Unverified50% confidenceFactExact time
Text-to-SQL技术经历了从基于规则、到Seq2Seq模型（如IRNet）、到预训练模型微调（如BRIDGE、PICARD）、再到LLM提示工程的演进
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50%
Confidence
Long-term
Relevance
8/30/2026
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Unverified2017年Salesforce发布的Seq2SQL首次将深度学习引入Text-to-SQL问题，将SQL生成建模为序列到序列的翻译任务76% similarUnverifiedText-to-SQL领域有PICARD、RESDSQL等兼顾准确率与执行可靠性的开源模型74% similarUnverifiedText-to-SQL transforms the traditional approach of developers hardcoding SQL into an interactive natural-language-driven experience enabling business users to query databases without knowing SQL syntax73% similarUnverified语义注入层而非模型扩参，是提升企业 Text-to-SQL 可靠性的更优路径72% similarUnverifiedIRNet和RATSQL等基于Seq2Seq和Transformer的模型在Spider基准数据集上取得了Text-to-SQL的突破70% similar
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