LogLLM: Log-based Anomaly Detection Using Large Language Models

arXiv:2411.08561 · cs.SE, cs.AI · Submitted 2024-11-13 · Read on arXiv

cs.SE, cs.AI

Submitted: 2024-11-13

Updated: 2026-10-02

Code: https://github.com/guanwei49/LogLLM

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Adaptability — 1× in this paper · explained in 1 episode
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• The Llama 3 Herd of Models
• Qwen3 Technical Report
• ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools
• FastLogAD: Log Anomaly Detection with Mask-Guided Pseudo Anomaly Generation and Discrimination
• LLM meets ML: Data-efficient Anomaly Detection on Unstable Logs
• FastText.zip: Compressing text classification models

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