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Requirements Classification Using Fine-Tuned Transformer Models: A Comparative Study of BERT, RoBERTa, and GPT-4o

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationProceedings of the 2026 ACM Southeast Conference, ACMSE 2026
PublisherAssociation for Computing Machinery
Pages199-204
Number of pages6
ISBN (Electronic)9798400720628
DOIs
StatePublished - May 14 2026
Event2026 ACM Southeast Conference, ACMSE 2026 - Troy, United States
Duration: Apr 23 2026Apr 25 2026

Publication series

NameProceedings of the 2026 ACM Southeast Conference, ACMSE 2026

Conference

Conference2026 ACM Southeast Conference, ACMSE 2026
Country/TerritoryUnited States
CityTroy
Period4/23/264/25/26

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Hardware and Architecture
  • Software

Keywords

  • BERT
  • ChatGPT
  • GPT-4o
  • RoBERTa
  • classification
  • large language models
  • machine learning
  • requirements

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