clarification seeking

Uncertainty Decomposition Enables LLM Agents to Proactively Seek Clarification on Ambiguous Tasks

A new arXiv paper introduces a prompt-based uncertainty decomposition method that separates action confidence from request uncertainty, enabling LLM agents to ask for clarification when task specifications are ambiguous. Evaluated on two new benchmarks with 50% underspecified tasks, the method improves clarification F1 by 73% over ReAct+UE and 36% over Uncertainty-Aware Memory across five LLM backbones.