Comparing Metrics for Llm Models on Aviation Texts in Slovak Language

In this article, we present a comprehensive evaluation of three large language models (LLMs) – LLaMA3, Gemma7B, and Aya – focusing on their performance in generating aviation-related texts in the Slovak language. The study employs three widely recognized evaluation metrics: METEOR, BLEU, and ROUGE, to systematically assess the quality of the generated texts.

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Publication Details

Journal
Acta Avionica Journal
Published
2024-12-18
DOI
https://doi.org/10.35116/aa.2024.0019
Citations
1
Primary Topic
Information Systems and Technology Applications
Type
article
Field-Weighted Citation Impact
0.53

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article

Comparing Metrics for Llm Models on Aviation Texts in Slovak Language

Marek Dobeš
1 citations
Acta Avionica Journal
Information Systems and Technology Applications
0.53
article

Comparing Metrics for Llm Models on Aviation Texts in Slovak Language

Marek Dobeš
article en
1 citations

Abstract

In this article, we present a comprehensive evaluation of three large language models (LLMs) – LLaMA3, Gemma7B, and Aya – focusing on their performance in generating aviation-related texts in the Slovak language. The study employs three widely recognized evaluation metrics: METEOR, BLEU, and ROUGE, to systematically assess the quality of the generated texts.

Acta Avionica Journal
Centre of Social and Psychological Sciences of the Slovak Academy of Sciences (SK)
European Regional Development Fund
Openalex Percentile: Top 23%
Information Systems and Technology Applications
0.53
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Comparing Metrics for Llm Models on Aviation Texts in Slovak Language — Marek Dobeš · Acta Avionica Journal (2024) | TGRS Research Map | TGRS