Generating Symbolic World Models via Test-time Scaling of Large Language Models

作者：作者信息待提取 · 单位：The Chinese University of Hong Kong, Hong Kong University of Science and Technology, Max Planck Institute for Intelligent Systems, Tübingen, Environmental Systems Research Institute, Shanghai Artificial Intelligence Laboratory · 来源：General Approaches to World Models · 发布日期：2025 · 分类：4. Building World Models from Language Priors / Symbolic World Models