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This work measures the boundary choice of a test-time controller to choose between stopping at the cap (strict) and allowing the current attempt to finish (advisory) with paired offline replays of public traces of AIME, BrUMO and HMMT problems and two archive configurations of one model.
This study presents the first comprehensive evaluation framework systematically assessing XAI robustness under natural image corruptions encountered in production environments and establishes the first evidence-based XAI robustness ranking under natural corruptions, providing actionable guidance for practitioners selec...
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