Cornet: Learning Spreadsheet Formatting Rules By Example
Summary: Cornet synthesizes spreadsheet conditional-formatting rules from only one or two user-formatted examples. It combines symbolic rule enumeration (clustering and iterative trees) with neural ranking, exposed as an Excel add-in. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Mukul Singh (Microsoft)
- 2. José Cambronero Sanchez (Microsoft)
- 3. Sumit Gulwani (Microsoft)
- 4. Vu Le (Microsoft)
- 5. Carina Negreanu (Microsoft)
- 6. Gust Verbruggen (Microsoft)
BibTeX Citation
@article{singh_vldb23,
title = {{Cornet: Learning Spreadsheet Formatting Rules By Example}},
author = {Singh, Mukul and Sanchez, José Cambronero and Gulwani, Sumit and Le, Vu and Negreanu, Carina and Verbruggen, Gust},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4058--4061},
doi = {10.14778/3611540.3611620},
url = {https://doi.org/10.14778/3611540.3611620},
year = {2023}
}
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 0 of 0 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,744 | Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks | 2020 | SIGMOD |
| 2 | 10,785 | Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables | 2025 | SIGMOD |
| 3 | 4,412 | Auto-Transform: Learning-to-Transform by Patterns | 2020 | VLDB |
| 4 | 10,021 | CORAL: Collaborative Automatic Labeling System based on Large Language Models | 2024 | VLDB |
| 5 | 8,945 | Generation of Training Examples for Tabular Natural Language Inference | 2023 | SIGMOD |
| 6 | 13,337 | Accelerating Tabular Inference: Training Data Generation with TENET | 2025 | VLDB |
| 7 | 3,547 | Learning Semantic String Transformations from Examples | 2012 | VLDB |
| 8 | 8,797 | Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations | 2024 | SIGMOD |
| 9 | 8,692 | FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language | 2024 | VLDB |
| 10 | 11,445 | Cornet: Learning Table Formatting Rules By Example | 2023 | VLDB |