Before revision: While fine-tuning pre-trained language models (PTLMs) has yielded strong results on a range of question answering (QA) benchmarks, these methods still suffer in cases when external knowledge are needed to infer the right answer.
After revision: Existing work on augmenting question answering (QA) benchmarks, these methods still suffer in cases when external knowledge are needed to infer the right answer.