Duoquest: A Dual-Specification System for Expressive SQL Queries
Summary: Proposes Duoquest, a dual-specification system that combines natural-language queries with optional PBE-style table sketches to express SQL without full schema knowledge. Uses guided partial query enumeration to explore the space efficiently, delivering a 62.5% absolute accuracy gain over a leading NLI and more than 2x Spider top-1 accuracy vs NLI/PBE. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Christopher Baik
- 2. Zhongjun Jin
- 3. Michael Cafarella
- 4. H. V. Jagadish
Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 366 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00025580097 |
| 5,554 | PATSQL: Efficient Synthesis of SQL Queries from Example Tables with Quick Inference of Projected Columns | 2021 | VLDB | 5.4410603e-05 |
| 7,276 | DICE: Data Discovery by Example | 2021 | VLDB | 4.773228e-05 |
| 8,997 | Towards Enhancing Database Education: Natural Language Generation Meets Query Execution Plans | 2021 | SIGMOD | 4.4090643e-05 |
| 9,019 | Data-Driven Insight Synthesis for Multi-Dimensional Data | 2024 | VLDB | 4.4052498e-05 |
| 10,790 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB | 4.1905499e-05 |
| 11,038 | Relational Query Synthesis ⋈ Decision Tree Learning | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 10 of 10 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 205 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00034651121 |
| 535 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00020718836 |
| 1,456 | Query From Examples: An Iterative, Data-Driven Approach to Query Construction | 2015 | VLDB | 0.00011891284 |
| 1,502 | Discovering Queries based on Example Tuples | 2014 | SIGMOD | 0.00011614522 |
| 2,081 | Sample-Driven Schema Mapping | 2012 | SIGMOD | 9.58883e-05 |
| 2,577 | S4: Top-k Spreadsheet-Style Search for Query Discovery | 2015 | SIGMOD | 8.5066436e-05 |
| 2,717 | REGAL+: Reverse Engineering SPJA Queries | 2018 | VLDB | 8.2370772e-05 |
| 3,662 | Example-Driven Query Intent Discovery: Abductive Reasoning using Semantic Similarity | 2019 | VLDB | 6.8647421e-05 |
| 4,636 | Reverse Engineering SPJ-Queries from Examples | 2017 | PODS | 6.0270157e-05 |
| 8,801 | Constructing Expressive Relational Queries with Dual-Specification Synthesis | 2020 | CIDR | 4.4437822e-05 |
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