15 citations · 18 across the 11 of their papers we have counts for
4 papers · 1 filter
SINT-Flow: Schema Integration using Large Language Model Workflows
Keti Korini, Christian Bizer
The goal of schema integration is, given a set of input schemata or tables, to derive a global, unified schema that is able to represent the concepts, attributes, and relationships…
MaDI-Bench: An End-to-End Data Integration Benchmark
Aaron Steiner, Ralph Peeters, Christian Bizer
Data integration combines heterogeneous data sets into a single, coherent representation. Data integration involves a sequence of interdependent tasks including schema matching, va…
Labeling Training Data for Entity Matching Using Large Language Models
Aaron Steiner, Christian Bizer
Recent large language models (LLMs) achieve strong performance on entity matching without requiring task-specific training data. However, applying these models to large sets of can…
Automatic End-to-End Data Integration using Large Language Models
Aaron Steiner, Christian Bizer
Designing data integration pipelines typically requires substantial manual effort from data engineers to configure pipeline components and label training data. While LLMs have show…