arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

University of Cambridge(剑桥大学)

2025-12-10 至 2025-12-10 共收录 3
2512.08820 2025-12-10 cs.CV cs.AI

Training-Free Dual Hyperbolic Adapters for Better Cross-Modal Reasoning

无需训练的双双曲适配器用于更高效的跨模态推理

Yi Zhang, Chun-Wun Cheng, Junyi He, Ke Yu, Yushun Tang, Carola-Bibiane Schönlieb, Zhihai He, Angelica I. Aviles-Rivero

机构 * College of Computer Science and Software Engineering, Shenzhen University(深圳大学计算机科学与软件工程学院) Department of Electrical and Electronic Engineering, Southern University of Science and Technology(南方科技大学电子与电气工程系) Department of Applied Mathematics and Theoretical Physics, University of Cambridge(剑桥大学应用数学与理论物理系) Yau Mathematical Sciences Center, Tsinghua University(清华大学应用数学中心)

AI总结 本文提出无需训练的双双曲适配器方法,通过双曲空间嵌入提升跨模态推理性能,实现更高效的领域泛化和少样本识别。

Comments Accepted in IEEE Transactions on Multimedia (TMM)

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2502.03544 2025-12-10 cs.AI cs.LG

Gold-medalist Performance in Solving Olympiad Geometry with AlphaGeometry2

在解决奥数几何问题上超越金牌得主的AlphaGeometry2

Yuri Chervonyi, Trieu H. Trinh, Miroslav Olšák, Xiaomeng Yang, Hoang Nguyen, Marcelo Menegali, Junehyuk Jung, Junsu Kim, Vikas Verma, Quoc V. Le, Thang Luong

机构 * Google DeepMind(谷歌DeepMind) University of Cambridge(剑桥大学) Georgia Institute of Technology(佐治亚理工学院) Brown University(布朗大学) Seoul National University(首尔国立大学)

AI总结 AlphaGeometry2通过改进的语言模型和知识共享机制,显著提升了解决几何问题的能力,达到超越金牌得主的水平,并推动了自动系统在几何问题解决中的应用。

Comments 28 pages, 16 figures. V2: Clarified abstract, rewritten introduction, updated results on diagram generation, added acknowledgement section. V3: Added clarifications and a new section "Inequality rules", re-organized sections, added code link, now 34 pages

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2408.03463 2025-12-10 stat.ME cs.AI

Identifying treatment response subgroups in observational time-to-event data

在观察性时间到事件数据中识别治疗反应亚组

Vincent Jeanselme, Chang Ho Yoon, Fabian Falck, Brian Tom, Jessica Barrett

机构 * University of Cambridge(剑桥大学) The Alan Turing Institute(艾伦·图灵研究所) University of Oxford(牛津大学)

AI总结 本文提出了一种基于结果导向的亚组分析策略,用于在随机对照试验和观察性研究中识别治疗反应不同的患者亚组,从而提升医疗决策的精准性。

Comments Presented at ML4H 2025

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