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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)

Paper ID
7657
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,444 | 28.35%
DOI
10.1145/3786640

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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}
}

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