While recent video generation models synthesize highly realistic visuals, they lack a genuine understanding of intrinsic real-world logic. Existing methods attempt to understand the world by internalizing diverse world knowledge, yet constrained by computational overhead or dimensionality alignment, their learning proc...
Bo Tan, Xiang-Dong Zhang, Yan Xia et al.· 0 citations
Hallucination remains a significant challenge in Large Vision-Language Models (LVLMs). Existing training-free methods generally mitigate hallucinations through contrastive decoding or visual enhancement, often increasing the relative influence of visual evidence during generation. This raises a fundamental question: Ca...
Shu-Ran Ma, Jia-Le Li, Yu-Xi Dong et al.· 0 citations
A rejudge protocol is introduced that extends direct contradiction with decision-boundary perturbations and adversarial rationales to address the susceptibility of initially correct model judgments to annotator-style rebuttals and whether attack effectiveness differs across manipulation directions.
Junyu Lu, Kaiyuan Liu, Kai-Chun Wang et al.· 0 citations
MoWorld is the first real-time interactive World Model built on the Neural Processing Unit (NPU) and can achieves up to 50 FPS in such the devices, enabling practical and efficient deployment at scale.
Team Moxin, Deyi Ji, Tianrun Chen et al.· arXiv.org· 1 citation
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