Author

Shenghao Ye

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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

#artificial intelligence May 2026

Rubric-Guided Process Reward for Stepwise Model Routing

Ro is proposed, a rubric-guided process reward framework for stepwise model routing that consistently outperforms strong baselines and achieves better accuracy and cost trade-offs.

Sheng-Hao Ye, Yu Guo, Zheng-Heng Li et al. · arXiv.org · 2 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