Classification and Generation of Images Containing Armwrestling Techniques

Large language models (LLMs) are often incapable of performing highly specialized image classification and generation tasks (for example, in the domain of armwrestling techniques). This paper investigates the training of artificial intelligence models for the tasks of classification and generation of images containing armwrestling techniques. The paper also includes a comparison of the obtained results with existing multimodal LLMs.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-05
DOI
https://doi.org/10.5281/zenodo.18494842
Primary Topic
Advanced Computational Techniques in Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Classification and Generation of Images Containing Armwrestling Techniques

George Aranibar
Zenodo (CERN European Organization for Nuclear Research)
Advanced Computational Techniques in Science and Engineering
article

Classification and Generation of Images Containing Armwrestling Techniques

George Aranibar
article en

Abstract

Large language models (LLMs) are often incapable of performing highly specialized image classification and generation tasks (for example, in the domain of armwrestling techniques). This paper investigates the training of artificial intelligence models for the tasks of classification and generation of images containing armwrestling techniques. The paper also includes a comparison of the obtained results with existing multimodal LLMs.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 72%
Advanced Computational Techniques in Science and Engineering
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Classification and Generation of Images Containing Armwrestling Techniques — George Aranibar · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS