2 papers
cs.AI2026
How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace
Baining Zhao, Ziyou Wang, Jianjie Fang +8
Large multimodal models (LMMs) show strong visual-linguistic reasoning but their capacity for spatial decision-making and action remains unclear. In this work, we investigate wheth…
cs.MA2026
Scalable UAV Multi-Hop Networking via Multi-Agent Reinforcement Learning with Large Language Models
Yanggang Xu, Jirong Zha, Weijie Hong +5
In disaster scenarios, establishing robust emergency communication networks is critical, and unmanned aerial vehicles (UAVs) offer a promising solution to rapidly restore connectiv…