When Tables Learn the Meaning Behind Their Columns
TL;DR for operators Many enterprise prediction systems already perform well on structured tables, but those tables often contain information that traditional pipelines treat as symbols rather than meaning: product categories, descriptions, labels, and domain-specific terminology. The CASE framework explores whether language-model-derived representations can add this missing semantic layer without replacing the tabular models already used in production. ...