Performance Gap Recovered (PGR)

A research team trains a large, powerful model by fine-tuning it on a dataset labeled by a smaller, less accurate model. After this training process, they evaluate the powerful model on a held-out test set and find its performance is 85%. This 85% figure represents the weak-to-strong performance (Pweak→strong). What is the most accurate interpretation of this result?

Measuring Weak-to-Strong Generalization

To measure the weak-to-strong performance (Pweak→strong) of a powerful model, a specific sequence of actions must be followed. Arrange the core steps below into the correct chronological order.