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Beijing University of Posts and Telecommunications
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Execution feedback-driven optimization allows ACE-SQL to achieve a remarkable 65.3% accuracy in generating SQL queries from natural language, outperforming traditional methods.
Even without pre-loaded database schemas, a new RL agent matches or beats state-of-the-art text-to-SQL models that have full schema access.