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

1 citations · 1 across the 1 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.DC2024

Advancing Anomaly Detection in Computational Workflows with Active Learning

Krishnan Raghavan, George Papadimitriou, Hongwei Jin +4

A computational workflow, also known as workflow, consists of tasks that are executed in a certain order to attain a specific computational campaign. Computational workflows are co…