Database Paper Browser

Back to papers

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
6887
Venue
SIGMOD
Year
2024
Pagerank
4.3480692e-05
Overall Rank
9,371 | 34.81%
DOI
10.1145/3654925

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
6,765 Automatic Database Configuration Debugging using Retrieval-Augmented Language Models 2025 SIGMOD 4.9325583e-05
7,931 In-depth Analysis of Graph-based RAG in a Unified Framework 2025 VLDB 4.613363e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 14 of 14 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