DataVinci: Learning Syntactic and Semantic String Repairs
Summary: DataVinci is a fully unsupervised string error detector and repairer that learns column-wide regex patterns to flag deviations. It handles mixed syntactic and semantic substrings with an LLM-based abstraction and uses data-program traces to derive repairs. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mukul Singh
- 2. José Cambronero
- 3. Sumit Gulwani
- 4. Vu Le
- 5. Carina Negreanu
- 6. Arjun Radhakrishna
- 7. Gust Verbruggen
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,140 | Generalizable Data Cleaning of Tabular Data in Latent Space | 2024 | VLDB | 4.1905499e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 12 of 12 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 192 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00035692958 |
| 7,868 | Learning Over Dirty Data Without Cleaning | 2020 | SIGMOD | 4.6276013e-05 |
| 1,160 | Towards Certain Fixes with Editing Rules and Master Data | 2010 | VLDB | 0.0001358129 |
| 2,161 | Uni-Detect: A Unified Approach to Automated Error Detection in Tables | 2019 | SIGMOD | 9.4029915e-05 |
| 10,816 | DemandClean: A Multi-Objective Learning Framework for Balancing Model Tolerance to Data Authenticity and Diversity | 2025 | VLDB | 4.1905499e-05 |
| 3,397 | Automatic Data Repair: Are We Ready to Deploy? | 2024 | VLDB | 7.1386386e-05 |
| 3,198 | Towards Dependable Data Repairing with Fixing Rules | 2014 | SIGMOD | 7.4029546e-05 |
| 2,507 | Auto-Detect: Data-Driven Error Detection in Tables | 2018 | SIGMOD | 8.6254741e-05 |
| 3,233 | Learning Semantic String Transformations from Examples | 2012 | VLDB | 7.331883e-05 |
| 10,521 | Auto-Test: Learning Semantic-Domain Constraints for Unsupervised Error Detection in Tables | 2025 | SIGMOD | 4.1905499e-05 |