Teaching Language Models to Hallucinate Less with Synthetic Tasks
Teaching Language Models to Hallucinate Less with Synthetic Tasks
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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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Large language models (LLMs) frequently hallucinate on abstractive summarization tasks such as document-based question-answering, meeting summarization, and clinical report generation, even though all necessary information is included in context. However, optimizing LLMs to hallucinate less on these tasks is challenging, as hallucination is hard to...
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Teaching Language Models to Hallucinate Less with Synthetic Tasks
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TN_cdi_proquest_journals_2875642414
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2875642414
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2331-8422
