Human-Centered Exploration of Table Unionability
Summary: Introduces TUNE, a human-centered benchmark capturing expert disagreement, confidence, latency, traces, and explanations for table unionability. Hybrid models combining behavioral and TUS signals reach 84% accuracy, exposing limits of binary labels and standalone TUS/LLM judgments. (summarized by gpt-5.6-luna on Aug 17 2026)
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Authors
- 1. Nina Klimenkova (Worcester Polytechnic Institute)
- 2. Sreeram Marimuthu (Worcester Polytechnic Institute)
- 3. Roee Shraga (Worcester Polytechnic Institute)
BibTeX Citation
@article{klimenkova_vldb26,
title = {{Human-Centered Exploration of Table Unionability}},
author = {Klimenkova, Nina and Marimuthu, Sreeram and Shraga, Roee},
journal = {PVLDB},
series = {{VLDB} '26},
volume = {19},
number = {9},
pages = {2099--2112},
doi = {10.14778/3819518.3819537},
url = {https://doi.org/10.14778/3819518.3819537},
year = {2026}
}Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
Showing 8 of 8 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 765 | Table Union Search on Open Data | 2018 | VLDB | 0.00014125424 |
| 1,852 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 9.5004635e-05 |
| 1,988 | SANTOS: Relationship-based Semantic Table Union Search | 2023 | SIGMOD | 9.2482448e-05 |
| 4,218 | Magneto: Combining Small and Large Language Models for Schema Matching | 2025 | VLDB | 6.7270169e-05 |
| 4,409 | LakeBench: A Benchmark for Discovering Joinable and Unionable Tables in Data Lakes | 2024 | VLDB | 6.6120807e-05 |
| 5,701 | Data Discovery in Data Lakes: Operations, Indexes, Systems | 2025 | VLDB | 6.0315322e-05 |
| 6,397 | Human-in-the-loop Data Integration | 2017 | VLDB | 5.7989499e-05 |
| 6,883 | ADnEV: Cross-Domain Schema Matching using Deep Similarity Matrix Adjustment and Evaluation | 2020 | VLDB | 5.6565418e-05 |
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