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ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL

new Abstract: Text-to-SQL translates natural language into executable SQL queries. Few-shot in-context learning methods built upon large language models (LLMs) achieve strong performance, yet their reliance on demonstrations limits cross-domain generalization and consumes substantial context window space. Existing zero-shot methods, lacking effective generation constraints, still fall short of few-shot approaches.

arXiv CS 1d ago