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cs.CV2026

WorldExam: Benchmarking World Models from Apparent Appearance to Inherent Reactivity

Yuxue Yang, Shuyao Shang, Jiahe Wang +13

Controllable video generation models are increasingly being developed as world models. Accordingly, evaluating them in this role extends beyond the apparent appearance of generated…

cs.LG2026

Self-Evolving Just-In-Time Memory for Proactive Embodied Safety

Bingrui Sima, Lizhong Wang, Xiaoya Lu +2

While Vision-Language Models (VLMs) have empowered embodied agents to execute complex household tasks, they struggle to proactively handle dynamically emerging hazards during close…

cs.RO2026

PACT: Self-Evolving Physical Safety Alignment for Diffusion Policies in Embodied Manipulation

Lingxuan Wu, Zijian Zhu, Lizhong Wang +5

Diffusion policies have achieved remarkable success in robotic manipulation, yet they often fail to satisfy strict physical constraints required for safe deployment. Existing appro…

cs.CV2026

FiberTune: Preserving Action-Fiber Visual Residuals in Vision-Language-Action Fine-Tuning

Haihao Lin, Xiangsheng Huang, Xiao Yang +7

Action-supervised fine-tuning of vision-language-action (VLA) policies can compress visual structure that is weakly constrained by the action objective. We formalize this as residu…

cs.CV2026

minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models

Min Zhao, Hongzhou Zhu, Bokai Yan +13

Recent video diffusion foundation models have achieved remarkable progress in high-quality video generation, yet turning them into real-time interactive video world models remains…

cs.CV2026

LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model

Jiachun Jin, Zetong Zhou, Xiao Yang +4

Unified models (UMs) hold promise for their ability to understand and generate content across heterogeneous modalities. Compared to merely generating visual content, the use of UMs…