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University of Science and Technology
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MLLMs can overcome self-referential bias and improve visual grounding by actively exploring and correcting their cognitive deficiencies, guided by token-level epistemic uncertainty.
Achieve superhuman dexterity: ALAS unlocks robust long-horizon task completion by decoupling environment understanding from motor control, enabling generalization across diverse human-scene interaction scenarios.
