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Xuan-Yi Liu

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Preprint Sep 2026

MindWorldBench: Evaluating Mental-State-to-Behavior Reasoning in Image-to-Video Generation

Current image-to-video models achieve visual realism and physical plausibility, but reasoning about mental states remains unexplored. Actions are driven by belief, desire, and perception, requiring inference beyond explicit instructions. We introduce MindWorldBench to evaluate mental-state-conditioned video generation....

Rui-Qi Li, Xuan-Yi Liu, Si-Jia Li et al. · 0 citations
#artificial intelligence Preprint Sep 2026

TriWorldBench: A Tri-View Consistency Perspective on Embodied World Models

TRWORLDBENCH is introduced, a benchmark for evaluating embodied world models through synchronized head, left-wrist, and right-wrist videos and uses 19 metrics to assess tri-view consistency, task alignment, physical and 3D coherence, motion quality, temporal consistency, and visual quality.

Xuan-Yi Liu, Hao-Feng Wang, Rui-Qi Li et al. · 0 citations
Jul 2026

MoWorld: A Flash World Model

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. · 1 citation

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