25 citations · 26 across the 4 of their papers we have counts for
4 papers
Enhancing LLM Reasoning for Time Series Classification by Tailored Thinking and Fused Decision
Jiahui Zhou, Dan Li, Lin Li +5
The reasoning capabilities of large language models (LLMs) have significantly advanced their performance by enabling in-depth understanding of diverse tasks. With growing interest…
AnomalyGen: An Automated Semantic Log Sequence Generation Framework with LLM for Anomaly Detection
Xinyu Li, Yingtong Huo, Chenxi Mao +4
The scarcity of high-quality public log datasets has become a critical bottleneck in advancing log-based anomaly detection techniques. Current datasets exhibit three fundamental li…
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
Shiwen Shan, Yintong Huo, Yuxin Su +3
Configurable software systems are prone to configuration errors, resulting in significant losses to companies. However, diagnosing these errors is challenging due to the vast and c…
GLHAD: A Group Lasso-based Hybrid Attack Detection and Localization Framework for Multistage Manufacturing Systems
Ahmad Kokhahi, Dan Li
As Industry 4.0 and digitalization continue to advance, the reliance on information technology increases, making the world more vulnerable to cyber-attacks, especially cyber-physic…