Skip to content

Author

Ming-Sheng Long

We have 2 of 9 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#artificial intelligence Preprint Sep 2026

PhysFieldBench: Can Multimodal Models Understand Physical Fields?

PhysFieldBench is introduced, a benchmark comprising 24 tasks and 1,160 evaluation examples across controlled equation fields, simulated physical fields, and observed physical fields that highlights the need to improve visual-to-physical grounding and cross-task generalization for MLLMs to reliably interpret physical f...

Yue-Zhou Ma, Hui-Kun Weng, Jialong Wu et al. · 0 citations
Preprint Aug 2026

Code as Worlds: Agentic Discovery of Executable World Representations for Physical Reasoning

Experiments show that Code-as-World-VL achieves state-of-the-art performance on QuantiPhy and surpasses leading proprietary models, highlighting the potential of executable world representations as a scalable foundation for physical intelligence.

Han-Yang Wang, Yiyang Cai, Weiliang Chen et al. · 4 citations · ⚡1

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.