Magneto: Combining Small and Large Language Models for Schema Matching
Summary: Magneto uses a two-phase retrieval+reranking pipeline that leverages cheap small LMs to generate candidates and powerful LLMs to rerank, trading minimal compute for high matching accuracy. Novel contributions: LLM-synthesized self-supervised SLM fine-tuning, effective reranking prompts, and a challenging biomedical benchmark. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yurong Liu (New York University)
- 2. Eduardo H. M. Pena (Federal University of Technology Paraná; New York University)
- 3. Aécio Santos (New York University)
- 4. Eden Wu (New York University)
- 5. Juliana Freire (New York University)
BibTeX Citation
@article{liu_vldb25,
title = {{Magneto: Combining Small and Large Language Models for Schema Matching}},
author = {Liu, Yurong and Pena, Eduardo H. M. and Santos, Aécio and Wu, Eden and Freire, Juliana},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {8},
pages = {2681--2694},
doi = {10.14778/3742728.3742757},
url = {https://doi.org/10.14778/3742728.3742757},
year = {2025}
}Incoming Citations (Sorted by Pagerank)
Showing 7 of 7 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6,371 | QUEST: Query Optimization in Unstructured Document Analysis | 2025 | VLDB | 5.8962187e-05 |
| 8,906 | Unveiling Challenges for LLMs in Enterprise Data Engineering | 2026 | VLDB | 5.3483178e-05 |
| 9,972 | Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding | 2025 | VLDB | 5.1845938e-05 |
| 10,231 | CONE: Embeddings for Complex Numerical Data Preserving Unit and Variable Semantics | 2026 | SIGMOD | 5.093636e-05 |
| 10,287 | Shape-Agnostic Table Overlap Discovery: A Maximum Common Subhypergraph Approach | 2026 | SIGMOD | 5.093636e-05 |
| 10,505 | The Case For Language Model Approximated LIKE Predicate | 2026 | SIGMOD | 5.093636e-05 |
| 10,987 | OmniMatch: Joinability Discovery in Data Products | 2025 | VLDB | 5.093636e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 20 of 20 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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