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.
Q: After adversarial modifications, the performance of the original target models (those without the "-adv" suffix) drops dramatically (e.g. the overall accuracy of BERT on Quora drops from 94.6% to 24.1%), revealing that the target models are vulnerable to our adversarial examples.
Question: How much dramatically results drop for models on generated adversarial examples?
A:
BERT on Quora drops from 94.6% to 24.1%