Database Paper Browser

Back to papers

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
13108
Venue
VLDB
Year
2023
Pagerank
4.1945683e-05
Overall Rank
11,245 | 21.78%
DOI
10.14778/3603581.3603600

Incoming Non-self Citations Over Time

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

Authors

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
8,683 FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language 2024 VLDB 4.4686885e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Previous Page 1 / 1 Next

Semantically Similar Papers