arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Harvard University(哈佛大学)

2026-05-25 至 2026-05-25 共收录 9
2605.07919 2026-05-25 cs.CV

MedVIGIL: Evaluating Trustworthy Medical VLMs Under Broken Visual Evidence

MedVIGIL: 在视觉证据受损下评估可信的医学视觉语言模型

Hanqi Jiang, Junhao Chen, Mingyu Kang, Hyeokjae Kwon, Yi Pan, Lifeng Chen, Weihang You, Haozhen Gong, Ruiyu Yan, Jinglei Lv, Lin Zhao, Hui Ren, Quanzheng Li, Tianming Liu, Xiang Li

机构 * University of Georgia(佐治亚大学) Harvard Medical School(哈佛医学院) Chungbuk National University(Chungbuk国立大学) Chungnam National University Hospital(Chungnam国立大学医院) National University of Singapore(新加坡国立大学) New York University(纽约大学) University of Sydney(悉尼大学) New Jersey Institute of Technology(新泽西理工学院)

AI总结 本文提出MedVIGIL基准,通过300例由放射科医生监督构建的扰动证据测试集,评估医学视觉语言模型在视觉证据失效时的可靠性,并引入MedVIGIL复合评分(MCS)进行审计。

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2502.20349 2026-05-25 q-bio.NC cs.AI

Naturalistic Computational Cognitive Science: Towards generalizable models and theories that capture the full range of natural behavior

自然主义计算认知科学:迈向能够捕捉自然行为全范围的通用模型与理论

Wilka Carvalho, Andrew Lampinen

机构 * Kempner Institute for the Study of Natural and Artificial Intelligence(Kempner自然与人工智能研究学院) Harvard University(哈佛大学) Google DeepMind(谷歌DeepMind)

AI总结 本文主张通过整合人工智能与认知科学,采用自然主义实验范式与计算模型,以构建能够泛化至自然情境与行为的通用理论。

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2605.23672 2026-05-25 cs.CV

RiGS: Rigid-aware 4D Gaussian Splatting from a Single Monocular Video

RiGS: 从单目视频中的刚性感知4D高斯泼溅

Chenyu Wu, Wanhua Li, Zhu-Tian Chen, Hanspeter Pfister

机构 * Harvard University(哈佛大学) Zhejiang University(浙江大学) Nanyang Technological University(南洋理工大学) University of Minnesota - Twin Cities(明尼苏达大学-双城分校)

AI总结 提出RiGS,通过静态、刚性和瞬态三种高斯原语分别建模不同时间尺度的运动,并利用目标动态掩码和场景流引导实现单目视频动态场景重建,在新视角合成任务上达到最优性能。

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2605.23287 2026-05-25 cs.CV

LangFlash: Feed-forward 3D Language Gaussian Splatting from Sparse Unposed Images

LangFlash: 基于前馈的3D语言高斯泼溅从稀疏无位姿图像

Yilong Liu, Wanhua Li, Chen Zhu-Tian, Hanspeter Pfister

机构 * Harvard University(哈佛大学) Nanyang Technological University(南洋理工大学) Tsinghua University(清华大学) University of Minnesota - Twin Cities(明尼苏达大学-双城分校)

AI总结 提出LangFlash,一种前馈框架,从稀疏无位姿多视图图像直接预测3D高斯原语及其语言对齐语义特征,实现低延迟3D重建和语义一致场景理解。

Comments CVPRF 2026

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2605.23262 2026-05-25 cs.AI

Design and Report Benchmarks for Knowledge Work

知识工作的设计与报告基准

Yining Hua, Hongbin Na, Cyrus Ayubcha, Levi Lian

机构 * Harvard University(哈佛大学) University of Technology Sydney(悉尼科技大学) Stanford University(斯坦福大学) Raycaster AI

AI总结 针对当前知识工作评估基准与真实部署脱节的问题,提出三步法(定义工作活动、指定测试设置、评分工作产品)来明确基准任务与工作主张的对应关系,并通过三个案例分析展示设计选择如何影响可支持的工作主张。

