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National Tsing Hua University, National Taiwan University
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VLA models fail not by ignoring instructions, but by misbinding them to incorrect action trajectories, a problem solved by training with counterfactually paired demonstrations.
Overcoming the quadratic complexity of historical context integration, DCA achieves significant efficiency gains while enhancing performance in Vision-Language Models.
