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