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)
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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)
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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 |
|---|---|---|---|---|
| 174 | Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation | 2024 | VLDB | 0.00026790979 |
| 533 | CodeS: Towards Building Open-source Language Models for Text-to-SQL | 2024 | SIGMOD | 0.00016826571 |
| 1,777 | OmniSQL: Synthesizing High-quality Text-to-SQL Data at Scale | 2025 | VLDB | 9.664552e-05 |
| 2,025 | OpenSearch-SQL: Enhancing Text-to-SQL with Dynamic Few-shot and Consistency Alignment | 2025 | SIGMOD | 9.163622e-05 |
| 2,348 | The Dawn of Natural Language to SQL: Are We Fully Ready? | 2024 | VLDB | 8.6009821e-05 |
| 4,924 | SNAILS: Schema Naming Assessments for Improved LLM-Based SQL Inference | 2025 | SIGMOD | 6.3512934e-05 |
| 5,544 | Automated Validating and Fixing of Text-to-SQL Translation with Execution Consistency | 2025 | SIGMOD | 6.0887243e-05 |
| 8,266 | Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study | 2024 | SIGMOD | 5.3650555e-05 |
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