世界模型

Beyond World Models: Rethinking Understanding in AI Models

Tarun Gupta, Danish Pruthi

专题命中 通用世界模型 ：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted to AAAI 2026 (Main Track)

PAN: A World Model for General, Interactable, and Long-Horizon World Simulation

PAN Team, Jiannan Xiang, Yi Gu, Zihan Liu, Zeyu Feng, Qiyue Gao, Yiyan Hu, Benhao Huang, Guangyi Liu, Yichi Yang, Kun Zhou, Davit Abrahamyan, Arif Ahmad, Ganesh Bannur, Junrong Chen, Kimi Chen, Mingkai Deng, Ruobing Han, Xinqi Huang, Haoqiang Kang, Zheqi Liu, Enze Ma, Hector Ren, Yashowardhan Shinde, Rohan Shingre, Ramsundar Tanikella, Kaiming Tao, Dequan Yang, Xinle Yu, Cong Zeng, Binglin Zhou, Zhengzhong Liu, Zhiting Hu, Eric P. Xing

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；world models(abstract)；world models(abstract)

SparseWorld: A Flexible, Adaptive, and Efficient 4D Occupancy World Model Powered by Sparse and Dynamic Queries

Chenxu Dang, Haiyan Liu, Jason Bao, Pei An, Xinyue Tang, PanAn, Jie Ma, Bingchuan Sun, Yan Wang

机构 * AIR 纠错

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；world models(abstract)；world models(abstract)

Comments Accepted by AAAI2026 Code: https://github.com/MSunDYY/SparseWorld

PragWorld: A Benchmark Evaluating LLMs' Local World Model under Minimal Linguistic Alterations and Conversational Dynamics

Sachin Vashistha, Aryan Bibhuti, Atharva Naik, Martin Tutek, Somak Aditya

专题命中 通用世界模型 ：world model(title,abstract)；world model(title,abstract)；分类 cs.AI

Comments 23 pages, 15 tables, 10 figures; AAAI 2026 Conference Main Track (oral)

Mind the Gap: Revealing Inconsistencies Across Heterogeneous AI Accelerators

Elliott Wen, Sean Ma, Ewan Tempero, Jens Dietrich, Daniel Luo, Jiaxing Shen, Kaiqi Zhao, Bruce Sham, Yousong Song, Jiayi Hua, Jia Hong

机构 * The University of Auckland（奥克兰大学） ； Hong Kong Polytechnic University（香港Polytechnic大学） ； Victoria University of Wellington（但尼丁维多利亚大学） ； Harbin Institute of Technology（哈尔滨工业大学） ； Lingnan University（岭大大学） 纠错

专题命中 通用世界模型 ：world model(abstract)；world models(abstract)；world model(abstract)；world models(abstract)

Competence-Aware AI Agents with Metacognition for Unknown Situations and Environments (MUSE)

Rodolfo Valiente, Praveen K. Pilly

机构 * Intelligent Systems Center, HRL Laboratories（智能系统中心，HRL实验室） 纠错

专题命中 通用世界模型 ：world model(abstract)；world model(abstract)；model-based reinforcement learning(abstract)；分类 cs.AI、cs.LG

Comments Replaced all references to "self-awareness" with the more accurate term "self-assessment"; Updated Figure 2; Added recent pertinent work from the cognitive computational neuroscience literature; Removed the non-apples-to-apples comparison with Dreamer-v3 for self-assessment; Added additional experiments to validate the role of accurate self-assessment in effective self-regulation

An Operational Kardashev-Style Scale for Autonomous AI - Towards AGI and Superintelligence

Przemyslaw Chojecki

专题命中 通用世界模型 ：world-model(abstract)；world-model(abstract)；分类 cs.AI

A predictive model for bubble-particle collisions in turbulence

Timothy T. K. Chan, Linfeng Jiang, Dominik Krug

专题命中 通用世界模型 ：predictive model(title,abstract)；predictive models(abstract)

Comments 38 pages, 14 figures

Journal ref Chem. Eng. Sci. 321 (2026), 122850

LinkedIn Profile Characteristics and Professional Success Indicators

Tania-Amanda Fredrick Eneye, Ashlesha Malla, Pawan Paudel

机构 * Texas Tech University（德克萨斯科技大学） 纠错

专题命中 通用世界模型 ：分类 cs.AI、cs.LG；predictive model(abstract)；predictive models(abstract)

CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving

Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, XianPeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu

机构 * Li Auto Inc. ； Autolab, Westlake University（Autolab，西lake大学） 纠错

专题命中 自动驾驶 ：world model(abstract)；world models(abstract)；world model(abstract)；world models(abstract)

Beyond Observations: Reconstruction Error-Guided Irregularly Sampled Time Series Representation Learning

Jiexi Liu, Meng Cao, Songcan Chen

专题命中 模型式强化学习 ：latent dynamics(abstract)；分类 cs.LG

Comments Accepted by AAAI 2026

Uncertainty Quantification for Reduced-Order Surrogate Models Applied to Cloud Microphysics

Jonas E. Katona, Emily K. de Jong, Nipun Gunawardena

机构 * Department of Applied & Computational Mathematics（应用与计算数学系） ； Yale University（耶鲁大学） ； Atmospheric, Earth, & Energy Division（大气、地球与能源部门） ； Lawrence Livermore National Laboratory（劳伦斯利弗莫尔国家实验室） 纠错

专题命中 模型式强化学习 ：latent dynamics(abstract)；分类 cs.LG

Comments Accepted at the NeurIPS 2025 Workshop on Machine Learning and the Physical Sciences (ML4PS). 12 pages, 3 figures, 2 tables. LLNL-CONF-2010541

Cognitive Maps in Language Models: A Mechanistic Analysis of Spatial Planning

Caroline Baumgartner, Eleanor Spens, Neil Burgess, Petru Manescu

机构 * University College London（伦敦大学学院） ； University of Oxford（牛津大学） 纠错

专题命中 仿真与规划 ：world model(abstract)；world models(abstract)；world model(abstract)；world models(abstract)