DBScholar

Back to papers

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
6895
Venue
SIGMOD
Year
2024
Pagerank
5.8454882e-05
Overall Rank
6,545 | 55.10%
DOI
10.1145/3639279

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{nobari_sigmod24,
        title = {{DTT: An Example-Driven Tabular Transformer for Joinability by Leveraging Large Language Models}},
        author = {Nobari, Arash Dargahi and Rafiei, Davood},
        series = {{SIGMOD} '24},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3639279},
        url = {https://dl.acm.org/doi/10.1145/3639279},
        year = {2024}
}

Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Previous Page 1 / 1 Next

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.

Previous Page 1 / 1 Next

Semantically Similar Papers