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Cheng-Zhong Xu

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#artificial intelligence Preprint Oct 2026

Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System

Large vision-language models (VLMs) provide powerful open-world perception and reasoning for autonomous driving, but their high computational cost and inference latency make continuous cloud-side use impractical. This motivates fast--slow collaboration, where efficient onboard modules handle real-time perception and co...

Jia-Yi Chen, Shuai Wang, Guang-Xu Zhu et al. · 0 citations

Memory-Native Non-Terrestrial Networks for Embodied Intelligence

This paper proposes the memory-native NTN (Mem-NTN) paradigm that leverages long-horizon contexts for memory-augmented system optimization and establishes a dual-memory architecture that distinguishes between physical memory representing the state of the world and digital memory encoding historical network experience.

Chengyang Li, Yi-Kun Wang, Jia-Hui He et al. · 0 citations

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