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cs.AI2026
SPACENUM: Revisiting Spatial Numerical Understanding in VLMs
Jianshu Zhang, Yijiang Li, Huifeixin Chen +4
Vision-Language Models (VLMs) are increasingly deployed in embodied environments, where they need produce numerical outputs such as action magnitudes and spatial coordinates. Altho…
cs.AI2026
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
Haoran Lu, Luyang Fang, Wenxuan Zhong +1
Multi-agent language systems are often built as hand-designed workflows, where agents are assigned semantic roles and communication protocols are specified in advance. We propose N…