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Signed-off-by: Jael Gu <mengjia.gu@zilliz.com>
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@ -12,14 +12,14 @@ Dense Passage Retrieval (DPR) is a set of tools and models for state-of-the-art
It was introduced in Dense Passage Retrieval for Open-Domain Question Answering by Vladimir Karpukhin, It was introduced in Dense Passage Retrieval for Open-Domain Question Answering by Vladimir Karpukhin,
Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih[1]. Barlas Oğuz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih[1].
**DPR** models were proposed in “[Dense Passage Retrieval for Open-Domain Question Answering][2].
**DPR** models were proposed in "Dense Passage Retrieval for Open-Domain Question Answering"[2].
In this work, we show that retrieval can be practically implemented using dense representations alone, In this work, we show 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 framework[2]. where embeddings are learned from a small number of questions and passages by a simple dual-encoder framework[2].
## Reference ## Reference
[1].https://huggingface.co/docs/transformers/v4.16.2/en/model_doc/longformer#transformers.LongformerConfig
[1].https://huggingface.co/docs/transformers/model_doc/dpr
[2].https://arxiv.org/abs/2004.04906 [2].https://arxiv.org/abs/2004.04906

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