Author

Yi Yang

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#machine learning Apr 2026

Flux Attention: Context-Aware Hybrid Attention for Efficient LLMs Inference

Flux Attention is introduced, a context-aware framework that dynamically optimizes attention computation at the layer level by integrating a lightweight Layer Router into frozen pretrained LLMs, which adaptively routes each layer to FA or SA based on the input context.

Quantong Qiu, Zhiyi Hong, Yi Yang et al. · arXiv.org · 0 citations

Preprint Aug 2026

Diversity Matters: Distributional Feature Coverage Sample Selection for Data-Efficient Backdoor Attacks

DFCS is proposed, a training-free, trigger-agnostic method that clusters fixed pretrained features into one region per poisoning slot and selects the centroid-nearest sample from each region and supports distributional feature coverage as an effective selection principle for low-budget dirty-label backdoor attacks.

Yi Yang, Xiaoke Chen, Jin-Yang Huang et al. · 0 citations