Structured Exploration and Exploitation of Label Functions for Automated Data Annotation

This paper introduces EXPONA, an automated framework for programmatic labeling that addresses the challenges of costly and error-prone manual data annotation. EXPONA systematically explores multi-level label functions and applies reliability-aware mechanisms to generate high-quality weak labels for training AI models.