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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
6833
Venue
SIGMOD
Year
2024
Pagerank
4.9231471e-05
Overall Rank
6,800 | 52.70%
DOI
10.1145/3639279

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