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Can Foundation Models Wrangle Your Data?

Summary: Demonstrates that large foundation models, via prompting without task-specific fine-tuning, can generalize to five classical data cleaning and integration tasks and achieve state-of-the-art performance. Identifies limits on private/domain data and integration challenges for DM systems. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
13326
Venue
VLDB
Year
2023
Pagerank
0.00021169035
Overall Rank
517 | 96.41%
DOI
10.14778/3574245.3574258

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