Papers Explained 86: Dense Passage Retriever

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…

Dense Passage Retrieval in Open-Domain Question Answering

PDF) Analysing Dense Passage Retrieval for Multi-hop Question

Faceted Search Needs Precise Retrieval, by Wilson Wong, Practical AI Coalition

Papers Explained 90: E5. Text Embeddings by Weakly-Supervised

Papers Explained 88: ColBERT. ColBERT is a novel ranking model

Exploring the state of the art in legal QA systems

Dense Passage Retrieval for Open-Domain Question Answering

RocketQA: An Optimized Training Approach to Dense Passage

The Illustrated Dense Passage retriever - Ankur NLP Enthusiast

Papers Explained 86: Dense Passage Retriever

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Brief Review — DPR: Dense Passage Retrieval for Open-Domain

List: Language Models, Curated by Ritvik Rastogi

Papers Explained 88: ColBERT. ColBERT is a novel ranking model

PDF] LaPraDoR: Unsupervised Pretrained Dense Retriever for Zero