Sphinteract: Resolving Ambiguities in NL2SQL Through User Interaction

Summary: Sphinteract: an interactive NL2SQL framework that resolves user-question ambiguities by eliciting minimal feedback via a Summarize–Review–Ask (SRA) loop to prompt LLMs for targeted clarifications. Proposes three feedback-integration methods and reports up to 42% accuracy gains on KaggleDBQA and BIRD, showing interactive disambiguation outperforms pure prompt/tuning approaches. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID: 13785
Venue: VLDB
Year: 2025
Pagerank: 4.4039656e-05
Overall Rank: 9,032 | 37.17%
DOI: 10.14778/3717755.3717772

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
10,217	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	4.1945683e-05
10,221	NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions	2026	VLDB	4.1945683e-05

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
206	Constructing an Interactive Natural Language Interface for Relational Databases	2015	VLDB	0.00034667032
369	Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation	2024	VLDB	0.0002547515
535	ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores	2016	VLDB	0.00020727678
984	Natural language to SQL: Where are we today?	2020	VLDB	0.00014857465
1,872	ReAcTable: Enhancing ReAct for Table Question Answering	2024	VLDB	0.00010259702
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
3,995	How Large Language Models Will Disrupt Data Management	2023	VLDB	6.5513237e-05
4,535	Hybrid Querying Over Relational Databases and Large Language Models	2025	CIDR	6.1049669e-05
5,353	An In-Depth Benchmarking of Text-to-SQL Systems	2021	SIGMOD	5.5521332e-05
5,658	Databases Unbound: Querying All of the World's Bytes with AI	2024	VLDB	5.385675e-05

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