MSRS provides two multi-source retrieval and synthesis benchmarks and shows generation quality depends heavily on retrieval, with reasoning models best at oracle synthesis.
A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
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abstract
The drafting of documents in the procurement field has progressively become more complex and diverse, driven by the need to meet legal requirements, adapt to technological advancements, and address stakeholder demands. While large language models (LLMs) show potential in document generation, most LLMs lack specialized knowledge in procurement. To address this gap, we use retrieval-augmented techniques to achieve professional document generation, ensuring accuracy and relevance in procurement documentation.
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2025 1verdicts
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MSRS: Evaluating Multi-Source Retrieval-Augmented Generation
MSRS provides two multi-source retrieval and synthesis benchmarks and shows generation quality depends heavily on retrieval, with reasoning models best at oracle synthesis.