3 papers
cs.RO2026
One Agent to Guide Them All: Empowering MLLMs for Vision-and-Language Navigation via Explicit World Representation
Zerui Li, Hongpei Zheng, Fangguo Zhao +5
A navigable agent needs to understand both high-level semantic instructions and precise spatial perceptions. Building navigation agents centered on Multimodal Large Language Models…
cs.RO2025
Decoupled Action Expert: Confining Task Knowledge to the Conditioning Pathway
Jian Zhou, Sihao Lin, Shuai Fu +3
Many recent Vision-Language-Action models employ diffusion or flow-matching backbones with hundreds of millions of parameters for action generation. However, unlike image synthesis…
cs.CV2025
Counting Hallucinations in Diffusion Models
Shuai Fu, Jian Zhou, Qi Chen +7
Diffusion probabilistic models (DPMs) have demonstrated remarkable progress in generative tasks, such as image and video synthesis. However, they still often produce hallucinated s…