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Chorus: Foundation Models for Unified Data Discovery and Exploration
Summary: Apply foundation models to unify data discovery/exploration, outperforming task-specific models and often human experts on table-class, column-type, and join-column tasks. Evaluate cross-model generalizability and nondeterminism, arguing for a foundation-model unification of data-management tasks.
(summarized by gpt-5-mini on Feb 09 2026)
- Paper ID
- 13443
- Venue
- VLDB
- Year
- 2024
- Pagerank
- 7.7358219e-05
- Overall Rank
- 3,003 | 79.14%
- DOI
-
10.14778/3659437.3659461
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 19 of 19 citing papers.
| Rank |
Citing Paper |
Year |
Venue |
Pagerank |
| 1,839 |
DocETL: Agentic Query Rewriting and Evaluation for Complex Document Processing |
2025 |
VLDB |
0.00010351287 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
8.4909917e-05 |
| 3,639 |
The Design of an LLM-powered Unstructured Analytics System |
2025 |
CIDR |
6.8886648e-05 |
| 5,098 |
ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models |
2024 |
VLDB |
5.6943033e-05 |
| 5,429 |
Logical and Physical Optimizations for SQL Query Execution over Large Language Models |
2025 |
SIGMOD |
5.511638e-05 |
| 5,506 |
Can Large Language Models Predict Data Correlations from Column Names? |
2023 |
VLDB |
5.4711611e-05 |
| 5,929 |
SchemaPile: A Large Collection of Relational Database Schemas |
2024 |
SIGMOD |
5.2635297e-05 |
| 6,071 |
Observatory: Characterizing Embeddings of Relational Tables |
2024 |
VLDB |
5.2231739e-05 |
| 7,027 |
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration |
2025 |
CIDR |
4.8524216e-05 |
| 7,045 |
Magneto: Combining Small and Large Language Models for Schema Matching |
2025 |
VLDB |
4.8474104e-05 |
| 8,732 |
Unveiling Challenges for LLMs in Enterprise Data Engineering |
2026 |
VLDB |
4.4520434e-05 |
| 9,516 |
Automating the Enterprise with Foundation Models |
2024 |
VLDB |
4.3294347e-05 |
| 10,142 |
AutoDDG: Automated Dataset Description Generation using Large Language Models |
2026 |
SIGMOD |
4.1905499e-05 |
| 10,475 |
A Cost-Effective LLM-based Approach to Identify Wildlife Trafficking in Online Marketplaces |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,512 |
Self-Enhancing Video Data Management System for Compositional Events with Large Language Models |
2025 |
SIGMOD |
4.1905499e-05 |
| 10,603 |
Optimized Batch Prompting for Cost-effective LLMs |
2025 |
VLDB |
4.1905499e-05 |
| 10,618 |
Weak-to-Strong Prompts with Lightweight-to-Powerful LLMs for High-Accuracy, Low-Cost, and Explainable Data Transformation |
2025 |
VLDB |
4.1905499e-05 |
| 10,759 |
Cents: A Flexible and Cost-Effective Framework for LLM-Based Table Understanding |
2025 |
VLDB |
4.1905499e-05 |
| 10,864 |
Exploring Exploratory Querying |
2025 |
VLDB |
4.1905499e-05 |
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.
| Rank |
Cited Paper |
Year |
Venue |
Pagerank |
| 31 |
Provenance Semirings |
2007 |
PODS |
0.00078516827 |
| 108 |
WebTables: Exploring the Power of Tables on the Web |
2008 |
VLDB |
0.00048345996 |
| 481 |
Mining Database Structure; Or, How to Build a Data Quality Browser |
2002 |
SIGMOD |
0.000221538 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 516 |
Can Foundation Models Wrangle Your Data? |
2023 |
VLDB |
0.00021194444 |
| 936 |
Data Lake Management: Challenges and Opportunities |
2019 |
VLDB |
0.00015197838 |
| 1,088 |
Language Models Enable Simple Systems for Generating Structured Views of Heterogeneous Data Lakes |
2024 |
VLDB |
0.00014158762 |
| 1,185 |
JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes |
2019 |
SIGMOD |
0.00013432692 |
| 1,742 |
Auctus: A Dataset Search Engine for Data Discovery and Augmentation |
2021 |
VLDB |
0.00010695388 |
| 2,513 |
Annotating Columns with Pre-trained Language Models |
2022 |
SIGMOD |
8.6155767e-05 |
| 2,895 |
Sato: Contextual Semantic Type Detection in Tables |
2020 |
VLDB |
7.9539265e-05 |
| 3,001 |
SANTOS: Relationship-based Semantic Table Union Search |
2023 |
SIGMOD |
7.739698e-05 |
| 3,254 |
Auto-Suggest: Learning-to-Recommend Data Preparation Steps Using Data Science Notebooks |
2020 |
SIGMOD |
7.3172324e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
2023 |
VLDB |
7.2148323e-05 |
| 3,520 |
GitTables: A Large-Scale Corpus of Relational Tables |
2023 |
SIGMOD |
7.0136102e-05 |
| 4,105 |
Extracting Databases from Dark Data with DeepDive |
2016 |
SIGMOD |
6.4409563e-05 |
| 5,495 |
Fast Foreign-Key Detection in Microsoft SQL Server PowerPivot for Excel |
2014 |
VLDB |
5.4770205e-05 |
| 6,891 |
Towards NLP-Enhanced Data Profiling Tools |
2022 |
CIDR |
4.8891398e-05 |
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