From Table 2, we can see that our multi-passage BERT model outperforms all state-of-the-art models across all benchmarks, and it works consistently better than our BERT-RC model which has the same settings except the global normalization.
on the OpenSQuAD dataset, our model improves by 21.4% EM and 21.5% F 1 over all non-BERT models, and 5.8% EM and 6.5% F 1 over BERT-based models.