Author

Yunpeng Hou

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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

#natural language process... Preprint Sep 2026

LatCom: Cross-Agent Latent Compression for Efficient Multi-Agent Collaboration

LLM-based multi-agent systems (MAS) increasingly use latent collaboration to avoid the information loss and repeated encoding-decoding overhead of natural-language communication. However, directly forwarding all sender latents makes the receiver-side context scale with both the number of agents and the reasoning length...

Shi-Nan Zhang, Tao Zhang, Qi-Hui Zhu et al. · 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