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The application of large language models in meteorology graduate research: current status, impact, and prospects

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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institution FRELIP
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spellingShingle The application of large language models in meteorology graduate research: current status, impact, and prospects
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
subject_facet Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
title The application of large language models in meteorology graduate research: current status, impact, and prospects
title_auth The application of large language models in meteorology graduate research: current status, impact, and prospects
title_full The application of large language models in meteorology graduate research: current status, impact, and prospects
title_fullStr The application of large language models in meteorology graduate research: current status, impact, and prospects
title_full_unstemmed The application of large language models in meteorology graduate research: current status, impact, and prospects
title_short The application of large language models in meteorology graduate research: current status, impact, and prospects
title_sort the application of large language models in meteorology graduate research: current status, impact, and prospects
topic Cybersecurity, Cryptography and Privacy
Computer Science & IT
Engineering & Technology
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0347933