Author

Yi-Zhou Zhao

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Preprint Oct 2026

PhySimCode: A Benchmark and Evaluation Method for Physics Video to Code Generation

Multimodal large language models (MLLMs) are good at video understanding and code generation, but it remains unclear whether they can recover the physical laws underlying videos, a capability essential for converting videos into executable simulations and for providing structured physical supervision in robotics. Capti...

Souraja Kundu, A. Gupta, Joel Julin et al. · 0 citations

Preprint Oct 2026

Remembering What Matters for Long-Horizon Robotic World Models

Autoregressive robot video world models based on discrete visual tokens remain unreliable over long rollout horizons. Retaining the entire generated history does not necessarily improve prediction quality. We investigate a possible memory-role conflict in Full Context decoding: persistent scene information, recent visu...

Hao Wu, Tian-Yu Shao, Sheng-Ju Qian et al. · 0 citations

Jul 2026

O-VAD: Industrial Video Anomaly Detection through Object-Centric Tracking and Reasoning

Industrial Video Anomaly Detection (IVAD) aims to identify anomalous objects and events in an industrial process, which is crucial for modern manufacturing and quality control systems. Existing VLM-based anomaly reasoning methods are capable of detecting open-ended anomalies in general domains. However, their performan...

Mei Yuan, Qi Long, Qifeng Wu et al. · arXiv.org · 0 citations