Evaluation of Retrieval-Augmented Generation: A Survey

Retrieval-Augmented Generation (RAG) has recently gained traction in natural language processing. Numerous studies and real-world applications are leveraging its ability to enhance generative models through external information retrieval. Evaluating these RAG systems, however, poses unique challenge...

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Veröffentlicht in:	arXiv.org 2024-07
Hauptverfasser:	Yu, Hao, Gan, Aoran, Zhang, Kai, Tong, Shiwei, Liu, Qi, Liu, Zhaofeng
Format:	Artikel
Sprache:	eng
Schlagworte:	Benchmarks Evaluation Hybrid structures Information retrieval Natural language processing
Online-Zugang:	Volltext
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