Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection.

Changhua Pei|Hang Cui|Jingjing Li|Yuxuan Li|Zihan Liu|Xinyuan Liao|Cenjie Hu|Jiabao Wang|Zheyuan Li|Zexin Wang|Haotian Si|Ke Xiang|Gaogang Xie|Dan Pei


Anthology ID:DBLP:conf/www/PeiCLLLLHWLWSXX26
Volume:Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026.
Year:2026
Venue:The Web Conference (WWW)
Publisher:ACM
Pages:7869-7879
URL:https://doi.org/10.1145/3774904.3792804
DOI:https://doi.org/10.1145/3774904.3792804
DBLP:conf/www/PeiCLLLLHWLWSXX26
BibTeX:
@inproceedings{pei-2026-smart, author = {Changhua Pei and Hang Cui and Jingjing Li and Yuxuan Li and Zihan Liu and Xinyuan Liao and Cenjie Hu and Jiabao Wang and Zheyuan Li and Zexin Wang and Haotian Si and Ke Xiang and Gaogang Xie and Dan Pei}, editor = {Hakim Hacid and Yoelle Maarek and Francesco Bonchi and Ido Guy and Emine Yilmaz}, title = {{Smart Eye: LLM-Guided Proposer-Verifier Framework for Industrial-Scale Log Anomaly Detection}}, booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}}, pages = {7869--7879}, publisher = {ACM}, year = {2026}, url = {https://doi.org/10.1145/3774904.3792804}, doi = {https://doi.org/10.1145/3774904.3792804} }