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About

Jingtao Ding is an emerging researcher whose work sits at the forefront of artificial intelligence, with a particular focus on world models and their relationship to artificial general intelligence (AGI). His most prominent contribution is a comprehensive survey titled "Understanding World or Predicting Future? A Comprehensive Survey of World Models," which has rapidly garnered 28 citations since its 2025 publication — a testament to the timeliness and relevance of the work. This survey systematically examines how cutting-edge multimodal large language models, such as GPT-4, and video generation systems, such as Sora, are reshaping our understanding of world modeling as a pathway toward AGI. Ding's research addresses one of the most fundamental questions in modern AI: whether intelligent systems should prioritize understanding the world as it is, or predicting how it will unfold. By mapping the landscape of world model architectures and their applications, his work provides an invaluable reference point for researchers navigating this rapidly evolving field. His ability to synthesize complex, interdisciplinary literature into accessible frameworks makes his scholarship especially valuable for students and practitioners working at the intersection of generative AI, cognitive modeling, and machine learning.