Answering Complex Open-Domain Questions with Multi-Hop Dense RetrievalDownload PDF

Sep 28, 2020 (edited Feb 10, 2022)ICLR 2021 PosterReaders: Everyone
  • Keywords: multi-hop question answering, recursive dense retrieval, open domain complex question answering
  • Abstract: We propose a simple and efficient multi-hop dense retrieval approach for answering complex open-domain questions, which achieves state-of-the-art performance on two multi-hop datasets, HotpotQA and multi-evidence FEVER. Contrary to previous work, our method does not require access to any corpus-specific information, such as inter-document hyperlinks or human-annotated entity markers, and can be applied to any unstructured text corpus. Our system also yields a much better efficiency-accuracy trade-off, matching the best published accuracy on HotpotQA while being 10 times faster at inference time.
  • One-sentence Summary: We propose a simple yet effective multi-hop dense retrieval approach for answering complex open-domain questions.
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  • Code: [![github](/images/github_icon.svg) facebookresearch/multihop_dense_retrieval](
  • Data: [HotpotQA](, [Natural Questions](
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