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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
13486
Venue
VLDB
Year
2023
Pagerank
6.2515841e-05
Overall Rank
5,354 | 63.27%
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.
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Year
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Pagerank
1
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1979
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0.0024089429
18
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2016
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0.00059284255
154
Neo: A Learned Query Optimizer
2019
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0.00028726181
159
CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies
2004
SIGMOD
0.00028129426
420
Can Foundation Models Wrangle Your Data?
2023
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0.00018789852
459
ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores
2016
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0.00018101318
555
NaLIR: An Interactive Natural Language Interface for Querying Relational Databases
2014
SIGMOD
0.00016568053
713
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes
2024
VLDB
0.00014672521
1,071
Lightweight Graphical Models for Selectivity Estimation Without Independence Assumptions
2011
VLDB
0.00012322342
1,170
QuickSel: Quick Selectivity Learning with Mixture Models
2020
SIGMOD
0.00011827259
1,337
DB-BERT: A Database Tuning Tool that "Reads the Manual"
2022
SIGMOD
0.00011117488
1,374
Data Profiling with Metanome
2015
VLDB
0.00010986078
1,648
BHUNT: Automatic Discovery of Fuzzy Algebraic Constraints in Relational Data
2003
VLDB
0.00010120668
1,712
SkinnerDB: Regret-Bounded Query Evaluation via Reinforcement Learning
2019
SIGMOD
9.9492299e-05
2,019
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation
2021
VLDB
9.2983994e-05
2,175
From Natural Language Processing to Neural Databases
2021
VLDB
9.0215773e-05
2,242
CHORUS: Foundation Models for Unified Data Discovery and Exploration
2024
VLDB
8.8823802e-05
2,521
CodexDB: Synthesizing Code for Query Processing from Natural Language Instructions using GPT-3 Codex
2022
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8.4729505e-05
3,309
Conditional Selectivity for Statistics on Query Expressions
2004
SIGMOD
7.5368417e-05
3,926
UDO: Universal Database Optimization using Reinforcement Learning
2021
VLDB
7.0128068e-05
4,386
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2015
VLDB
6.7309577e-05
4,449
From BERT to GPT-3 Codex: Harnessing the Potential of Very Large Language Models for Data Management
2022
VLDB
6.697553e-05
4,963
Scrutinizer: Fact Checking Statistical Claims
2020
VLDB
6.4260475e-05
5,620
DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python
2021
SIGMOD
6.1482864e-05
7,038
Towards NLP-Enhanced Data Profiling Tools
2022
CIDR
5.7204576e-05
8,127
The Case for NLP-Enhanced Database Tuning: Towards Tuning Tools that “Read the Manual”
2021
VLDB
5.4826853e-05
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