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CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines
Summary: CatDB leverages data-catalog metadata to produce dataset-specific instructions that steer LLMs to synthesize end-to-end data-centric ML pipelines (cleaning, augmentation, feature engineering, tuning). Built-in validation and error handling reduce hallucinations and yield AutoML-comparable accuracy with much faster scaling.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13908
- Venue
- VLDB
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,636 | 26.08%
- DOI
-
10.14778/3742728.3742754
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Incoming Citations (Sorted by Pagerank)
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| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
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Cited Paper |
Year |
Venue |
Pagerank |
| 169 |
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2009 |
VLDB |
0.00038967371 |
| 366 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.00025580097 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
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0.00021194444 |
| 609 |
Goods: Organizing Google's Datasets |
2016 |
SIGMOD |
0.00019223217 |
| 788 |
ActiveClean: Interactive Data Cleaning For Statistical Modeling |
2016 |
VLDB |
0.00016618698 |
| 917 |
Democratizing Data Science through Interactive Curation of ML Pipelines |
2019 |
SIGMOD |
0.00015324193 |
| 1,481 |
Automating Large-Scale Data Quality Verification |
2018 |
VLDB |
0.00011715754 |
| 2,122 |
SystemDS: A Declarative Machine Learning System for the End-to-End Data Science Lifecycle |
2020 |
CIDR |
9.4905306e-05 |
| 2,308 |
Nearest Neighbor Classifiers over Incomplete Information: From Certain Answers to Certain Predictions |
2021 |
VLDB |
9.0634287e-05 |
| 3,001 |
SANTOS: Relationship-based Semantic Table Union Search |
2023 |
SIGMOD |
7.739698e-05 |
| 3,473 |
Data Profiling – A Tutorial |
2017 |
SIGMOD |
7.0623537e-05 |
| 3,827 |
Correlation Sketches for Approximate Join-Correlation Queries |
2021 |
SIGMOD |
6.7195959e-05 |
| 4,761 |
Automated Feature Engineering for Algorithmic Fairness |
2021 |
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5.9341687e-05 |
| 4,779 |
LIMA: Fine-grained Lineage Tracing and Reuse in Machine Learning Systems |
2021 |
SIGMOD |
5.9259373e-05 |
| 5,244 |
Towards Benchmarking Feature Type Inference for AutoML Platforms |
2021 |
SIGMOD |
5.6021738e-05 |
| 5,306 |
A Scalable AutoML Approach Based on Graph Neural Networks |
2022 |
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5.5725759e-05 |
| 6,552 |
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2024 |
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5.0109216e-05 |
| 8,096 |
Saga: A Scalable Framework for Optimizing Data Cleaning Pipelines for Machine Learning Applications |
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4.583522e-05 |
| 8,207 |
SMARTFEAT: Efficient Feature Construction through Feature-Level Foundation Model Interactions |
2024 |
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4.5537604e-05 |
| 9,354 |
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2024 |
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4.3484715e-05 |
| 9,610 |
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2020 |
VLDB |
4.3136057e-05 |
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