"Large Language Models for Anomaly Detection in Computational Workflows: ..."

Hongwei Jin et al. (2024)

> Home

Details and statistics

DOI: 10.1109/SC41406.2024.00098

access: closed

type: Conference or Workshop Paper

metadata version: 2024-12-19

- view
  - electronic edition @ acm.org
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/sc/Jin0RZB0MD24
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/sc/Jin0RZB0MD24
Hongwei Jin, George Papadimitriou, Krishnan Raghavan, Pawel Zuk, Prasanna Balaprakash, Cong Wang, Anirban Mandal, Ewa Deelman:
Large Language Models for Anomaly Detection in Computational Workflows: From Supervised Fine-Tuning to In-Context Learning. SC 2024: 92

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.