Author

Zi-Jian Wen

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Preprint Aug 2026

GSTEP: Global Spatio-Temporal Density-Driven Visual Token Pruning for Efficient Video Large Language Models

Video large language models (VideoLLMs) achieve strong video understanding performance, but their inference remains expensive due to the large number of redundant spatio-temporal visual tokens in long videos. Existing token pruning methods alleviate this cost by reducing redundant tokens, yet most of them rely on segme...

Meng-Jie Zhang, Qi-Hui Zhu, Tao Zhang et al. · 0 citations

Jul 2026

RP-OPSD: Resolution-Privileged On-Policy Self-Distillation for Multimodal Large Language Models

It is demonstrated that resolution differences can serve as a simple and scalable source of privileged information, providing an effective and efficient approach to on-policy self-distillation for multimodal large language models.

Qihui Zhu, Yucheng Wang, Zi-Jian Wen et al. · arXiv.org · 0 citations

Conference Open access 2026

SpecCache: Speculative KV Cache Reuse for Efficient RAG Serving

This work finds that the deep-layer features of a lightweight speculative model exhibit strong consistency with the target model in the selection of critical tokens for recomputation, and proposes SpecCache, which employs deep-layer hidden-state norms from a speculative model as a proxy to guide the critical token sele...

Zijian Wen, Tao Zhang, Shuangwu Chen et al. · Annual Meeting of the Associ... · 1 citation