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Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task

  • Zihao Wu
  • , Lu Zhang
  • , Chao Cao
  • , Xiaowei Yu
  • , Zhengliang Liu
  • , Lin Zhao
  • , Yiwei Li
  • , Haixing Dai
  • , Chong Ma
  • , Gang Li
  • , Wei Liu
  • , Quanzheng Li
  • , Dinggang Shen
  • , Xiang Li
  • , Dajiang Zhu
  • , Tianming Liu
  • University of Georgia
  • University of Texas at Arlington
  • Northwestern Polytechnical University Xian
  • University of North Carolina at Chapel Hill
  • Mayo Clinic Scottsdale, AZ
  • Harvard University
  • ShanghaiTech University
  • Ltd.

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)1027-1041
Number of pages15
JournalIEEE Transactions on Big Data
Volume11
Issue number3
DOIs
StatePublished - 2025
Externally publishedYes

ASJC Scopus Subject Areas

  • Information Systems
  • Information Systems and Management

Keywords

  • Large language models
  • natural language inference
  • natural language processing
  • radiology report

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