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Static bias evaluations miss the mark; DeepBias reveals hidden vulnerabilities in LVLMs through an adaptive probing process that evolves with the model's responses.
Decomposing inputs into functional components lets you spot subtle, compositional anomalies that global or patch-based OOD detectors miss.
Decoupling high-level reasoning from low-level motor control in egocentric motion generation yields surprisingly realistic and controllable human movements.
