Classification and Recognition in the Large Language Models Context

The current paper presents a comparative study of a classification task performed by two popular Large Language Models. The quantitative results show that the models have comparable performance, while the qualitative analysis outlines some weak points specific to both models.

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Publication Details

Journal
Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics
Published
2024-12-31
DOI
https://doi.org/10.35219/eai15840409460
Primary Topic
Natural Language Processing Techniques
Type
article
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0.00
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article

Classification and Recognition in the Large Language Models Context

Adrian Doroiman
Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied Informatics
Natural Language Processing Techniques
article

Classification and Recognition in the Large Language Models Context

Adrian Doroiman
article en

Abstract

The current paper presents a comparative study of a classification task performed by two popular Large Language Models. The quantitative results show that the models have comparable performance, while the qualitative analysis outlines some weak points specific to both models.

Annals of Dunarea de Jos University of Galati Fascicle I Economics and Applied InformaticsVol. 30(3)
Quality Education
Openalex Percentile: Top 76%
Natural Language Processing Techniques
DOIOpen Access PDFOpenAlex
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