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Pu-Han Luo

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CALSI: Context-Aware Layer Skipping Inference for On-Device LLM Serving

The large language model (LLM) based on the Transformer architecture and its derived various applications have greatly changed people’s lives. Considering some concerns such as privacy and network conditions, deploying LLM on smart devices has gradually become a research focus. In order to reduce the huge computation a...

Pu-Han Luo, Mu Yuan, Ning-Kang Zhang et al. · 0 citations
Preprint Aug 2026

What Guides the Agent? Adjudicating Unauthorized Behavior via Localizing Behavior-Guiding Instructions

This work proposes Attnlocate, a runtime framework for fine-grained localization of context spans that genuinely influence tool-calling decisions, i.e., behavior-guiding instructions, and designs a multi-head, multi-layer attention aggregation scheme to construct a token-level feature space tailored for object detectio...

Yi-Chao Gao, Yumo Zhang, Yunhao Yao et al. · 1 citation
Preprint Aug 2026

Coverage-Driven Adaptive Keyframe Selection for Video Understanding

CSES is a training-free semantic keyframe selector that adaptively determines the numbers of frames to score and keyframes to select that formulates keyframe selection as a coverage problem that jointly accounts for semantic relevance, temporal redundancy, and visual redundancy.

Jun-Yang Zhang, Pu-Han Luo, Chenyu Tang et al. · 1 citation

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