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  # MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
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- #### [**📄 Paper**](https://arxiv.org/abs/2508.20867) | [**💻 Code**](https://github.com/yale-nlp/MSRS)
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  This paper introduces a scalable framework for constructing evaluation benchmarks that challenge RAG systems to integrate information across distinct sources and generate long-form responses. Using our framework, we build two new benchmarks on Multi-Source Retrieval and Synthesis: MSRS-Story and MSRS-Meet.
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  # MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
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+ **[📄 Paper](https://arxiv.org/abs/2508.20867) | [💻 Code](https://github.com/yale-nlp/MSRS)**
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  This paper introduces a scalable framework for constructing evaluation benchmarks that challenge RAG systems to integrate information across distinct sources and generate long-form responses. Using our framework, we build two new benchmarks on Multi-Source Retrieval and Synthesis: MSRS-Story and MSRS-Meet.
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