Open access
Jul 2026
RAGnRoll: Learning to Iteratively Retrieve and Generate Attributable Answer Snippets
This work proposes RAGnRoll, a language model for attributed answer generation within a multi-round Retrieval-Augmented Generation (RAG) framework that leverages the iterative nature of multi-round RAG to train an LLM to incrementally build answers guided by subqueries.
Hanane Djeddal, Laure Soulier, K. Pinel-Sauvagnat et al.
· ACM Transactions on Informat... · 0 citations