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Nanjing University
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Temporal Forcing boosts VLA model performance by over 2 points and doubles success rates in complex manipulation tasks by integrating temporal awareness into representation learning.
Turns out, the secret to Transformer efficiency might be hiding in plain sight: flatter loss landscapes implicitly encourage activation sparsity.
