Uber-Join: Unifying Diverse Table Joins using LLMs with Precision and Cost Guarantees

Guohui Guan, Chang Ge, Yeye He

When two tables from different sources are joined, the values that should join often differ in spelling, format, or meaning, and fuzzy-, transformation-, and semantic-joins each ha…