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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Yuan Shen

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Preprint Sep 2026

Task-Oriented Visual Feature Compression via Residual Vector Quantization for Device-Edge Multimodal Inference

Large multimodal models (LMMs) support diverse visual understanding and reasoning tasks but are often impractical to run entirely on resource-constrained devices. Device-edge co-inference reduces device computation, yet transmitting visual data over bandwidth-limited uplinks can introduce substantial delay. Task-orient...

Lu-Ning Pang, Cheng Yuan, Jia-Wei Shao et al. · 0 citations
Preprint Aug 2026

Token Communication for Multimodal Large Language Model

This paper investigates how to reduce the amount of transmitted data during interactions with MLLMs while preserving their multimodal understanding performance, and proposes a token communication framework tailored to MLLMs.

Jing-Kai Ying, Zhi-Jin Qin, Yuan Shen et al. · 0 citations
Preprint Aug 2026

MDGAM-Based Cooperative Task Scheduling for Communication-Constrained Distributed Multi-Agent Systems

A neural scheduling framework for distributed multi-robot task allocation, consisting of a multi-decoder graph attention model (MDGAM) policy model and a critic-free group relative multi-agent policy gradient (GRMAPG) training algorithm, which improves task-completion performance over existing heuristic and learning-ba...

Licheng Wang, Ming-Tao Huang, Yuan Shen · 0 citations

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