Magneto: Combining Small and Large Language Models for Schema Matching
Magneto: Combining Small and Large Language Models for Schema Matching
Recent advances in language models opened new opportunities to address complex schema matching tasks. Schema matching approaches have been proposed that demonstrate the usefulness of language models, but they have also uncovered important limitations: Small language models (SLMs) require training data (which can be both expensive and challenging to obtain), …