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Gianluca Bardaro

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#machine learning Preprint Sep 2026

Decoupled Early Exits for Task-Dependent Compute Allocation in Flow-Matching VLAs

This work proposes a framework that exposes backbone depth V, action expert depth A, and denoising steps $D$ as three jointly configurable compute axes in a VLA, and introduces a KV Cache synthesis mechanism that manages the missing keys and values of the skipped backbone layers, allowing the action expert to exit deep...

Riccardo Andrea Izzo, Rimvydas Rubavicius, Gianluca Bardaro et al. · 0 citations

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