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Fudan University
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UniDexTok slashes reconstruction errors by over 98% for dexterous hands, achieving unprecedented accuracy without relying on retargeting.
Closed-loop evaluation reveals how VLMs for autonomous driving handle the messy reality of off-road deviations and out-of-distribution states, something static QA datasets can't capture.
