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Existing robotic methods falter in tackling fundamental physical reasoning challenges, as evidenced by KinDER's rigorous benchmark evaluation.
Visual reasoning models can slash token usage by up to 90% without sacrificing accuracy by adaptively choosing reasoning paths based on task complexity.
