Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction

arXiv:2605.05244v1 Announce Type: cross Abstract: Incorporating specific knowledge into large language models via retrieval-augmented generation (RAG) is a widespread technique that fuels many of today's industry AI applications. A fundamental problem is to assess if the context retrieved by some...