An instruction-tuned model is evaluated on a specific task: summarizing legal documents. The goal is to achieve intra-task generalization, which is formally defined as the average performance on a set of new inputs (Z) exceeding a predefined threshold (ε).

The evaluation uses a set of 100 new legal documents the model has never seen before. The performance threshold (ε) is set to 0.85.

• Model A correctly summarizes 92 of the 100 new documents.
• Model B correctly summarizes 81 of the 100 new documents.

Based on the formal definition, which of the following conclusions is correct?

Match each variable from the formal definition of intra-task generalization with its correct description. The formula is given as: $\frac{1}{|Z|} \sum_{z' \in Z} P(c^*, z', y') > \epsilon$

Evaluating Model Generalization in Customer Service