Accuracy, Efficiency, and Reliability in On-Device Vision-Language Models

Sub-billion-parameter Vision-Language Models are increasingly viable for on-device deployment, yet compact model size alone does not guarantee usability. On a phone, such a model can still require more than two minutes to produce its first token. On-device usability depends on three axes: accuracy, efficiency, and beha...

Khurram Azeem Hashmi, M. Zolfaghari, Changdae Park et al. · 0 citations

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