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2605.23134 2026-05-25 cs.LG

Archimedean Copula Inference via Taylor-Mode AD

通过泰勒模式自动微分进行阿基米德Copula推断

Cambridge Yang, Dongdong Li

机构 * Cambridge Yang(剑桥阳) Harvard Medical School(哈佛医学院)

AI总结 提出一个JAX原生框架acopula,利用泰勒模式自动微分实现任意阿基米德生成元下的嵌套Copula精确似然和参数梯度计算,支持高维、任意删失和任意嵌套树,并在多个实际数据集上验证了正确性和效率。

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2605.23103 2026-05-25 cs.CL cs.AI cs.CY cs.DB

A Fine-Tuned BERT Classifier for Personal-Letter Titles in Late-Ming and Early-Qing Collected Works

用于明清之际文集中个人书信标题的微调BERT分类器

Queenie Luo

机构 * Harvard University(哈佛大学)

AI总结 提出Lepton模型,通过微调BERT-base-chinese对明清文集目录中的标题进行分类,区分个人书信与易混淆的序文,已应用于中国传记数据库识别约五万五千封书信。

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2604.11679 2026-05-25 cs.CV

Towards Brain MRI Foundation Models for the Clinic: Findings from the FOMO25 Challenge

面向临床的大脑MRI基础模型:来自FOMO25挑战赛的发现

Asbjørn Munk, Stefano Cerri, Vardan Nersesjan, Christian Hedeager Krag, Jakob Ambsdorf, Pablo Rocamora García, Julia Machnio, Peirong Liu, Suhyun Ahn, Nasrin Akbari, Yasmina Al Khalil, Kimberly Amador, Sina Amirrajab, Tal Arbel, Meritxell Bach Cuadra, Ujjwal Baid, Bhakti Baheti, Jaume Banus, Kamil Barbierik, Christoph Brune, Yansong Bu, Baptiste Callard, Yuhan Chen, Cornelius Crijnen, Corentin Dancette, Peter Drotar, Prasad Dutande, Nils D. Forkert, Saurabh Garg, Jakub Gazda, Matej Gazda, Benoît Gérin, Partha Ghosh, Weikang Gong, Pedro M. Gordaliza, Sam Hashemi, Tobias Heimann, Fucang Jia, Jiexin Jiang, Emily Kaczmarek, Chris Kang, Seung Kwan Kang, Mohammad Khazaei, Julien Khlaut, Petros Koutsouvelis, Jae Sung Lee, Yuchong Li, Mengye Lyu, Mingchen Ma, Anant Madabhushi, Klaus H. Maier-Hein, Pierre Manceron, Andrés Martínez Mora, Moona Mazher, Felix Meister, Nataliia Molchanova, Steven A. Niederer, Leonard Nürnberg, Jinah Park, Abdul Qayyum, Jonas Richiardi, Antoine Saporta, Branislav Setlak, Ning Shen, Justin Szeto, Constantin Ulrich, Puru Vaish, Vibujithan Vigneshwaran, Leroy Volmer, Zihao Wang, Siqi Wei, Anthony Winder, Jelmer M. Wolterink, Maxence Wynen, Chang Yang, Si Young Yie, Mostafa Mehdipour Ghazi, Akshay Pai, Espen Jimenez Solem, Sebastian Nørgaard Llambias, Mikael Boesen, Michael Eriksen Benros, Juan Eugenio Iglesias, Mads Nielsen

