CurieLM: Enhancing Large Language Models for Nuclear Domain Applications
CurieLM: Enhancing Large Language Models for Nuclear Domain Applications
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Author / Creator
Publisher
EDP Sciences
Journal title
Language
English
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Publisher
EDP Sciences
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Scope and Contents
Contents
Large Language Models (LLMs), such as the Mistral model, have exhibited remarkable performance across diverse tasks. However, their efficacy in nuclear applications remains constrained by a lack of domain-specific knowledge and an inability to effectively leverage that knowledge. Nuclear-related tasks, including safety assessments and requirement a...
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Full title
CurieLM: Enhancing Large Language Models for Nuclear Domain Applications
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_779977917ea84816820cd08d1315d855
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_779977917ea84816820cd08d1315d855
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ISSN
2100-014X
E-ISSN
2100-014X
DOI
10.1051/epjconf/202430217006
