AutoEval Done Right: Using Synthetic Data for Model Evaluation 事件

AutoEval Done Right: Using Synthetic Data for Model Evaluation arXiv:2403.07008v3 Announce Type: replace-cross Abstract: The evaluation of machine learning models using human-labeled validation data can be expensive and time-consuming. AI-labeled synthetic data can be used to decrease the number of human annotations required for this purpose in a process called autoevaluation. We suggest efficient and statistically principled algorithms for this purpose that improve sample efficiency while rema