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Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection

Fuente: arXiv

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Bibliographic Details
Main Authors:	Khramtsova, Ekaterina, Leelanupab, Teerapong, Zhuang, Shengyao, Baktashmotlagh, Mahsa, Zuccon, Guido
Format:	Preprint
Published:	2024
Subjects:	Information Retrieval
Online Access:	Acceder al recurso
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