LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection

9 January 2024

Hongcheng Guo

Jiaheng Liu

Zhoujun Li

Junran peng

Papers citing "LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection"

4 / 4 papers shown

Title
Diagnosing and Resolving Cloud Platform Instability with Multi-modal RAG LLMs Yifan Wang Kenneth P. Birman 49 0 0 27 May 2025
ADALog: Adaptive Unsupervised Anomaly detection in Logs with Self-attention Masked Language Model Przemek Pospieszny Wojciech Mormul Karolina Szyndler Sanjeev Kumar 73 0 0 15 May 2025
What Information Contributes to Log-based Anomaly Detection? Insights from a Configurable Transformer-Based Approach Xingfang Wu Heng Li Foutse Khomh AI4TS 62 0 0 30 Sep 2024
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks Nils Reimers Iryna Gurevych 646 11,979 0 27 Aug 2019