Not All Layers Need Tuning: Diagnosing and Directing Adaptation in Vision-Language-Action Models
Fine-tuning a Vision-Language-Action (VLA) model for a new deployment environment is expensive, yet most methods apply uniform-capacity adapters to every network region as if every region requires equal adjustment. This paper tests that assumption on five architecturally diverse VLAs (OpenVLA-OFT, $\pi_0$, SmolVLA, DTP...
Shahram Najam Syed, Arthur Jakobsson, Prayuj Sachdev et al.
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