arXiv:2606. 12789v1 Announce Type: new Abstract: Evaluating retrieval-augmented generation (RAG) systems requires benchmarks that capture diverse question characteristics, yet practitioners lack empirical guidance on which dimensions to vary and at what granularity.
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How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation
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