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Xinjiang University
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Graph-augmented LLMs fail to leverage provided graph evidence effectively, revealing a critical gap in their design that can be addressed with targeted interventions.
Achieve state-of-the-art robot manipulation success rates while slashing inference costs by up to 72% with A1, a fully open-source VLA framework that adaptively truncates computation.
