AD-LLM: Benchmarking Large Language Models for Anomaly Detection
Tiankai Yang, Yi Nian, Li Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Zhuo Xiao, Xiyang Hu, Ryan A. Rossi, Kaize Ding, Xia Hu, Yue Zhao. Findings of the Association for Computational Linguistics: ACL 2025. 2025.
Authors
- Yue Zhao (ORCID: https://orcid.org/0000-0003-2753-5921)
- Ryan A. Rossi (ORCID: https://orcid.org/0000-0001-9758-0635)
- Jiaqi Li (ORCID: https://orcid.org/0009-0004-3393-5774)
- Kaize Ding (ORCID: https://orcid.org/0000-0001-6684-6752)
- Xiyang Hu (ORCID: https://orcid.org/0000-0001-7269-3828)
- Zhuo Xiao (ORCID: https://orcid.org/0009-0008-0032-3527)
- Xia Hu (ORCID: https://orcid.org/0000-0003-2234-3226)
- Li Li (ORCID: https://orcid.org/0009-0003-4791-3114)
- Yi Nian
- Yuangang Li (ORCID: https://orcid.org/0000-0003-3143-1105)
- Tiankai Yang (ORCID: https://orcid.org/0009-0000-4965-4433)
- Ruiyao Xu
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.findings-acl.79
- Citations
- 3
- Primary Topic
- Anomaly Detection Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 7.44
Funders
- National Science Foundation
- National Centre for Supercomputing Applications
- Office of Advanced Cyberinfrastructure