Back to papers
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
Summary: RPT: denoising tuple-to-tuple autoencoder; Transformer encoder-decoder unifies BERT and GPT. Pre-trained, it enables data cleaning, auto-completion, and normalization and annotation, plus few-shot and collaborative ER/IE.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 12316
- Venue
- VLDB
- Year
- 2021
- Pagerank
- 8.9903659e-05
- Overall Rank
- 2,348 | 83.69%
- DOI
-
10.14778/3457390.3457391
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 27 of 27 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,505 |
Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes |
2023 |
CIDR |
0.00011601232 |
| 1,631 |
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex |
2022 |
VLDB |
0.00011071662 |
| 2,513 |
Annotating Columns with Pre-trained Language Models |
2022 |
SIGMOD |
8.6155767e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 4,916 |
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management |
2022 |
VLDB |
5.827729e-05 |
| 5,457 |
Transformers for Tabular Data Representation: A Tutorial on Models and Applications |
2022 |
VLDB |
5.4960654e-05 |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
| 6,202 |
Chat2Data: An Interactive Data Analysis System with RAG, Vector Databases and LLMs |
2024 |
VLDB |
5.1554849e-05 |
| 6,279 |
Self-supervised and Interpretable Data Cleaning with Sequence Generative Adversarial Networks |
2023 |
VLDB |
5.1241232e-05 |
| 6,552 |
How do Categorical Duplicates Affect ML? A New Benchmark and Empirical Analyses |
2024 |
VLDB |
5.0109216e-05 |
| 6,570 |
Domain Adaptation for Deep Entity Resolution |
2022 |
SIGMOD |
5.0017341e-05 |
| 6,712 |
Demonstrating GPT-DB: Generating Query-Specific and Customizable Code for SQL Processing with GPT-4 |
2023 |
VLDB |
4.9474017e-05 |
| 6,798 |
DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models |
2024 |
SIGMOD |
4.9186164e-05 |
| 7,016 |
LLM for Data Management |
2024 |
VLDB |
4.8561622e-05 |
| 7,676 |
E2ETune: End-to-End Knob Tuning via Fine-tuned Generative Language Model |
2025 |
VLDB |
4.6770108e-05 |
| 8,054 |
Generating Succinct Descriptions of Database Schemata for Cost-Efficient Prompting of Large Language Models |
2024 |
VLDB |
4.5909042e-05 |
| 8,207 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
CIDR |
4.5537604e-05 |
| 8,522 |
Controllable Tabular Data Synthesis Using Diffusion Models |
2024 |
SIGMOD |
4.4893996e-05 |
| 8,739 |
CtxPipe: Context-aware Data Preparation Pipeline Construction for Machine Learning |
2024 |
SIGMOD |
4.4520434e-05 |
| 9,354 |
GIDCL: A Graph-Enhanced Interpretable Data Cleaning Framework with Large Language Models |
2024 |
SIGMOD |
4.3484715e-05 |
| 9,405 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
2025 |
VLDB |
4.3399748e-05 |
| 9,478 |
Adda: Towards Efficient in-Database Feature Generation via LLM-based Agents |
2025 |
SIGMOD |
4.3300131e-05 |
| 9,481 |
Data Imputation with Limited Data Redundancy Using Data Lakes |
2025 |
VLDB |
4.3300131e-05 |
| 9,776 |
Data Augmentation for ML-driven Data Preparation and Integration |
2021 |
VLDB |
4.2815042e-05 |
| 10,618 |
Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation |
2025 |
VLDB |
4.1905499e-05 |
| 11,349 |
OpenTFV: An Open Domain Table-Based Fact Verification System |
2022 |
SIGMOD |
4.1905499e-05 |
Outgoing Citations (Sorted by Pagerank)
Showing 24 of 24 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 192 |
HoloClean: Holistic Data Repairs with Probabilistic Inference |
2017 |
VLDB |
0.00035692958 |
| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 268 |
A Cost-Based Model and Effective Heuristic for Repairing Constraints by Value Modification |
2005 |
SIGMOD |
0.00029739054 |
| 293 |
Deep Learning for Entity Matching: A Design Space Exploration |
2018 |
SIGMOD |
0.00028661817 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 556 |
Discovering Denial Constraints |
2013 |
VLDB |
0.00020214701 |
| 705 |
Magellan: Toward Building Entity Matching Management Systems |
2016 |
VLDB |
0.00017779048 |
| 740 |
Distributed Representations of Tuples for Entity Resolution |
2018 |
VLDB |
0.00017358024 |
| 830 |
Guided Data Repair |
2011 |
VLDB |
0.00016125759 |
| 879 |
Don’t be SCAREd: Use SCalable Automatic REpairing with Maximal Likelihood and Bounded Changes |
2013 |
SIGMOD |
0.00015649604 |
| 1,160 |
Towards Certain Fixes with Editing Rules and Master Data |
2010 |
VLDB |
0.0001358129 |
| 1,274 |
The Data Civilizer System |
2017 |
CIDR |
0.00012869297 |
| 1,403 |
Detecting Data Errors: Where are we and what needs to be done? |
2016 |
VLDB |
0.00012180046 |
| 1,544 |
KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing |
2015 |
SIGMOD |
0.00011438274 |
| 1,895 |
Baran: Effective Error Correction via a Unified Context Representation and Transfer Learning |
2020 |
VLDB |
0.00010174634 |
| 1,914 |
Creating Embeddings of Heterogeneous Relational Datasets for Data Integration Tasks |
2020 |
SIGMOD |
0.00010111859 |
| 2,214 |
Data Integration: After the Teenage Years |
2017 |
PODS |
9.2796408e-05 |
| 2,417 |
Combining Quantitative and Logical Data Cleaning |
2016 |
VLDB |
8.8502556e-05 |
| 2,968 |
Raha: A Configuration-Free Error Detection System |
2019 |
SIGMOD |
7.7964476e-05 |
| 3,057 |
ZeroER: Entity Resolution using Zero Labeled Examples |
2020 |
SIGMOD |
7.6458287e-05 |
| 3,198 |
Towards Dependable Data Repairing with Fixing Rules |
2014 |
SIGMOD |
7.4029546e-05 |
| 5,203 |
Pattern Functional Dependencies for Data Cleaning |
2020 |
VLDB |
5.628087e-05 |
| 6,527 |
Automatic Rule Refinement for Information Extraction |
2010 |
VLDB |
5.0200332e-05 |
| 8,510 |
Understanding Workers, Developing Effective Tasks, and Enhancing Marketplace Dynamics: A Study of a Large Crowdsourcing Marketplace |
2017 |
VLDB |
4.4904732e-05 |
Semantically Similar Papers