Large Language Models for Anomaly Detection in Computational Workflows: from Supervised Fine-Tuning to In-Context Learning.
Hongwei JinGeorge PapadimitriouKrishnan RaghavanPawel ZukPrasanna BalaprakashCong WangAnirban MandalEwa DeelmanPublished in: CoRR (2024)
Keyphrases
- anomaly detection
- language model
- fine tuning
- unsupervised learning
- learning algorithm
- intrusion detection
- anomalous behavior
- probabilistic model
- supervised learning
- connectionist systems
- document retrieval
- network intrusion detection
- novelty detection
- language modeling
- context sensitive
- n gram
- learning process
- fine tuned
- information retrieval
- network traffic
- intrusion detection system
- data mining
- data mining techniques
- detect anomalies
- reinforcement learning
- one class support vector machines
- network anomaly detection