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Disambiguate Entity Matching through Relation Discovery with Large Language Models
Entity matching is a critical challenge in data integration and cleaning, central to tasks like fuzzy joins and deduplication.
JoinBoost: Grow Trees Over Normalized Data Using Only SQL
Although dominant for tabular data, ML libraries that train tree models over normalized databases (e. g., LightGBM, XGBoost) require the data to be denormalized as a single table, materialized, and exported.
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