yale-nlp/MSRS
MSRS: Evaluating Multi-Source Retrieval-Augmented Generation π Paper | π» Code 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. π Quickstart Load the corpora for MSRS-Story and MSRS-Meet: from datasetsβ¦ See the full description on the dataset page: https://huggingface.co/datasets/yale-nlp/MSRS.
| Author / organization | yale-nlp |
|---|---|
| License (as declared) | mit |
| Downloads | 160 (as reported by Hugging Face) |
| Likes | 3 |
| Created | 27 August 2025 |
| Last updated at source | 1 September 2025 |
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- 17 Oct 2026 Description: MSRS: Evaluating Multi-Source Retrieval-Augmented Generation π Paper | π» Code This paper introduces a scalable framework for constructing evaluation benchmarks that challenge RAG systems to integrate information across distinct sources an β MSRS: Evaluating Multi-Source Retrieval-Augmented Generation π Paper | π» Code This paper introduces a scalable framework for constructing evaluation benchmarks that challenge RAG systems to integrate information across distinct sources an
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