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RE-RAG: Improving Open-Domain QA Performance and Interpretability with Relevance Estimator in Retrieval-Augmented Generation

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kim, Kiseung, Lee, Jay-Yoon
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computation and Language Artificial Intelligence
Accesso online:	Acceder al recurso
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