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Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Summary: Auto-Formula recommends spreadsheet cell formulas by retrieving/adapting formulas from similar enterprise spreadsheets, exploiting the recurring structure and computation patterns across org-specific tables. Key idea: contrastive learning for table/spreadsheet representations to predict target formulas more accurately than prior approaches. (summarized by gpt-5.4-mini on May 24 2026)

Paper ID
6949
Venue
SIGMOD
Year
2024
Pagerank
5.3702298e-05
Overall Rank
8,797 | 39.65%
DOI
10.1145/3654925

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{chen_sigmod24,
        title = {{Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations}},
        author = {Chen, Sibei and He, Yeye and Cui, Weiwei and Fan, Ju and Ge, Song and Zhang, Haidong and Zhang, Dongmei and Chaudhuri, Surajit},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3654925},
        url = {https://dl.acm.org/doi/10.1145/3654925},
        year = {2024}
}

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