Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents 事件

Ask or Assume? Uncertainty-Aware Clarification-Seeking in Coding Agents arXiv:2603.26233v2 Announce Type: replace Abstract: As Large Language Model (LLM) agents are increasingly deployed in open-ended domains like software engineering, they frequently encounter underspecified instructions that lack crucial context. While human developers naturally resolve underspecification by asking clarifying questions, current agents are largely optimized for autonomous execution. In this work, we systematic