[KongchangAI]
Paper

VLA-Δ

A decision-centric vision-language-action architecture that replaces autoregressive decoding with a single classification token. It matches state-of-the-art results on the LIBERO benchmark and improves spatial reasoning.

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Oct 19

VLA-Δ proposes a decision-centric architecture that replaces expensive autoregressive decoding with a single classification token, matching the current state of the art on the LIBERO benchmark while improving spatial reasoning.

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