Inconsistent evaluation reporting across AI leaderboards and papers makes it impossible to reliably compare models—Evaluation Cards solves this by creating a unified, machine-readable format that surfaces what's missing and helps different stakeholders understand what results actually mean.
This paper introduces Evaluation Cards, a standardized reporting system that makes AI model evaluation results comparable and interpretable across different sources.