URAG: A Benchmark for Uncertainty Quantification in Retrieval-Augmented Large Language Models
arXiv:2603.19281v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) has emerged as a widely adopted approach for enhancing LLMs in scenarios that demand extensive factual knowledge. …
Vinh Nguyen, Cuong Dang, Jiahao Zhang, Hoa Tran, Minh Tran, Trinh Chau, Thai Le, Lu Cheng, Suhang Wang
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