AI RESEARCH
Structured Uncertainty guided Clarification for LLM Agents
arXiv CS.AI
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ArXi:2511.08798v2 Announce Type: replace-cross LLM agents with tool-calling capabilities often fail when user instructions are ambiguous or incomplete, leading to incorrect invocations and task failures. Existing approaches operate in unstructured language spaces, generating clarifying questions through prompting strategies that lack principled criteria for determining which questions to ask and when to stop. We