SQLBench: A Comprehensive Evaluation for Text-to-SQL Capabilities of Large Language Models
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Abstract (arXiv)
Large Language Models (LLMs) have emerged as a powerful tool in advancing the Text-to-SQL task, significantly outperforming traditional methods.Nevertheless, as a nascent research field, there is still no consensus on the optimal prompt templates and design frameworks. Additionally, existing benchmarks inadequately explore the performance of LLMs across the various sub-tasks of the Text-to-SQL process, which hinders the assessment of LLMs' cognitive capabilities and the optimization of LLM-based solutions. To address the aforementioned issues, we firstly construct a new dataset designed to mitigate the risk of overfitting in LLMs. Then we formulate five evaluation tasks to comprehensively assess the performance of diverse methods across various LLMs throughout the Text-to-SQL process.Our study highlights the performance disparities among LLMs and proposes optimal in-context learning solutions tailored to each task. These findings offer valuable insights for facilitating the development of LLM-based Text-to-SQL systems.
Key facts. Cited by 32 papers in the map (data through 14 Oct 2026). Builds on 43 of its 60 references that are in the map. First posted on arXiv 5 Mar 2024.
Builds on
43 of 60 references.
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31 more
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Citing papers per year: 2024: 14; 2025: 13; 2026: 5.
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- 2024Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQLcited by 120
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- 2024MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQLcited by 35
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- 2026Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries12 Feb 2026
- 2026Sola-Visibility-ISPM: Benchmarking Agentic AI for Identity Security Posture Management Visibility11 Jan 2026
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- 2025Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling29 Sep 2025
- 2025LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL27 Sep 2025
- 2025MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction27 Sep 2025
- 2025SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization23 Aug 2025
- 2025End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation8 Aug 2025
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- 2025KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes6 Jun 2025
- 2025Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities28 May 2025
- 2025Meta-aware Learning in text-to-SQL Large Language Model25 May 2025
- 2025Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models25 Feb 2025
- 2024TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models7 Dec 2024
- 2024DMQR-RAG: Diverse Multi-Query Rewriting for RAG20 Nov 2024
- 2024Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL15 Oct 2024
- 2024Enhancing LLM Fine-tuning for Text-to-SQLs by SQL Quality Measurement2 Oct 2024
- 2024From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems1 Oct 2024
- 2024PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL21 Sep 2024
- 2024You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL18 Sep 2024
- 2024FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats16 Aug 2024
- 2024DAC: Decomposed Automation Correction for Text-to-SQL16 Aug 2024
- 2024A Survey on Employing Large Language Models for Text-to-SQL Tasks21 Jul 2024
- 2024Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems20 Jun 2024
- 2024MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL18 Jun 2024
- 2024Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL12 Jun 2024
- 2024PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency13 Mar 2024
- 2025Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scalingcited by 24
- 2024FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formatscited by 8
- 2024PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQLcited by 7
- 2025Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Explorationcited by 2
- 2025SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualizationcited by 0
- 2025Rethinking Text-to-SQL: Dynamic Multi-turn SQL Interaction for Real-world Database Exploration30 Oct 2025
- 2025Agentar-Scale-SQL: Advancing Text-to-SQL through Orchestrated Test-Time Scaling29 Sep 2025
- 2025SPORTSQL: An Interactive System for Real-Time Sports Reasoning and Visualization23 Aug 2025
- 2024PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL21 Sep 2024
- 2024FLEXTAF: Enhancing Table Reasoning with Flexible Tabular Formats16 Aug 2024
- 2026Sola-Visibility-ISPM: Benchmarking Agentic AI for Identity Security Posture Management Visibilitycited by 3
- 2025Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Modelscited by 2
- 2026Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoningcited by 2
- 2026Cross-Vendor Sola ISPM Benchmark: Evaluating Agentic AI for Federated Identity Security Reasoning1 Jun 2026
- 2026Sola-Visibility-ISPM: Benchmarking Agentic AI for Identity Security Posture Management Visibility11 Jan 2026
- 2025Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models25 Feb 2025
- 2024Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQLcited by 120
- 2024A Survey on Employing Large Language Models for Text-to-SQL Taskscited by 67
- 2024MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQLcited by 35
- 2025KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakescited by 33
- 2024PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistencycited by 27
- 2024DMQR-RAG: Diverse Multi-Query Rewriting for RAGcited by 27
- 2024You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQLcited by 11
- 2024Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systemscited by 6
- 2024DAC: Decomposed Automation Correction for Text-to-SQLcited by 6
- 2024TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Modelscited by 5
- 2026EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolutioncited by 5
- 2025Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunitiescited by 4
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- 2026From Natural Language to Executable Option Strategies via Large Language Models17 Mar 2026
- 2026EvoSchema: Towards Text-to-SQL Robustness Against Schema Evolution11 Mar 2026
- 2026Vibe Coding on Trial: Operating Characteristics of Unanimous LLM Juries12 Feb 2026
- 2025LLMSQL: Upgrading WikiSQL for the LLM Era of Text-to-SQL27 Sep 2025
- 2025MaskSQL: Safeguarding Privacy for LLM-Based Text-to-SQL via Abstraction27 Sep 2025
- 2025End-to-End Text-to-SQL with Dataset Selection: Leveraging LLMs for Adaptive Query Generation8 Aug 2025
- 2025Harnessing Temporal Databases for Systematic Evaluation of Factual Time-Sensitive Question-Answering in Large Language Models4 Aug 2025
- 2025LiLM-RDB-SFC: Lightweight Language Model with Relational Database-Guided DRL for Optimized SFC Provisioning15 Jul 2025
- 2025KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes6 Jun 2025
- 2025Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities28 May 2025
- 2025Meta-aware Learning in text-to-SQL Large Language Model25 May 2025
- 2024TransitGPT: A Generative AI-based framework for interacting with GTFS data using Large Language Models7 Dec 2024
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