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Guo-Sen Xie

2 papers indexed

arxivcs.CV2026-07-03

CL-Anomaly: Layer-Adaptive Mixture-of-Experts with Multimodal Large Language Model for Continual Learning in Anomaly Detection

Wen Dong, Zhao Wang, Shuangqing Zhang, Kai Sun, Ben Li, Guo-Sen Xie, et al.

Multimodal Large Language Models (MLLMs) excel in diverse vision tasks, but full-parameter retraining is computationally expensive as real-world knowledge evolves. Existing continual learning methods often suffer from semantic entanglement in parameter spaces across tasks, impedi…

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arxivcs.LGcs.CL2026-07-02

Denser $\neq$ Better: Limits of On-Policy Self-Distillation for Continual Post-Training

Meng Wang, Haohan Zhao, Wenzhuo Liu, Lu Yang, Geng Liu, Haiyang Guo, et al.

Continual post-training enables foundation models to acquire new knowledge while preserving existing capabilities. Recent work suggests that on-policy learning can mitigate forgetting, with on-policy self-distillation emerging as a particularly attractive approach. In this work,…

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