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PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
Summary: Leverages semantic schema via pre-trained language models to estimate the number of distinct values (NDV) with reduced data access. PLM4NDV fuses target-column and table semantics to lower access costs, can operate with no data access, and outperforms baselines on large real-world datasets.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 7256
- Venue
- SIGMOD
- Year
- 2025
- Pagerank
- 4.1905499e-05
- Overall Rank
- 10,507 | 26.98%
- DOI
-
10.1145/3725336
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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 26 of 26 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 1 |
Access Path Selection in a Relational Database Management System |
1979 |
SIGMOD |
0.0040465394 |
| 60 |
Sampling-Based Estimation of the Number of Distinct Values of an Attribute |
1995 |
VLDB |
0.00064450997 |
| 219 |
Deep Entity Matching with Pre-Trained Language Models |
2021 |
VLDB |
0.00033354456 |
| 366 |
Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation |
2024 |
VLDB |
0.00025580097 |
| 380 |
Towards Estimation Error Guarantees for Distinct Values |
2000 |
PODS |
0.00024943236 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 531 |
Random Sampling for Histogram Construction: How much is enough? |
1998 |
SIGMOD |
0.0002079072 |
| 627 |
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors |
2009 |
VLDB |
0.00018959896 |
| 737 |
On Synopses for Distinct-Value Estimation Under Multiset Operations |
2007 |
SIGMOD |
0.00017377393 |
| 1,683 |
Cardinality Estimation: An Experimental Survey |
2018 |
VLDB |
0.0001091276 |
| 1,790 |
Effective Use of Block-Level Sampling in Statistics Estimation |
2004 |
SIGMOD |
0.00010529479 |
| 1,953 |
D-Bot: Database Diagnosis System using Large Language Models |
2024 |
VLDB |
9.9701097e-05 |
| 2,513 |
Annotating Columns with Pre-trained Language Models |
2022 |
SIGMOD |
8.6155767e-05 |
| 2,948 |
Few-shot Text-to-SQL Translation using Structure and Content Prompt Learning |
2023 |
SIGMOD |
7.8301799e-05 |
| 3,520 |
GitTables: A Large-Scale Corpus of Relational Tables |
2023 |
SIGMOD |
7.0136102e-05 |
| 5,001 |
GenRewrite: Query Rewriting via Large Language Models |
2026 |
SIGMOD |
5.7634197e-05 |
| 5,343 |
Learned Index Benefits: Machine Learning Based Index Performance Estimation |
2022 |
VLDB |
5.5582234e-05 |
| 5,405 |
ALECE: An Attention-based Learned Cardinality Estimator for SPJ Queries on Dynamic Workloads |
2024 |
VLDB |
5.5243727e-05 |
| 7,332 |
Refactoring Index Tuning Process with Benefit Estimation |
2024 |
VLDB |
4.7553758e-05 |
| 7,611 |
Learning to be a Statistician: Learned Estimator for Number of Distinct Values |
2022 |
VLDB |
4.6920008e-05 |
| 7,708 |
UltraLogLog: A Practical and More Space-Efficient Alternative to HyperLogLog for Approximate Distinct Counting |
2024 |
VLDB |
4.6675856e-05 |
| 8,370 |
LAQy: Efficient and Reusable Query Approximations via Lazy Sampling |
2023 |
SIGMOD |
4.5287754e-05 |
| 8,679 |
FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language |
2024 |
VLDB |
4.4644049e-05 |
| 8,834 |
ByteCard: Enhancing ByteDance’s Data Warehouse with Learned Cardinality Estimation |
2024 |
SIGMOD |
4.4351469e-05 |
| 8,835 |
Learning-based Property Estimation with Polynomials |
2024 |
SIGMOD |
4.4351469e-05 |
| 10,543 |
AdaNDV: Adaptive Number of Distinct Value Estimation via Learning to Select and Fuse Estimators |
2025 |
VLDB |
4.1905499e-05 |
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