We evaluate the adversarially trained models, as shown in Table TABREF18.

After adversarial training, the performance of all the target models raises significantly, while that on the original examples remain comparable. 
 Question: How much in experiments is performance improved for models trained with generated adversarial examples?
Answer with content missing: (Table 1) The performance of all the target models raises significantly, while that on the original
examples remain comparable (e.g. the overall accuracy of BERT on modified examples raises from 24.1% to 66.0% on Quora)