In this task, you will be presented with a context from an academic paper and a question separated with a
. You have to answer the question based on the context.

Thus, for this work, we build upon Hybrid Code Networks (HCN) BIBREF4 since HCNs achieve state-of-the-art performance in a data-efficient way for task-oriented dialogs, and propose AE-HCNs which extend HCNs with an autoencoder (Figure FIGREF8 ). AE-HCN(-CNN) outperforms HCN on Test-OOD by a large margin about 17(20) points on average while keeping the minimum performance trade-off compared to Test.
Question: By how much does their method outperform state-of-the-art OOD detection?
AE-HCN outperforms by 17%, AE-HCN-CNN outperforms by 20% on average