RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes
Summary: RetClean explores LLM-assisted data cleaning across public world-knowledge, RAG over indexed enterprise data lakes, and privacy-preserving local models fine-tuned with few examples. Its GUI exposes model/accuracy/privacy trade-offs across these scenarios. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zan Ahmad Naeem (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 2. Mohammad Shahmeer Ahmad (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 3. Mohamed Eltabakh (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 4. Mourad Ouzzani (Hamad Bin Khalifa University; Qatar Computing Research Institute)
- 5. Nan Tang (Hong Kong University of Science and Technology)
BibTeX Citation
@article{naeem_vldb24,
title = {{RetClean: Retrieval-Based Data Cleaning Using LLMs and Data Lakes}},
author = {Naeem, Zan Ahmad and Ahmad, Mohammad Shahmeer and Eltabakh, Mohamed and Ouzzani, Mourad and Tang, Nan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4421--4424},
doi = {10.14778/3685800.3685890},
url = {https://doi.org/10.14778/3685800.3685890},
year = {2024}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,254 | In-depth Analysis of Graph-based RAG in a Unified Framework | 2025 | VLDB | 5.9405174e-05 |
| 8,829 | Cut Costs, Not Accuracy: LLM-Powered Data Processing with Guarantees | 2026 | SIGMOD | 5.3613784e-05 |
| 10,253 | HAMMER: An Automatic RAG Tuning System via Hierarchical Memory-Guided Monte Carlo Tree Search | 2026 | SIGMOD | 5.093636e-05 |
| 11,054 | Buckaroo: A Direct Manipulation Visual Data Wrangler | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 420 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00018789852 |
| 1,550 | Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes | 2023 | CIDR | 0.00010385904 |
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