Improving End-to-End Training of Retrieval-Augmented Generation Models via Joint Stochastic Approximation
arXiv:2508.18168v3 Announce Type: replace
Abstract: Retrieval-augmented generation (RAG) has become a widely recognized paradigm to combine parametric memory with non-parametric memories. An RAG model consists of two serial connecting components (retr…