Symphony: Towards Natural Language Query Answering over Multi-modal Data Lakes
Summary: Symphony enables NL queries over multi-modal data lakes (tables + text) without upfront integration, using cross-modality representation learning to locate relevant sources. It decomposes NL questions into per-source subqueries, executes them and fuses results; preliminarily validated on Wikipedia tables/text. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
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Incoming Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 219 | Deep Entity Matching with Pre-Trained Language Models | 2021 | VLDB | 0.00033354456 |
| 516 | Can Foundation Models Wrangle Your Data? | 2023 | VLDB | 0.00021194444 |
| 739 | Delta Lake: High-Performance ACID Table Storage over Cloud Object Stores | 2020 | VLDB | 0.00017365933 |
| 973 | Natural language to SQL: Where are we today? | 2020 | VLDB | 0.0001488435 |
| 1,274 | The Data Civilizer System | 2017 | CIDR | 0.00012869297 |
| 2,348 | RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation | 2021 | VLDB | 8.9903659e-05 |
| 7,992 | Data Civilizer 2.0: A Holistic Framework for Data Preparation and Analytics | 2019 | VLDB | 4.6082565e-05 |
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