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DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models
Summary: DTT: an example-driven tabular transformer for joinability across heterogeneous formats. Few-shot mappings learned by fine-tuned LLMs yield accurate joins, missing-values, and error detection; outperform traditional approaches and rival GPT-3.
(summarized by gpt-5-nano on Feb 09 2026)
- Paper ID
- 6834
- Venue
- SIGMOD
- Year
- 2024
- Pagerank
- 4.9186164e-05
- Overall Rank
- 6,798 | 52.76%
- DOI
-
10.1145/3639279
Incoming Non-self Citations Over Time
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
Outgoing Citations (Sorted by Pagerank)
Showing 14 of 14 cited papers.
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 |
| 514 |
TURL: Table Understanding through Representation Learning |
2021 |
VLDB |
0.00021280726 |
| 1,266 |
Foofah: Transforming Data By Example |
2017 |
SIGMOD |
0.00012921038 |
| 1,469 |
BlinkFill: Semi-supervised Programming By Example for Syntactic String Transformations |
2016 |
VLDB |
0.00011831156 |
| 2,025 |
From Natural Language Processing to Neural Databases |
2021 |
VLDB |
9.7477788e-05 |
| 2,348 |
RPT: Relational Pre-trained Transformer Is Almost All You Need towards Democratizing Data Preparation |
2021 |
VLDB |
8.9903659e-05 |
| 3,483 |
Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transformations |
2018 |
VLDB |
7.0493668e-05 |
| 3,738 |
Auto-Join: Joining Tables by Leveraging Transformations |
2017 |
VLDB |
6.8006812e-05 |
| 4,849 |
SEMA-JOIN: Joining Semantically-Related Tables Using Big Table Corpora |
2015 |
VLDB |
5.872093e-05 |
| 5,096 |
Auto-Transform: Learning-to-Transform by Patterns |
2020 |
VLDB |
5.6960764e-05 |
| 5,388 |
Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples |
2021 |
SIGMOD |
5.5342724e-05 |
| 5,457 |
Transformers for Tabular Data Representation: A Tutorial on Models and Applications |
2022 |
VLDB |
5.4960654e-05 |
| 8,044 |
Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel |
2018 |
SIGMOD |
4.5950532e-05 |
| 8,497 |
Synthesizing Mapping Relationships Using Table Corpus |
2017 |
SIGMOD |
4.49328e-05 |
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Generation of Training Examples for Tabular Natural Language Inference |
2023 |
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| 3,738 |
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Annotating Columns with Pre-trained Language Models |
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CIDR |
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| 1,914 |
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VLDB |
5.4960654e-05 |
| 2,585 |
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks |
2024 |
SIGMOD |
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| 9,405 |
TabulaX: Leveraging Large Language Models for Multi-Class Table Transformations |
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VLDB |
4.3399748e-05 |
| 3,326 |
DeepJoin: Joinable Table Discovery with Pre-trained Language Models |
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VLDB |
7.2148323e-05 |