Question: How authors create adversarial test set to measure model robustness?
Answer: we devise a test set consisting of ‘adversarial’ examples, i.e, perturbed examples that can potentially change the base model's prediction. , We use two approaches described in literature: back-translation and noisy sequence autoencoder.