TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery
Summary: TableCopilot introduces natural-language conditional table discovery (nlcTD), combining a user’s textual condition with a query table for interactive, personalized search over large table pools. Crofuma cross-fuses unimodal and cross-modal matching scores, improving NDCG@5 by at least 12% over single-input methods. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. Lingxi Cui (Zhejiang University)
- 2. Guanyu Jiang (Zhejiang University)
- 3. Huan Li (Zhejiang University)
- 4. Ke Chen (Zhejiang University)
- 5. Lidan Shou (Zhejiang University)
- 6. Gang Chen (Zhejiang University)
BibTeX Citation
@article{cui_vldb25,
title = {{TableCopilot: A Table Assistant Empowered by Natural Language Conditional Table Discovery}},
author = {Cui, Lingxi and Jiang, Guanyu and Li, Huan and Chen, Ke and Shou, Lidan and Chen, Gang},
journal = {PVLDB},
series = {{VLDB} '25},
volume = {18},
number = {12},
pages = {5399--5402},
doi = {10.14778/3750601.3750681},
url = {https://doi.org/10.14778/3750601.3750681},
year = {2025}
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Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 779 | JOSIE: Overlap Set Similarity Search for Finding Joinable Tables in Data Lakes | 2019 | SIGMOD | 0.00014092047 |
| 2,099 | Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks | 2024 | SIGMOD | 9.1682353e-05 |
| 2,192 | Semantics-aware Dataset Discovery from Data Lakes with Contextualized Column-based Representation Learning | 2023 | VLDB | 8.9767241e-05 |
| 2,315 | SANTOS: Relationship-based Semantic Table Union Search | 2023 | SIGMOD | 8.7605101e-05 |
| 3,073 | DeepJoin: Joinable Table Discovery with Pre-trained Language Models | 2023 | VLDB | 7.785842e-05 |
| 7,613 | LakeCompass: An End-to-End System for Data Maintenance, Search and Analysis in Data Lakes | 2024 | VLDB | 5.5817761e-05 |
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