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ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models

Summary: ArcheType uses LLMs for fully zero-shot column type annotation via context sampling, prompt serialization, and label remapping. It establishes new zero-shot SOTA, ships three domain benchmarks, and when combined with classical CTA beats fine-tuned DoDuo. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13646
Venue
VLDB
Year
2024
Pagerank
6.6492389e-05
Overall Rank
4,515 | 69.03%
DOI
10.14778/3665844.3665857

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{feuer_vldb24,
        title = {{ArcheType: A Novel Framework for Open-Source Column Type Annotation using Large Language Models}},
        author = {Feuer, Benjamin and Liu, Yurong and Hegde, Chinmay and Freire, Juliana},
        journal = {PVLDB},
        series = {{VLDB} '24},
        volume = {17},
        number = {9},
        pages = {2279--2292},
        doi = {10.14778/3665844.3665857},
        url = {https://doi.org/10.14778/3665844.3665857},
        year = {2024}
}

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