Author

Da-Wei Yang

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Open access Sep 2026

Efficient Log Anomaly Detection via Dual-Domain State Space Modeling

Log anomaly detection requires models that capture long-range event dependencies without the quadratic sequence-length cost of self-attention. We present LogMamba, a reconstruction-based model that combines a bidirectional selective state-space branch with a Multi-Scale Frequency Learner (MSFL). The sequence branch mod...

Xian-Lang Hu, Guang-Sheng Feng, Rui-Ni Wang et al. · Computers · 0 citations

#artificial intelligence Preprint Sep 2026

All for 1-Bit: Towards Genuine 1-Bit Post-Training Quantization for LLMs

All for 1-Bit (AF1) is proposed, a genuine 1-bit PTQ framework for LLMs that consistently outperforms existing binarization-based PTQ methods in perplexity and zero-shot accuracy, providing a practical path toward deployable genuine 1-bit compression for LLMs.

Zhi-Xiong Zhao, Zu-Kang Xu, Guang-Yu Sun et al. · 1 citation

#artificial intelligence Preprint Sep 2026

ACE: Adaptive Calibration-Free Expert Skipping for MoE-based LLMs

Mixture-of-Experts (MoE) architectures provide an efficient paradigm for scaling large language models (LLMs), yet fixed top-k routing activates the same number of expert slots for every token, causing substantial redundant computation. Existing expert-skipping methods often rely on router confidence, calibration data,...

Zu-Kang Xu, Zhi-Xiong Zhao, Xing Hu et al. · 0 citations