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Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL

Summary: ZeroNL2SQL: fine-tuned SLMs (with novel database serialization and question-aware schema alignment) generate SQL sketches, then LLMs fill missing clauses and values. Multi-level value matching plus execution-based selection yields SOTA zero-shot NL2SQL (+5.5–20% execution accuracy). (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
h838501df0892a9cc
Venue
VLDB
Year
2024
Pagerank
7.2594757e-05
Overall Rank
3,489 | 76.56%
DOI
10.14778/3681954.3681960
PDF
Download (CC BY-NC-ND 4.0)

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{fan_vldb24,
        title = {{Combining Small Language Models and Large Language Models for Zero-Shot NL2SQL}},
        author = {Fan, Ju and Gu, Zihui and Zhang, Songyue and Zhang, Yuxin and Chen, Zui and Cao, Lei and Li, Guoliang and Madden, Samuel and Du, Xiaoyong and Tang, Nan},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {11},
        pages = {2753--2763},
        doi = {10.14778/3681954.3681960},
        url = {https://doi.org/10.14778/3681954.3681960},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 21 of 21 citing papers.

Rank Citing Paper Year Venue Pagerank
3,467 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 7.2749538e-05
4,384 R-Bot: An LLM-based Query Rewrite System 2025 VLDB 6.6232918e-05
8,306 ThriftLLM: On Cost-Effective Selection of Large Language Models for Classification Queries 2025 VLDB 5.3581613e-05
9,911 AgentTune: An Agent-Based Large Language Model Framework for Database Knob Tuning 2026 SIGMOD 5.1079647e-05
10,296 This is Going to Sound Crazy, But What If We Used Large Language Models to Boost Automatic Database Tuning Algorithms By Leveraging Prior History? We Will Find Better Configurations More Quickly Than Retraining From Scratch! 2026 SIGMOD 5.0407989e-05
10,477 HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search 2026 SIGMOD 4.9769913e-05
10,499 OctoSelector: Efficient and Effective Batch-Aware Model Selection for Large Language Models 2026 SIGMOD 4.9769913e-05
10,508 Reward-SQL: Boosting Text-to-SQL via Stepwise Execution-Aware Reasoning and Process-Supervised Rewards 2026 SIGMOD 4.9769913e-05
10,527 VecBench: A Controllable Benchmark for Filtered Vector Search: [Experiments & Analysis] 2026 SIGMOD 4.9769913e-05
10,556 Are Your LLM-based Text-to-SQL Models Secure? Exploring SQL Injection via Backdoor Attacks 2026 SIGMOD 4.9769913e-05
10,583 GeoKGM: A Multimodal Large Language Model for Zero-Shot Knowledge Graph Completion in Geospatial Databases 2026 SIGMOD 4.9769913e-05
10,596 PLForge: Enhancing Language Models for Natural Language to Procedural Extensions of SQL 2026 SIGMOD 4.9769913e-05
10,605 Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding 2026 SIGMOD 4.9769913e-05
10,701 The Case For Language Model Approximated LIKE Predicate 2026 SIGMOD 4.9769913e-05
10,705 NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions 2026 VLDB 4.9769913e-05
10,729 TACO: A Benchmark for Open-Domain Text-to-SQL with Ambiguous and Cross-Database Queries 2026 VLDB 4.9769913e-05
10,748 OpenSQL: Data-Efficient Text-to-SQL for Open-Source LLMs via Synthesized Intermediate Supervision 2026 VLDB 4.9769913e-05
10,949 Bridging NL2SQL for CAN Signal Analytics at NIO: From Externalized Schemas to CTE Pipelines 2026 VLDB 4.9769913e-05
11,038 Graph-Based Retrieval-Augmented Generation: Applications, Challenges, Solutions, and Opportunities 2026 VLDB 4.9769913e-05
11,278 Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation 2025 VLDB 4.9769913e-05
11,385 Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models 2025 VLDB 4.9769913e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

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