This paper shows that retrieval can be practically implemented using dense representations alone, where embeddings are learned from a small number of questions and passages by a simple dual encoder…
GitHub - soheeyang/DPR-1: Dense Passage Retriever - is a set of
Ritvik Rastogi – Medium
How Dense Passage Retrievers (DPR) Work
Semi-supervised learning to improve translation of guest reviews, by Karlijn Zaanen
Papers Explained 90: E5. Text Embeddings by Weakly-Supervised…, by Ritvik Rastogi
An Encoder Attribution Analysis for Dense Passage Retriever in
Faceted Search Needs Precise Retrieval, by Wilson Wong, Practical AI Coalition
Dense Passage Retrieval for Open-Domain Question Answering
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Understanding Dense Passage Retrieval (DPR) System
Dense Passage Retrieval for Open-Domain Question Answering
Brief Review — DPR: Dense Passage Retrieval for Open-Domain
Papers Explained 90: E5. Text Embeddings by Weakly-Supervised
Papers Explained 90: E5. Text Embeddings by Weakly-Supervised
J. Intell., Free Full-Text