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20202024
most citedLarge Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning

1 citations · 1 across the 2 of their papers we have counts for

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cs.SE2024★ 1 cited

Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning

Hongwei Jin, George Papadimitriou, Krishnan Raghavan +5

Anomaly detection in computational workflows is critical for ensuring system reliability and security. However, traditional rule-based methods struggle to detect novel anomalies. T…

cs.SE2021

Mining Scientific Workflows for Anomalous Data Transfers

Huy Tu, George Papadimitriou, Mariam Kiran +4

Modern scientific workflows are data-driven and are often executed on distributed, heterogeneous, high-performance computing infrastructures. Anomalies and failures in the workflow…