NL2SQLBench is a new modular benchmarking framework that evaluates LLM NL2SQL methods across three core modules on existing datasets, exposing large accuracy gaps and computational inefficiency.
A survey on employing large language models for text-to-SQL tasks.ACM Computing Surveys
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A self-healing LLM pipeline for natural language to PostgreSQL translation achieves up to 9.3 percentage point accuracy gains on benchmarks through error diagnosis and anti-regression mechanisms.
A paired benchmark demonstrates that providing an explicit semantic layer document improves LLM accuracy on text-to-SQL tasks by 17-23 percentage points and eliminates meaningful differences between frontier models.
A human-in-control LLM architecture translates natural language to OpenSearch DSL queries using hybrid lexical and semantic search in a secure private-cloud setup, shown via prototype on the Enron dataset.
citing papers explorer
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NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions
NL2SQLBench is a new modular benchmarking framework that evaluates LLM NL2SQL methods across three core modules on existing datasets, exposing large accuracy gaps and computational inefficiency.
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SQL Query Engine: A Self-Healing LLM Pipeline for Natural Language to PostgreSQL Translation
A self-healing LLM pipeline for natural language to PostgreSQL translation achieves up to 9.3 percentage point accuracy gains on benchmarks through error diagnosis and anti-regression mechanisms.
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Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models
A paired benchmark demonstrates that providing an explicit semantic layer document improves LLM accuracy on text-to-SQL tasks by 17-23 percentage points and eliminates meaningful differences between frontier models.
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A Cloud-Native Architecture for Human-in-Control LLM-Assisted OpenSearch in Investigative Settings
A human-in-control LLM architecture translates natural language to OpenSearch DSL queries using hybrid lexical and semantic search in a secure private-cloud setup, shown via prototype on the Enron dataset.