Are Video Models Ready as Zero-Shot Reasoners? An Empirical Study with the MME-CoF Benchmark
机构 * CUHK(香港中文大学) ; IMIXR ; MMLab ; Peking University(北京大学) ; Northeastern University(东北大学)
Comments Project Page: https://video-cof.github.io
高校专区
机构 * CUHK(香港中文大学) ; IMIXR ; MMLab ; Peking University(北京大学) ; Northeastern University(东北大学)
Comments Project Page: https://video-cof.github.io
机构 * University of California Santa Cruz(加州大学圣克ruz分校) ; Northeastern University(东北大学) ; Accenture(Accenture公司)
Comments NeurIPS 2025
机构 * Northeastern University(东北大学) ; Stanford University(斯坦福大学)
机构 * Northeastern University(东北大学) ; Columbia University(哥伦比亚大学)
Comments Jiachen Li, Xiwen Li, Justin Steinberg, Akshat Choube, Bingsheng Yao, Xuhai Xu, Dakuo Wang, Elizabeth Mynatt, and Varun Mishra. 2025. Vital Insight: Assisting Experts' Context-Driven Sensemaking of Multi-modal Personal Tracking Data Using Visualization and Human-in-the-Loop LLM. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9, 3, Article 101 (September 2025), 37 pages
Journal ref Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 9 (2025) 101:1-37