10 апр. 2020 г. · Our dense retriever outperforms a strong Lucene-BM25 system largely by 9%-19% absolute in terms of top-20 passage retrieval accuracy.

Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art open-domain Q&A research. It was introduced in Dense Passage Retrieval for Open- ...

31 окт. 2023 г. · Dense Passage Retrieval ( DPR ) - is a set of tools and models for state-of-the-art open-domain Q&A research. It is based on the following ...

Our dense retriever outperforms a strong Lucene-BM25 system greatly by 9%-19% absolute in terms of top-20 passage retrieval accuracy.

20 дек. 2023 г. · The goal of the dense passage retriever (DPR) is to index all the passages in a low-dimensional and continuous space, such that it can retrieve efficiently the ...

19 сент. 2022 г. · A dense passage retriever (DPR) is responsible for fetching relevant passages w.r.t to the question asked based on the similarity between the ...

21 мая 2024 г. · Dense Passage Retrieval is a technique from a 2020 paper and it seems to make a lot of sense for RAG. In this technique two separate models ...

Our dense passage retriever (DPR) uses a dense encoder EP (·) which maps any text passage to a d- dimensional real-valued vectors and builds an index for all ...

Dense passage retrieval (DPR) is the first step in the retrieval augmented generation (RAG) paradigm for improving the performance of large language models (LLM) ...

22 мар. 2023 г. · Dense Passage Retrieval is a technique for open-domain question answering that aims to retrieve relevant passages from a large corpus of ...