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Lennart Behme

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Jun 2026

FedAugment: Table Augmentation Search over Decentralized Data Repositories

Dataset search often aims to identify joinable or unionable datasets to augment a given query table. State-of-the-art approaches rely on large language models (LLMs) to embed tables into vector representations and perform semantic similarity search. However, existing work assumes a centralized data repository with em...

Lennart Behme, Emil Badura, Leonard Geißler et al. · 0 citations

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