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Can Large Language Models Predict Data Correlations from Column Names?
Summary: Introduces a Kaggle-derived benchmark for predicting column correlations from names. Evaluates language models across correlation and accuracy metrics, identifying name length, word ratio, and column types as key factors.
(summarized by gpt-5.6-luna on Jul 24 2026)
Paper ID
hf07232afa1dd5cfb
Venue
VLDB
Year
2023
Pagerank
6.1619918e-05
Overall Rank
5,357 | 63.99%
DOI
10.14778/3625054.3625066
Incoming Non-self Citations Over Time
BibTeX Citation
Copy BibTeX
@article{trummer_vldb23,
title = {{Can Large Language Models Predict Data Correlations from Column Names?}},
author = {Trummer, Immanuel},
journal = {PVLDB},
series = {{VLDB} '23},
volume = {16},
number = {13},
pages = {4310--4323},
doi = {10.14778/3625054.3625066},
url = {https://doi.org/10.14778/3625054.3625066},
year = {2023}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
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Year
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Pagerank
1
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1979
SIGMOD
0.0023947656
15
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2016
VLDB
0.00061066921
145
Neo: A Learned Query Optimizer
2019
VLDB
0.0002908188
160
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
2004
SIGMOD
0.00027837289
329
Can Foundation Models Wrangle Your Data?
2023
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0.00020858443
439
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores
2016
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0.00018251249
501
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
2024
VLDB
0.00017267905
536
NaLIR: An Interactive Natural Language Interface for Querying Relational Databases
2014
SIGMOD
0.00016771934
1,060
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions
2011
VLDB
0.00012224575
1,156
QuickSel: Quick Selectivity Learning with Mixture Models
2020
SIGMOD
0.00011777105
1,250
DB-BERT: A Database Tuning Tool that "Reads the Manual"
2022
SIGMOD
0.00011339256
1,395
Data Profiling with Metanome
2015
VLDB
0.00010794808
1,603
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning
2019
SIGMOD
0.00010097649
1,662
BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data
2003
VLDB
9.9465656e-05
1,846
From Natural Language Processing to Neural Databases
2021
VLDB
9.513089e-05
1,932
CHORUS: Foundation Models for Unified Data Discovery and Exploration
2024
VLDB
9.34643e-05
1,975
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex
2022
VLDB
9.2807031e-05
1,991
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
2021
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9.2383849e-05
3,361
Conditional Selectivity for Statistics on Query Expressions
2004
SIGMOD
7.3760492e-05
3,645
UDO: Universal Database Optimization using Reinforcement Learning
2021
VLDB
7.1397796e-05
4,246
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2015
VLDB
6.7061689e-05
4,442
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management
2022
VLDB
6.5988336e-05
5,066
Scrutinizer: Fact Checking Statistical Claims
2020
VLDB
6.2899476e-05
5,640
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python
2021
SIGMOD
6.0548401e-05
7,062
Towards NLP-Enhanced Data Profiling Tools
2022
CIDR
5.6101715e-05
8,258
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual”
2021
VLDB
5.3671363e-05
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