LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries
Summary: LPLM is a neural language model for LIKE-pattern cardinality estimation, with a novel pattern language and distribution for in-between wildcards. A data-generation method trains it; it outperforms prior work on Q-error with similar runtime/memory. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Mehmet Aytimur (University of Konstanz)
- 2. Silvan Reiner (University of Konstanz)
- 3. Leonard Wörteler (University of Konstanz)
- 4. Theodoros Chondrogiannis (University of Konstanz)
- 5. Michael Grossniklaus (University of Konstanz)
BibTeX Citation
@inproceedings{aytimur_sigmod24,
title = {{LPLM: A Neural Language Model for Cardinality Estimation of LIKE-Queries}},
author = {Aytimur, Mehmet and Reiner, Silvan and Wörteler, Leonard and Chondrogiannis, Theodoros and Grossniklaus, Michael},
series = {{SIGMOD} '24},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3639309},
url = {https://dl.acm.org/doi/10.1145/3639309},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 9 of 9 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 9,546 | Athena: An Effective Learning-based Framework for Query Optimizer Performance Improvement | 2025 | SIGMOD | 5.1604755e-05 |
| 9,730 | PAR2QO: Parametric Penalty-Aware Robust Query Optimization | 2025 | VLDB | 5.1349531e-05 |
| 10,027 | Cardinality Estimation of LIKE Predicate Queries using Deep Learning | 2025 | SIGMOD | 5.0925739e-05 |
| 10,057 | SPACE: Cardinality Estimation for Path Queries Using Cardinality-Aware Sequence-based Learning | 2025 | SIGMOD | 5.0875952e-05 |
| 10,322 | SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index | 2026 | SIGMOD | 5.0346745e-05 |
| 10,691 | The Case For Language Model Approximated LIKE Predicate | 2026 | SIGMOD | 4.9793485e-05 |
| 10,693 | Practical Parameterized Query Optimization via Efficient Plan Reuse and List-wise Ranking | 2026 | SIGMOD | 4.9793485e-05 |
| 11,257 | ACE: A Cardinality Estimator for Set-Valued Queries | 2025 | VLDB | 4.9793485e-05 |
| 11,453 | RankPQO: Learning-to-Rank for Parametric Query Optimization | 2025 | VLDB | 4.9793485e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 21 of 21 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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| 1 | 5,649 | Sample-Efficient Cardinality Estimation Using Geometric Deep Learning | 2024 | VLDB |
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| 4 | 10,322 | SSCard: Substring Cardinality Estimation using Suffix Tree-Guided Learned FM-Index | 2026 | SIGMOD |
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| 6 | 6,660 | Speeding Up End-to-end Query Execution via Learning-based Progressive Cardinality Estimation | 2023 | SIGMOD |
| 7 | 7,417 | Cardinality Estimation of Approximate Substring Queries using Deep Learning | 2022 | VLDB |
| 8 | 461 | An End-to-End Learning-based Cost Estimator | 2020 | VLDB |
| 9 | 10,691 | The Case For Language Model Approximated LIKE Predicate | 2026 | SIGMOD |
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