Stochastic RAG: End-to-End Retrieval-Augmented Generation through Expected Utility Maximization

Hamed Zamani, Michael Bendersky

This paper introduces Stochastic RAG--a novel approach for end-to-end optimization of retrieval-augmented generation (RAG) models that relaxes the simplifying assumptions of margin…