AINeutralarXiv – CS AI · 3h ago7/10
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Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information
Researchers identify a critical failure mode in large reasoning models where they detect insufficient information but still produce unsupported answers instead of abstaining. The proposed Judge-Then-Solve (JTS) framework trains models to make explicit answerability commitments before reasoning, significantly improving safe abstention rates and inference efficiency.