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Hybrid Querying Over Relational Databases and Large Language Models

Summary: Presents SWAN: the first cross-domain benchmark of 120 beyond-database questions over four real-world relational schemas for hybrid DB+LLM querying. Proposes schema-expansion and UDF-based integration, evaluates GPT‑4 Turbo (≤40% exec accuracy, 48.2% factuality) and exposes optimization needs and accuracy/factuality gaps. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
536
Venue
CIDR
Year
2025
Pagerank
6.1049669e-05
Overall Rank
4,535 | 68.46%
DOI
-

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

Rank Cited Paper Year Venue Pagerank
94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
119 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.0004564788
185 DuckDB: an Embeddable Analytical Database 2019 SIGMOD 0.00036538405
249 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00030740523
369 Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation 2024 VLDB 0.0002547515
517 Can Foundation Models Wrangle Your Data? 2023 VLDB 0.00021169035
2,327 Obtaining Complete Answers from Incomplete Databases 1996 VLDB 9.0276061e-05
2,809 Deco: A System for Declarative Crowdsourcing 2012 VLDB 8.0869896e-05
2,988 NL2SQL is a solved problem... Not! 2024 CIDR 7.7761714e-05
3,840 Revisiting Prompt Engineering via Declarative Crowdsourcing 2024 CIDR 6.7106924e-05
8,494 What Should A Database Know? 1988 PODS 4.4990924e-05
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