TimeSpot: Benchmarking Geo-Temporal Understanding in Vision-Language Models in Real-World Settings
TimeSpot: 在真实世界场景中评估视觉语言模型的地理时间理解能力
Azmine Toushik Wasi, Shahriyar Zaman Ridoy, Koushik Ahamed Tonmoy, Kinga Tshering, S. M. Muhtasimul Hasan, Wahid Faisal, Tasnim Mohiuddin, Md Rizwan Parvez
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Computational Intelligence and Operations Laboratory (CIOL), Bangladesh(计算智能与运筹实验室(CIOL),孟加拉国)
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Shahjalal University of Science and Technology (SUST), Sylhet, Bangladesh(沙赫jalal科学与技术大学(SUST),沙赫里尔,孟加拉国)
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North South University (NSU), Dhaka, Bangladesh(北南大学(NSU),达卡,孟加拉国)
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Qatar Computing Research Institute (QCRI), Doha, Qatar(卡塔尔计算研究中心(QCRI),多哈,卡塔尔)
机构
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City University of Hong Kong
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Tencent
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Institute of Artificial Intelligence (TeleAI), China Telecom
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Institute of Automation, Chinese Academy of Sciences. Corresponding Author
T2S-MPC: Time-Embedded Online Adaptive Model Predictive Control for Time-Varying Dynamics
T2S-MPC:面向时变动力学的时间嵌入在线自适应模型预测控制
Zeyu Shen, Zhuoyuan Wang, Laixi Shi
机构
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JHU Department of Applied Mathematics and Statistics, Johns Hopkins University, MD, USA(约翰霍普金斯大学应用数学与统计学系)
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CMU Department of Electrical and Computer Engineering, Carnegie Mellon University, PA, USA(卡内基梅隆大学电气与计算机工程系)
机构
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Fudan University(复旦大学)
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Alibaba Group(阿里巴巴集团)
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The University of Hong Kong(香港大学)
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Shenzhen MSU-BIT University(深圳MSU-BIT大学)
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New York University(纽约大学)
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Universiti Malaya(马来亚大学)
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SpaceAIC Co., Ltd.(SpaceAIC公司)
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Computer Aided Medical Procedures (CAMP)(计算机辅助医疗程序)
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TU Munich, Germany(慕尼黑工业大学,德国)
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Munich Center for Machine Learning (MCML)(慕尼黑机器学习中心)
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Munich, Germany(慕尼黑,德国)
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Zhongshan Hospital, Fudan University, China(复旦大学中山医院)
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The University of Hong Kong, Hongkong, China(香港大学,香港,中国)
Variance-Reduced Manifold Sampling via Polynomial-Maximization Density Estimation
通过多项式最大化密度估计的方差缩减流形采样
Serhii Zabolotnii
机构
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Department of Information, Multimedia Technologies and Design, Cherkasy State Business College(切爾卡西州商業學院信息、多媒體技術與設計系)
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State Scientific Research Institute of Armament and Military Equipment Testing and Certification(武器和軍事設備測試和認證國家科學研究 institutes)
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Department of Cybernetics and Applied Mathematics, Uzhhorod National University(烏茲霍羅德國家大學自動控制與應用數學系)
Teaching large language models to reason like expert diagnosticians
教会大型语言模型像专家诊断医生一样推理
Thomas A. Buckley, Riccardo Conci, Peter G. Brodeur, Jason Gusdorf, Sourik Beltrán, Bita Behrouzi, Byron Crowe, Jacob Dockterman, Muzzammil Muhammad, Sarah Ohnigian, Andrew Sanchez, James A. Diao, Aashna P. Shah, Daniel Restrepo, Eric S. Rosenberg, Andrew S. Lea, Emily Glanton, Kimberly LeBlanc, Undiagnosed Diseases Network, Marinka Zitnik, Scott H. Podolsky, Zahir Kanjee, Raja-Elie E. Abdulnour, Jacob M. Koshy, Adam Rodman, Arjun K. Manrai
机构
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Department of Biomedical Informatics, Harvard Medical School(哈佛医学院生物医学信息学系)
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Department of Medicine, Beth Israel Deaconess Medical Center(贝塞斯达医院内科部)
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The Mongan Institute, Massachusetts General Hospital(麻省总医院蒙根研究所)
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Division of Gastroenterology, Brigham and Women’s Hospital(布里洛妇女医院胃肠病科)
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Department of Medicine, Brigham and Women’s Hospital(布里洛妇女医院内科部)
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Department of Medicine, Massachusetts General Hospital(麻省总医院内科部)
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Department of Pathology, Massachusetts General Hospital(麻省总医院病理学部)
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Department of Health Humanities and Bioethics, University of Rochester School of Medicine and Dentistry(罗切斯特大学医学院和牙科学院健康人文与生物伦理学部)
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Kempner Institute for the Study of Natural and Artificial Intelligence, Harvard University(哈佛大学凯普纳人工智能研究所)
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Center for the History of Medicine, Countway Library of Medicine, Harvard Medical School(哈佛医学院医学史中心,考特维图书馆)
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Department of Global Health and Social Medicine, Harvard Medical School(哈佛医学院全球健康与社会医学部)
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Division of Pulmonary and Critical Care Medicine, Brigham and Women’s Hospital(布里洛妇女医院呼吸科和重症医学科)
专题命中
规划决策
:agentic(abstract);分类 cs.AI
AI总结
提出 Dr. CaBot 代理 AI 系统,通过生成基于初始病例描述的幻灯片演示来模拟专家诊断推理,并在 NEJM CPC 和 NIH 未诊断疾病网络病例上取得优于前沿模型的表现,同时发布 CPC-Bench 基准以促进临床 AI 发展。
CommentsPublished in IEEE Robotics and Automation Letters, vol 11, no 2. Presented at the IEEE International Conference on Robotics and Automation 2026
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Research and Development Department Owtana Tech- Turin, Italy(Owtana科技研发部,意大利都灵)
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Department of Energy Politecnico di Torino- Turin, Italy(都灵理工学院能源部,意大利都灵)
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Department of Energy University of Tehran- Tehran, Iran(伊朗德黑兰大学能源部,伊朗德黑兰)
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Department of Energy Sharif University of Technology- Tehran, Iran(伊朗谢赫大学能源部,伊朗德黑兰)
Optimizing Digital Therapeutic Interventions: Online Learning under Endogenous Adherence
优化数字治疗干预:内源性依从性下的在线学习
Eric Pulick, Stephanie Carpenter, Matthew Buman, Yonatan Mintz
机构
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Department of Industrial and Systems Engineering, University of Wisconsin-Madison(威斯康星大学麦迪逊分校工业与系统工程系)
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College of Health Solutions, Arizona State University(亚利桑那州立大学健康解决方案学院)
CommentsWithdrawn by the authors because the current version requires substantial revision in the description of the experimental settings and data preprocessing procedures. The manuscript should not be cited in its current form
Dynamic Neural Koopman Distillation for Real-Time Robot Control Using Diffusion Models
动态神经Koopman蒸馏:基于扩散模型的实时机器人控制
Lei Zheng, Peiqi Yu, Zengqi Peng, Changliu Liu, Armin Lederer
机构
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Department of Electrical and Computer Engineering, National University of Singapore(国立新加坡大学电子与计算机工程系)
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Department of Electrical and Computer Engineering, Carnegie Mellon University(卡内基梅隆大学电子与计算机工程系)
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Robotics and Autonomous Systems Thrust, The Hong Kong University of Science and Technology(香港科学与技术大学机器人与自主系统方向)