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Rewarding Efficient Reasoning Improves Abstention on Underspecified Tasks in Reasoning Models
While modern large reasoning models (LRMs) excel at providing correct answers in many tasks, we provide additional evidence for the observation that they often struggle with a critical capability: knowing when to abstain from answering. We analyze this gap by comparing LRM behavior to results from a
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