DBPal: A Fully Pluggable NL2SQL Training Pipeline

Summary: DBPal proposes a pluggable NL2SQL pipeline that automatically generates synthetic data to augment existing NL2SQL models. It improves translation accuracy and robustness, with DB-specific specialization, reducing reliance on costly labeled data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 5864
Venue: SIGMOD
Year: 2020
Pagerank: 9.2060425e-05
Overall Rank: 2,079 | 85.74%
DOI: 10.1145/3318464.3380589

Incoming Non-self Citations Over Time

Authors

1. Nathaniel Weir (Johns Hopkins University)
2. Prasetya Utama (Technical University of Darmstadt)
3. Alex Galakatos (Brown University)
4. Andrew Crotty (Brown University)
5. Amir Ilkhechi (Brown University)
6. Shekar Ramaswamy (Brown University)
7. Rohin Bhushan (Brown University)
8. Nadja Geisler (Technical University of Darmstadt)
9. Benjamin Hättasch (Technical University of Darmstadt)
10. Steffen Eger (Technical University of Darmstadt)
11. Ugur Cetintemel (Brown University)
12. Carsten Binnig (Technical University of Darmstadt)

BibTeX Citation

@inproceedings{weir_sigmod20,
        title = {{DBPal: A Fully Pluggable NL2SQL Training Pipeline}},
        author = {Weir, Nathaniel and Utama, Prasetya and Galakatos, Alex and Crotty, Andrew and Ilkhechi, Amir and Ramaswamy, Shekar and Bhushan, Rohin and Geisler, Nadja and Hättasch, Benjamin and Eger, Steffen and Cetintemel, Ugur and Binnig, Carsten},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3380589},
        url = {https://dl.acm.org/doi/10.1145/3318464.3380589},
        year = {2020}
}

Incoming Citations (Sorted by Pagerank)

Showing 11 of 11 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,444	CatSQL: Towards Real World Natural Language to SQL Applications	2023	VLDB	0.00010769944
2,039	ScienceBenchmark: A Complex Real-World Benchmark for Evaluating Natural Language to SQL Systems	2024	VLDB	9.2721259e-05
2,395	OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale	2025	VLDB	8.6355093e-05
3,339	A Deep Dive into Deep Learning Approaches for Text-to-SQL Systems	2021	SIGMOD	7.5047676e-05
3,354	MT-Teql: Evaluating and Augmenting Neural NLIDB on Real-world Linguistic and Schema Variations	2022	VLDB	7.4918609e-05
4,809	Synthesizing Natural Language to Visualization (NL2VIS) Benchmarks from NL2SQL Benchmarks	2021	SIGMOD	6.4984309e-05
8,945	Generation of Training Examples for Tabular Natural Language Inference	2023	SIGMOD	5.3480421e-05
9,870	Natural Language to SQL: State of the Art and Open Problems	2025	VLDB	5.2043672e-05
9,881	The Image Calculator: 10x Faster Image-AI Inference by Replacing JPEG with Self-designing Storage Format	2024	SIGMOD	5.2040783e-05
10,998	SiriusBI: A Comprehensive LLM-Powered Solution for Data Analytics in Business Intelligence	2025	VLDB	5.093636e-05
11,737	DBTagger: Multi-Task Learning for Keyword Mapping in NLIDBs Using Bi-Directional Recurrent Neural Networks	2021	VLDB	5.093636e-05

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
179	Constructing an Interactive Natural Language Interface for Relational Databases	2015	VLDB	0.00026838277
205	Snorkel: Rapid Training Data Creation with Weak Supervision	2018	VLDB	0.00025235185
459	ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores	2016	VLDB	0.00018101318
555	NaLIR: An Interactive Natural Language Interface for Querying Relational Databases	2014	SIGMOD	0.00016568053
910	Cosette: An Automated Prover for SQL	2017	CIDR	0.00013285905
1,004	Democratizing Data Science through Interactive Curation of ML Pipelines	2019	SIGMOD	0.00012701932
1,182	SQAK: Doing More with Keywords	2008	SIGMOD	0.00011778765
1,214	SODA: Generating SQL for Business Users	2012	VLDB	0.0001163751
1,828	Making the Case for Query-by-Voice with EchoQuery	2016	SIGMOD	9.6689075e-05
1,922	QUEST: A Keyword Search System for Relational Data based on Semantic and Machine Learning Techniques	2013	VLDB	9.479259e-05
2,050	Vizdom: Interactive Analytics through Pen and Touch	2015	VLDB	9.2546631e-05
3,370	Revisiting Reuse for Approximate Query Processing	2017	VLDB	7.4700891e-05
3,381	Ava: From Data to Insights Through Conversation	2017	CIDR	7.4571963e-05

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