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

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

24 July 2024
Hongwei Jin
George Papadimitriou
Krishnan Raghavan
Pawel Zuk
Prasanna Balaprakash
Cong Wang
A. Mandal
Ewa Deelman
ArXiv (abs)PDFHTML

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

1 / 1 papers shown
Title
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
An Empirical Study of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
Yun Luo
Zhen Yang
Fandong Meng
Yafu Li
Jie Zhou
Yue Zhang
CLLKELM
201
319
0
17 Aug 2023
1