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NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions
Summary: Modular benchmark for LLM-NL2SQL, decomposing systems into schema selection, candidate generation, and query revision with fine-grained accuracy/efficiency metrics. Reveals major gaps in open-source methods, plus dataset/eval flaws (e.g., noisy gold SQL), providing a reproducible baseline for fair comparison.
(summarized by gpt-5.4-mini on Apr 12 2026)
- Paper ID
- 14255
- Venue
- VLDB
- Year
- 2026
- Pagerank
- 4.1945683e-05
- Overall Rank
- 10,221 | 28.90%
- DOI
-
10.14778/3796195.3796211
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 369 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.0002547515 |
| 998 |
CodeS: Towards Building Open-source Language Models for Text-to-SQL |
2024 |
SIGMOD |
0.00014729379 |
| 2,433 |
ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems |
2024 |
VLDB |
8.8285962e-05 |
| 2,988 |
NL2SQL is a solved problem... Not! |
2024 |
CIDR |
7.7761714e-05 |
| 3,662 |
The Dawn of Natural Language to SQL: Are We Fully Ready? |
2024 |
VLDB |
6.8672143e-05 |
| 3,859 |
OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment |
2025 |
SIGMOD |
6.6907933e-05 |
| 3,978 |
OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale |
2025 |
VLDB |
6.5725884e-05 |
| 4,908 |
Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL |
2024 |
VLDB |
5.8339245e-05 |
| 6,762 |
Natural Language Querying of Complex Business Intelligence Queries |
2019 |
SIGMOD |
4.9345125e-05 |
| 7,139 |
Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency |
2025 |
SIGMOD |
4.821174e-05 |
| 8,688 |
NeurDB: On the Design and Implementation of an AI-powered Autonomous Database |
2025 |
CIDR |
4.4673127e-05 |
| 9,032 |
Sphinteract: Resolving Ambiguities in NL2SQL Through User Interaction |
2025 |
VLDB |
4.4039656e-05 |
| 9,243 |
Demonstration of DB-GPT: Next Generation Data Interaction System Empowered by Large Language Models |
2024 |
VLDB |
4.3690661e-05 |
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