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Abstract: Although significant progress has been made in Text-to-SQL technology, existing methods still face challenges: insufficient adaptability between examples and the specific database schema, ...

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Abstract: Large Language Models have greatly enhanced the Text-to-SQL task. In this paper, we propose AES-SQL, an LLM-based approach based on few-shot Learning. We adjust the structure of the adaptive ...

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