Retrieval-Augmented Generation with Estimation of Source Reliability
Retrieval-Augmented Generation with Estimation of Source Reliability
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Retrieval-augmented generation (RAG) addresses key limitations of large language models (LLMs), such as hallucinations and outdated knowledge, by incorporating external databases. These databases typically consult multiple sources to encompass up-to-date and various information. However, standard RAG methods often overlook the heterogeneous source...
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Retrieval-Augmented Generation with Estimation of Source Reliability
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TN_cdi_proquest_journals_3122764033
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3122764033
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E-ISSN
2331-8422
