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Generative models can encode meaningful physical knowledge, achieving execution success in robot manipulation tasks even when visual quality is subpar.
Surprisingly, the "think before answer" paradigm fails to enhance generative recommendation models, prompting a novel approach that redefines how reasoning is integrated into these systems.
