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FRLog: Log Anomaly Detection Based on Three-Stage Training with Reft Fine-Tuning for Large Language Model Cover

FRLog: Log Anomaly Detection Based on Three-Stage Training with Reft Fine-Tuning for Large Language Model

Journal of Artificial Intelligence and Soft Computing Research
Volume 16 (2026): Issue 2 (March 2026)
By: Keyuan Qiu,  Zhejie Xu,  Tao Luo,  Meifang Yan,  Ruru Liu,  Pengjin Liu and  Feng Chen  
Open Access
|Feb 2026

Authors

Keyuan Qiu

College of Information Science and Technology, Shihezi University, Shihezi City, China

Zhejie Xu

College of Information Science and Technology, Shihezi University, Shihezi City, China

Tao Luo

College of Information Science and Technology, Shihezi University, Shihezi City, China

Meifang Yan

College of Computer Science and Technology, Xinjiang Normal University, Urumqi City, China

Ruru Liu

College of Artificial Intelligence, Jilin University, Changchun City, China

Pengjin Liu

College of Information Science and Technology, Shihezi University, Shihezi City, China

Feng Chen

cf_inf@shzu.edu.cn

College of Information Science and Technology, Shihezi University, Shihezi City, China
DOI: https://doi.org/10.2478/jaiscr-2026-0007
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Language: English
Page range: 125 - 144
Submitted on: Jun 11, 2025
|
Accepted on: Dec 27, 2025
|
Published on: Feb 9, 2026
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
anomaly detection,
system security,
model optimisation,
log analysis
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2026 Keyuan Qiu, Zhejie Xu, Tao Luo, Meifang Yan, Ruru Liu, Pengjin Liu, Feng Chen, published by SAN University
This work is licensed under the Creative Commons Attribution 4.0 License.

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