AI RESEARCH
Fast-dVLA: Accelerating Discrete Diffusion VLA to Real-Time Performance
arXiv CS.CV
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ArXi:2603.25661v1 Announce Type: cross This paper proposes a novel approach to address the challenge that pretrained VLA models often fail to effectively improve performance and reduce adaptation costs during standard supervised finetuning (SFT). Some advanced finetuning methods with auxiliary