Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information 事件

Bridging the Detection-to-Abstention Gap in Reasoning Models under Insufficient Information arXiv:2605.28070v1 Announce Type: new Abstract: We highlight a failure mode of large reasoning models on questions with insufficient information: models may recognize that a problem is under-specified, yet still continue reasoning and produce unsupported final answers instead of abstaining. We formalize this mismatch as the detection-to-abstention gap, where detected insufficiency fails to translate into