Leveraging Foundation Models for Unified Data Discovery and Exploration

Foundation models show promising performance on a range of diverse tasks unrelated to their training, making them highly applicable to the data discovery and data exploration domain. When carefully used, they outperform task-specific models and even human experts on three representative tasks: table-class detection, column-type annotation, and join-column prediction.