Disentangling Ambiguity from Instability in Large Language Models: A Clinical Text-to-SQL Case Study

Angelo Ziletti, Leonardo D'Ambrosi

Deploying large language models for clinical Text-to-SQL requires distinguishing two qualitatively different causes of output diversity: (i) input ambiguity that should trigger cla…