LogPipe

Log Parsing with Prompt-based Few-shot Learning (ICSE 2023, Technical Track)

Demonstration-Free: Towards More Practical Log Parsing with Large Language Models

This repository includes artifacts for reuse and reproduction of experimental results presented in our ICSE'25 paper titled "Unleashing the True Potential of Semantic-based Log Parsing with Pre-trained Language Models"

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

Code for "Pre-training with Contrastive Learning for Unified Log Analytics"

Log Parsing: How Far Can ChatGPT Go? (ASE 2023 - NIER Track)

Log-based Anomaly Detection Without Log Parsing (ASE 2021, Research Track)

Semi-supervised and unsupervised anomaly detection by mining numerical workflow relations from system logs (Accepted by Automated Software Engineering 2023)