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Clarity Is Not Assumed: Understanding LLM-Based Code Generation under Ambiguous Requirements
Software requirement ambiguity is ubiquitous in real-world development, stemming from the inherent imprecision of natural language and the varying interpretations of stakeholders. While Large Language Models (LLMs) have demonstrated impressive capabilities in generating code from precise specificati
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