A hybrid Transformer/LLM plus autoencoder system is claimed to beat classical anomaly detectors on CICIDS 2017, but no accuracy numbers, code, or architecture details are supplied.
Harnessing earnings reports for stock predictions: A qlora-enhanced llm approach,
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Research on Cloud Platform Network Traffic Monitoring and Anomaly Detection System based on Large Language Models
A hybrid Transformer/LLM plus autoencoder system is claimed to beat classical anomaly detectors on CICIDS 2017, but no accuracy numbers, code, or architecture details are supplied.