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Which Medical Questions Deserve Rationales? Perturbation-Sensitive Selection for Robust QA
Medical question-answering datasets often contain answer labels, whereas high-quality rationales remain scarce, noisy, or costly to validate. This changes the acquisition question: rather than asking which questions should be labeled, we ask which already-labeled questions should receive rationale supervision under a f...
Safe to Stop? Risk-Constrained Stopping for Sequential Clinical Diagnosis Agents
Cros, a risk-constrained stopping layer combining state-wise error ranking, policy design on disjoint development splits, and LTT-style exact tests of selective diagnostic error and minimum autonomous coverage for complete sequential policies, is presented.