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Chuan Ai

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Conference Jul 2026

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...

Jia-Nan Sun, Miao Zhang, Chen Chen et al. · 0 citations

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