Embedding World Knowledge into Tabular Models: Towards Best Practices for Embedding Pipeline Design

Oksana Kolomenko, Ricardo Knauer, Erik Rodner

Embeddings are a powerful way to enrich data-driven machine learning models with the world knowledge of large language models (LLMs). Yet, there is limited evidence on how to desig…