Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees
Summary: FDJ uses LLM-extracted features combined as conjunctive-normal-form filters to prune semantic-join pairs before expensive predicate evaluation. It handles feature dependencies to provide statistical quality guarantees, achieving up to 10× lower cost than embedding-based methods. (summarized by gpt-5.6-luna on Aug 28 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Sepanta Zeighami (University of California Berkeley)
- 2. Shreya Shankar (University of California Berkeley)
- 3. Aditya Parameswaran (University of California Berkeley)
BibTeX Citation
@article{zeighami_vldb26,
title = {{Featurized-Decomposition Join: Low-Cost Semantic Joins with Guarantees}},
author = {Zeighami, Sepanta and Shankar, Shreya and Parameswaran, Aditya},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {11},
pages = {3048--3061},
doi = {10.14778/3836663.3836672},
url = {https://doi.org/10.14778/3836663.3836672},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 10,418 | Evergreen: Efficient Claim Verification for Semantic Aggregates | 2027 | VLDB | 4.9605343e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 31 of 31 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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