Interpretable Online Log Analysis Using Large Language Models with
Prompt Strategies

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Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies

15 August 2023

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Papers citing "Interpretable Online Log Analysis Using Large Language Models with Prompt Strategies"

7 / 7 papers shown

Title
RedChronos: A Large Language Model-Based Log Analysis System for Insider Threat Detection in Enterprises Chenyu Li Zhengjia Zhu Jiyan He Xiu Zhang 99 0 0 04 Mar 2025
LogLM: From Task-based to Instruction-based Automated Log Analysis Yilun Liu Yuhe Ji Shimin Tao Minggui He Weibin Meng Shenglin Zhang Yongqian Sun Yuming Xie Boxing Chen Hao Yang 107 5 0 10 Jan 2025
Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Sewon Min Xinxi Lyu Ari Holtzman Mikel Artetxe M. Lewis Hannaneh Hajishirzi Luke Zettlemoyer LLMAG LRM 193 1,501 0 25 Feb 2022
Log-based Anomaly Detection with Deep Learning: How Far Are We? Van-Hoang Le Hongyu Zhang 53 169 0 09 Feb 2022
Log-based Anomaly Detection Without Log Parsing Van-Hoang Le Hongyu Zhang 84 184 0 04 Aug 2021
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing Pengfei Liu Weizhe Yuan Jinlan Fu Zhengbao Jiang Hiroaki Hayashi Graham Neubig VLM SyDa 242 4,004 0 28 Jul 2021
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection Zhuangbin Chen Jinyang Liu Wen-Cheng Gu Yuxin Su Michael R. Lyu AI4TS 56 106 0 13 Jul 2021

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