机构 * organization= Department of Computer Science, University of Copenhagen , city= Copenhagen , country= Denmark organization= Pioneer Centre for AI , city= Copenhagen , country= Denmark organization= Copenhagen Research Centre for Biological Precision Psychiatry, Mental Health Centre Copenhagen, Copenhagen University Hospital , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital Harvard Medical School , city= Boston , state= Massachusetts , country= USA Artificial Intelligence Laboratory, Massachusetts Institute of Technology , city= Boston , state= Massachusetts , country= USA organization= Johns Hopkins University , city= Baltimore , state= Maryland , country= USA organization= Radiological AI Testcenter (RAIT) , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Copenhagen University Hospital, Rigshospitalet , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Copenhagen University Hospital, Bispebjerg \& Frederiksberg Hospital , region= Capital Region of Denmark , city= Copenhagen , country= Denmark organization= Department of Clinical Medicine, Faculty of Health Medical Sciences, University of Copenhagen , city= Copenhagen , country= Denmark organization= Division of Medical Image Computing, German Cancer Research Center (DKFZ) , city= Heidelberg , country= Germany organization= University of British Columbia , city= Vancouver , state= British Columbia , country= Canada organization= Hawkes Institute, Department of Computer Science, University College London , city= London , country= United Kingdom Lung Institute, Faculty of Medicine, Imperial College London , city= London , country= United Kingdom organization= Department of Applied Mathematics, Technical Medical Centre, University of Twente , city= Enschede , country= Netherlands organization= IISLAB, Technical University of Košice , city= Košice , country= Slovakia organization= 2nd Department of Internal Medicine, Pavol Jozef Safarik University L Pasteur University Hospital , city= Košice , country= Slovakia organization= Fudan University , city= Shanghai , country= China organization= Shenzhen Technology University , city= Shenzhen , country= China organization= Department of Radiology, Lausanne University Hospital University of Lausanne , city= Lausanne , country= Switzerland organization= Louvain Neuroinflammation Imaging Lab (NIL), Université Catholique de Louvain , city= Brussels , country= Belgium organization= University of Applied Sciences organization= CIBM Center for Biomedical Imaging , city= Lausanne , country= Switzerland organization= Department of Radiation Oncology (Maastro), GROW Research Institute for Oncology Reproduction, Maastricht University Medical Centre+ , city= Maastricht , country= The Netherlands organization= Department of Biomedical Engineering, Medical Image Analysis, Eindhoven University of Technology , city= Eindhoven , country= The Netherlands organization= Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , city= Shenzhen , country= China organization= McGill University Mila - Quebec AI Institute , city= Montreal , country= Canada organization= Hotchkiss Brain Institute Department of Radiology, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= Department of Radiology, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= Alberta Children's Hospital Research Institute, Department of Clinical Neuroscience, University of Calgary , city= Calgary , state= Alberta , country= Canada organization= The Wallace H. Coulter Department of Biomedical Engineering, Georgia Tech Emory University , city= Atlanta , state= Georgia , country= USA organization= SGGS College of Engineering organization= Seoul National University , city= Seoul , country= South Korea organization= The D-Lab, Department of Precision Medicine, GROW Research Institute for Oncology Reproduction, Maastricht University , city= Maastricht , country= The Netherlands organization= Artificial Intelligence in Medicine (AIM) Program, Mass General Brigham, Harvard Medical School , city= Boston , state= Massachusetts , country= USA Nuclear Medicine, CARIM \& GROW, Maastricht University , city= Maastricht , country= The Netherlands organization= Department of Radiation Oncology, Dana-Farber Cancer Institute, Brigham Women’s Hospital, Harvard Medical School , city= Boston , state= Massachusetts , country= USA Learning Group, Heidelberg University Hospital , city= Heidelberg , country= Germany

AI总结 针对临床脑MRI数据异质且标注成本高的问题,FOMO25挑战赛通过自监督预训练(FOMO60K数据集)评估了16个团队的基础模型,发现自监督预训练能提升域迁移泛化性,但不同任务需不同预训练目标,且模型规模扩展收益有限。

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2602.07235 2026-05-25 cs.LG cs.AI cs.IT math.IT

ArcMark: Distortion-Free Multi-Byte LLM Watermark via Optimal Transport

ArcMark: 通过最优传输实现无失真的多字节大语言模型水印

Atefeh Gilani, Sajani Vithana, Carol Xuan Long, Oliver Kosut, Lalitha Sankar, Flavio P. Calmon

机构 * Arizona State University(亚利桑那州立大学) Harvard University(哈佛大学)

AI总结 本文提出ArcMark,一种基于编码和信息论原理的无失真水印方法,能够在数百个token中可靠嵌入多字节信息,且不改变LLM的下一token分布。

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