DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning
Summary: DIVER: robust Text-to-SQL via automatic evidence reasoning, replacing expert-written schema/value evidence with iterative tool-based probing. Key novelty: dynamic interactive value linking in a structured CoTF workspace, boosting robustness on large, dynamic DB values. (summarized by gpt-5-mini on Apr 11 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Yafeng Nan (Beijing Institute of Technology)
- 2. Haifeng Sun (Beijing Institute of Technology)
- 3. Zirui Zhuang (Beijing Institute of Technology)
- 4. Qi Qi (Beijing Institute of Technology)
- 5. Guojun Chu (Beijing Institute of Technology)
- 6. Jianxin Liao (Beijing Institute of Technology)
- 7. Dan Pei (Tsinghua University)
- 8. Jingyu Wang (Beijing Institute of Technology)
BibTeX Citation
@inproceedings{nan_sigmod26,
title = {{DIVER: A Robust Text-to-SQL System with Dynamic Interactive Value Linking and Evidence Reasoning}},
author = {Nan, Yafeng and Sun, Haifeng and Zhuang, Zirui and Qi, Qi and Chu, Guojun and Liao, Jianxin and Pei, Dan and Wang, Jingyu},
series = {{SIGMOD} '26},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3786640},
url = {https://dl.acm.org/doi/10.1145/3786640},
year = {2026}
}
Incoming Citations (Sorted by Pagerank)
Showing 0 of 0 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 279 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00022468369 |
| 756 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.0001431656 |
| 2,395 | OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale | 2025 | VLDB | 8.6355093e-05 |
| 2,710 | OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment | 2025 | SIGMOD | 8.2206448e-05 |
| 2,852 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 8.0455088e-05 |
| 5,323 | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference | 2025 | SIGMOD | 6.2655413e-05 |
| 6,267 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD | 5.9348282e-05 |
| 8,140 | Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study | 2024 | SIGMOD | 5.4802202e-05 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 6,545 | DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models | 2024 | SIGMOD |
| 2 | 10,211 | Comparison and Analysis of Value Linking in Text-to-SQL Systems [Experiments & Analysis] | 2026 | SIGMOD |
| 3 | 5,174 | An In-Depth Benchmarking of Text-to-SQL Systems | 2021 | SIGMOD |
| 4 | 6,267 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD |
| 5 | 279 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB |
| 6 | 10,217 | DeepEye-SQL: A Software-Engineering-Inspired Text-to-SQL Framework | 2026 | SIGMOD |
| 7 | 10,940 | Evoschema: Towards Text-To-Sql Robustness Against Schema Evolution | 2025 | VLDB |
| 8 | 10,732 | RTS+: Reliable Text to SQL | 2025 | SIGMOD |
| 9 | 10,572 | Relational Deep Dive: Error-Aware Queries Over Unstructured Data | 2026 | VLDB |
| 10 | 6,936 | Reliable Text-to-SQL with Adaptive Abstention | 2025 | SIGMOD |