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W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Nian, Jinming, Peng, Zhiyuan, Wang, Qifan, Fang, Yi
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence Information Retrieval Machine Learning
Accesso online:	Acceder al recurso
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