Lingua Manga: A Generic Large Language Model Centric System for Data Curation
Summary: Lingua Manga is a generic LLM-centric data curation system spanning diverse tasks, with automatic performance/label-efficiency optimization. Its distinctive low-code/no-code interface supports rapid development for users ranging from programmers to nontechnical practitioners. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zui Chen (Tsinghua University)
- 2. Lei Cao (Massachusetts Institute of Technology; University of Arizona)
- 3. Sam Madden (Massachusetts Institute of Technology)
BibTeX Citation
@article{chen_vldb23,
title = {{Lingua Manga: A Generic Large Language Model Centric System for Data Curation}},
author = {Chen, Zui and Cao, Lei and Madden, Sam},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {12},
pages = {4074--4077},
doi = {10.14778/3611540.3611624},
url = {https://doi.org/10.14778/3611540.3611624},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,423 | Large Language Models for Spatial Analysis Queries | 2025 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 5 of 5 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 92 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00034672523 |
| 104 | HoloClean: Holistic Data Repairs with Probabilistic Inference | 2017 | VLDB | 0.00033690989 |
| 134 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00030043481 |
| 329 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00020858443 |
| 514 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00017006745 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 3,250 | How Large Language Models Will Disrupt Data Management | 2023 | VLDB |
| 2 | 11,284 | CatDB: Data-catalog-guided, LLM-based Generation of Data-centric ML Pipelines | 2025 | VLDB |
| 3 | 5,357 | Can Large Language Models Predict Data Correlations from Column Names? | 2023 | VLDB |
| 4 | 11,379 | Towards Automated Cross-domain Exploratory Data Analysis through Large Language Models | 2025 | VLDB |
| 5 | 501 | Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes | 2024 | VLDB |
| 6 | 10,620 | AutoDDG: Automated Dataset Description Generation using Large Language Models | 2026 | SIGMOD |
| 7 | 4,780 | Data-Juicer: A One-Stop Data Processing System for Large Language Models | 2024 | SIGMOD |
| 8 | 8,680 | Unstructured Data Analysis Using LLMs: A Comprehensive Benchmark | 2026 | VLDB |
| 9 | 11,038 | Semantic Data Systems: From Data Management to Data Understanding | 2026 | VLDB |
| 10 | 5,149 | LLM for Data Management | 2024 | VLDB |