Unverified50% confidenceFactExact time
The implementation path for applying LLMs to structured data queries typically involves first translating natural language into structured query statements (such as SQL or API calls), and then having the LLM semantically interpret the results—a path also known as Text-to-SQL or NL2Query.
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9/12/2026
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Partially VerifiedText-to-SQL is a research direction in NLP with the core goal of automatically converting natural language questions into SQL query statements executable on relational databases74% similarUnverifiedNatural language database querying technology (Text-to-SQL/NL2SQL) uses large language models to automatically generate SQL statements by combining natural language queries with database schema information.72% similarUnverifiedLLM 与形式化证明系统结合主要有生成式（Generative）和搜索引导式（Search-Guided）两种范式71% similarUnverified直接让 LLM 生成 SQL 存在语义漂移和幻觉问题，可能引用不存在的字段或表名70% similarUnverifiedText-to-SQL technology has evolved from rule-based approaches, to Seq2Seq models (such as IRNet), to pre-trained model fine-tuning (such as BRIDGE and PICARD), and then to LLM prompt engineering.70% similar
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