CHORUS: Foundation Models for Unified Data Discovery and Exploration
Summary: CHORUS unifies table-class detection, column-type annotation, and join-column prediction with foundation models, outperforming task-specific methods and often experts. It studies cross-model generalization and nondeterminism, positioning LLMs as a common substrate for data discovery. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Moe Kayali (University of Washington)
- 2. Anton Lykov (University of Washington)
- 3. Ilias Fountalis (RelationalAI)
- 4. Nikolaos Vasiloglou (RelationalAI)
- 5. Dan Olteanu (University of Zurich)
- 6. Dan Suciu (University of Washington)
BibTeX Citation
@article{kayali_vldb24,
title = {{CHORUS: Foundation Models for Unified Data Discovery and Exploration}},
author = {Kayali, Moe and Lykov, Anton and Fountalis, Ilias and Vasiloglou, Nikolaos and Olteanu, Dan and Suciu, Dan},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {8},
pages = {2104--2114},
doi = {10.14778/3659437.3659461},
url = {https://doi.org/10.14778/3659437.3659461},
year = {2024}
}Incoming Citations (Sorted by Pagerank)
Showing 22 of 22 citing papers.
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 18 of 18 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 11,413 | TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery | 2025 | VLDB |
| 2 | 5,687 | DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models | 2024 | SIGMOD |
| 3 | 11,825 | Data Management Opportunities for Foundation Models | 2022 | CIDR |
| 4 | 8,680 | Unstructured Data Analysis Using LLMs: A Comprehensive Benchmark | 2026 | VLDB |
| 5 | 11,529 | Unstructured Data Fusion for Schema and Data Extraction | 2024 | SIGMOD |
| 6 | 5,357 | Can Large Language Models Predict Data Correlations from Column Names? | 2023 | VLDB |
| 7 | 13,612 | From Big Time Series Forecasting to Foundation Models for Structured Data | 2026 | VLDB |
| 8 | 10,772 | Human-Centered Exploration of Table Unionability | 2026 | VLDB |
| 9 | 7,385 | Towards Foundation Database Models | 2025 | CIDR |
| 10 | 329 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB |