16 citations · 88 across the 40 of their papers we have counts for
4 papers · 1 filter
DECAF: De-Clustering for Adaptive Representational Unlearning
Anjie Le, Can Peng, Hongcheng Guo +1
Machine unlearning, which aims to remove the influence of specific training data from a trained model, is a key requirement for privacy, accountability, and adaptive deployment. We…
RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services
Fei Zhao, Chonggang Lu, Yue Wang +22
As a primary medium for modern information dissemination, social networking services (SNS) have experienced rapid growth, which has proposed significant challenges for platform con…
LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection
Hongcheng Guo, Jian Yang, Jiaheng Liu +7
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps). Considering log data of variant domains, retraining the whole network fo…
TransLog: A Unified Transformer-based Framework for Log Anomaly Detection
Hongcheng Guo, Xingyu Lin, Jian Yang +5
Log anomaly detection is a key component in the field of artificial intelligence for IT operations (AIOps). Considering log data of variant domains, retraining the whole network fo…