A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation
October 04, 2024 ยท Declared Dead ยท ๐ arXiv.org
"No code URL or promise found in abstract"
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Authors
Yilong Zhao, Daifeng Li
arXiv ID
2410.09077
Category
cs.CL: Computation & Language
Cross-listed
cs.IR
Citations
1
Venue
arXiv.org
Last Checked
5 months ago
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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