Author

Pu-Han Luo

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#small language model Oct 2026

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. · IEEE Transactions on Mobile... · 0 citations

Preprint Aug 2026

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

LLM agents integrated with external resources gain complex task capabilities, yet the unified natural-language context channel makes them vulnerable to injection attacks: untrusted external data may be dynamically parsed as behavior-guiding instructions during LLM inference, thereby subverting the agent's decision. Exi...

Yichao Gao, Yumo Zhang, Yunhao Yao et al. · 1 citation

Preprint Aug 2026

Coverage-Driven Adaptive Keyframe Selection for Video Understanding

Recent advances in large vision-language models (LVLMs) have enabled long-video understanding and analysis. However, processing the large number of frames in a video incurs substantial computational overhead. Existing methods reduce LVLM inference costs by scoring frame-query relevance before inference and selecting ke...

Jun-Yang Zhang, Pu-Han Luo, Chenyu Tang et al. · 0 citations