AdaRAG: Budget-Aware Adaptive Retrieval-Augmented Generation via Hierarchical Reinforcement Learning
Multi-turn retrieval-augmented generation (RAG) improves question answering by decomposing evidence seeking into iterative retrieval and reasoning steps. Existing multi-turn RAG methods usually optimize when and how to retrieve while fixing the number of retrieved documents per step. However, we discovered that this fi...