A Non-Vector Retrieval-Augmented Generation Model for External Time-Relevant Corpus Extraction

You, Jinghao (2025) A Non-Vector Retrieval-Augmented Generation Model for External Time-Relevant Corpus Extraction. In: Proceedings of the 2nd International Conference on Machine Learning and Automation, CONF-MLA 2024, November 21, 2024, Adana, Turkey.

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Abstract

Large language models (LLMs) have emerged as a powerful tool in the natural language process, allowing information extraction and answer generation from pre-trained databases. Regarding untrained external corpus, the retrieval-augmented generation (RAG) techniques enable quick establishing of databa

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 18:27
Last Modified: 16 Apr 2026 21:38
URI: http://eprints.eai.eu/id/eprint/52540

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