Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models Cover

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Through the Thicket: A Study of Number-Oriented LLMS Derived from Random Forest Models

Journal of Artificial Intelligence and Soft Computing Research

Volume 15 (2025): Issue 3 (July 2025)

By: Michał Romaszewski , Przemysław Sekuła , Przemysław Głomb , Michał Cholewa and Katarzyna Kołodziej

Open Access

|Mar 2025

Authors

Michał Romaszewski

mromaszewski@iitis.pl

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Przemysław Sekuła

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Przemysław Głomb

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Michał Cholewa

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

Katarzyna Kołodziej

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences

DOI: https://doi.org/10.2478/jaiscr-2025-0014

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Language: English

Page range: 279 - 298

Submitted on: Oct 7, 2024

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Accepted on: Mar 4, 2025

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Published on: Mar 18, 2025

Published by: SAN University

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

classification,

large language model,

explainable artificial intelligence

Related subjects:

Computer sciences,

Artificial intelligence,

Databases and data mining

© 2025 Michał Romaszewski, Przemysław Sekuła, Przemysław Głomb, Michał Cholewa, Katarzyna Kołodziej, published by SAN University
This work is licensed under the Creative Commons Attribution 4.0 License.

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