AI RESEARCH
DDOR: Delta Debugging for Explainable Overrefusal Testing and Repair
arXiv CS.AI
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ArXi:2606.03601v1 Announce Type: cross While safety alignment and guardrails help large language models (LLMs) avoid harmful outputs, they can also induce overrefusal, i.e., unwarranted rejection of benign queries that merely appear risky. We present DDOR (Delta Debugging for OverRefusal), a fully automated and explainable framework for overrefusal testing and repair in a black-box setting, where only model inputs and outputs are accessible and internal safety mechanisms remain opaque.