LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection

Name: LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection
Creator: ye

ye

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Model . 2025

License: CC BY

Data sources: Datacite

ZENODO

Model . 2025

License: CC BY

Data sources: Datacite

ZENODO

Model . 2025

License: CC BY

Data sources: Datacite

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection

appsOther research productkeyboard_double_arrow_right Model 01 Jan 2025Publisher:Zenodo

Authors: ye;

doi: 10.5281/zenodo.17482535 , 10.5281/zenodo.17482762 , 10.5281/zenodo.17850648

LogICL: Distilling LLM Reasoning to Bridge the Semantic Gap in Cross-Domain Log Anomaly Detection

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Abstract

Note: The current version provides the raw datasets and implementation code. We are in the process of upgrading the repository to improve reproducibility. An updated version, optimized for ease of deployment and execution, will be available soon after code cleanup is complete.

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