Before revision:  In particular, Rider achieves 48.3 EM on the Natural Questions dataset and 66.4  on the TriviaQA dataset when only 1,024 tokens (7.8 passages on average) are used as the reader input  .
After revision:  In addition, RIDER, without any training, outperforms state-of-the-art transformer-based supervised rerankers. Remarkably, RIDER achieves 48.3 EM on the Natural Questions dataset and 66.4 on the TriviaQA dataset when only 1,024 tokens (7.8 passages on average) are used as the reader input .