A valid SQL query does not guarantee a correct answer to a natural language question. The system may return a syntactically correct query that misinterprets the question's intent, such as incorrectly defining 'active customers'. To address this, an "answerability contract" is proposed, which defines precise parameters for each question class, including metric definitions, data sources, and result validation criteria. This contract aims to ensure that the system either provides a verified answer, seeks clarification, or refuses to answer when the evidence is insufficient. AI
IMPACT This framework could improve the reliability of AI systems that translate natural language to SQL, leading to more trustworthy data analysis.
RANK_REASON The item discusses a conceptual framework for improving natural language SQL query processing, rather than announcing a new product, research finding, or industry event.
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