Before revision: This work presents a novel pipeline that demonstrates what is achievable with a combined effort of state-of-the-art approaches , surpassing the 50\% exact match on NaturalQuestions and EfficentQA datasets . Specifically, it proposes the novel R2-D2 (Rank twice, reaD twice) pipeline composed of retriever,  reranker, extractive reader, generative reader and a simple way to combine them.
After revision: This work presents a novel pipeline that demonstrates what is achievable with a combined effort of state-of-the-art approaches , surpassing the 50\% exact match on NaturalQuestions and EfficentQA datasets . Specifically, it proposes the novel R2-D2 (Rank twice, reaD twice) pipeline composed of retriever, passage reranker, extractive reader, generative reader and a simple way to combine them.