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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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CONSORT-TM: Text classification models for assessing the completeness of randomized controlled trial publications

Lan Jiang1, Mengfei Lan1, Joe D Menke1

  • 1School of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA.

Medrxiv : the Preprint Server for Health Sciences
|April 18, 2024
PubMed
Summary

Developing AI models to check CONSORT reporting guidelines in randomized controlled trials is feasible. A fine-tuned PubMedBERT model shows promise for improving reporting quality and manuscript completeness.

Keywords:
CONSORTText miningreporting guidelinesreporting transparencysentence classification

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