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Cornet: Learning Table Formatting Rules By Example

Summary: Cornet learns spreadsheet conditional-formatting rules from example cells using symbolic rule enumeration ranked by a neural model, introducing inductive synthesis for presentation logic. On 1.8M worksheets (≈450K rules) it outperforms baselines, often yields shorter/hidden rules, and generalizes to filtering and multi-column cases. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13296
Venue
VLDB
Year
2023
Pagerank
5.093636e-05
Overall Rank
11,445 | 21.48%
DOI
10.14778/3603581.3603600

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

Authors

BibTeX Citation

@article{singh_vldb23,
        title = {{Cornet: Learning Table Formatting Rules By Example}},
        author = {Singh, Mukul and Sánchez, José Cambronero and Gulwani, Sumit and Le, Vu and Negreanu, Carina and Raza, Mohammad and Verbruggen, Gust},
        journal = {PVLDB},
        series = {{VLDB} '23},
        volume = {16},
        number = {10},
        pages = {2632--2644},
        doi = {10.14778/3603581.3603600},
        url = {https://doi.org/10.14778/3603581.3603600},
        year = {2023}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
8,692 FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language 2024 VLDB 5.3838716e-05
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Outgoing Citations (Sorted by Pagerank)

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