arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~

高校专区

University of Washington(华盛顿大学)

2026-03-31 至 2026-03-31 共收录 10
2508.13197 2026-03-31 cond-mat.mtrl-sci cs.AI

The Rise of Generative AI for Metal-Organic Framework Design and Synthesis

生成式AI在金属有机框架设计与合成中的崛起

Chenru Duan, Aditya Nandy, Shyam Chand Pal, Xin Yang, Wenhao Gao, Yuanqi Du, Hendrik Kraß, Yeonghun Kang, Varinia Bernales, Zuyang Ye, Tristan Pyle, Ray Yang, Zeqi Gu, Philippe Schwaller, Shengqian Ma, Shijing Sun, Alán Aspuru-Guzik, Seyed Mohamad Moosavi, Robert Wexler, Zhiling Zheng

机构 * Deep Principle, Inc.(Deep Principle公司) University of California, Los Angeles(加州大学洛杉矶分校) Washington University(华盛顿大学) Institute of Materials Science & Engineering, Washington University(华盛顿大学材料科学与工程研究所) Massachusetts Institute of Technology(麻省理工学院) Cornell University(康奈尔大学) University of Toronto(多伦多大学) Vector Institute for Artificial Intelligence(向量人工智能研究所) Acceleration Consortium, University of Toronto(多伦多大学加速联盟) University of Washington(华盛顿大学) University of North Texas(北德克萨斯大学) École Polytechnique Fédérale de Lausanne(洛桑联邦理工学院) Canadian Institute for Advanced Research(加拿大高等研究院) NVIDIA(英伟达)

AI总结 生成式AI推动金属有机框架设计方法革新,通过自主提出并合成新型多孔结构,结合高通量计算筛选和自动化实验,形成加速发现闭环流程,提升清洁空气和能源应用材料性能。

Comments 10 pages, 5 figures

Journal ref Matter (2026)

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.28455 2026-03-31 cs.LG cs.AI cs.CV cs.DC stat.ML

FeDMRA: Federated Incremental Learning with Dynamic Memory Replay Allocation

FeDMRA: 联邦增量学习中的动态记忆回放分配

Tiantian Wang, Xiang Xiang, Simon S. Du

机构 * Huazhong University of Science and Technology(华中科技大学) University of Washington(华盛顿大学)

AI总结 本文提出动态内存分配策略,以应对联邦医疗系统中非独立同分布数据带来的挑战,通过合理分配存储资源提升模型性能。

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.28069 2026-03-31 cs.CV cs.AI

MolmoPoint: Better Pointing for VLMs with Grounding Tokens

MolmoPoint:通过接地标记提升VLMs的指针能力

Christopher Clark, Yue Yang, Jae Sung Park, Zixian Ma, Jieyu Zhang, Rohun Tripathi, Mohammadreza Salehi, Sangho Lee, Taira Anderson, Winson Han, Ranjay Krishna

机构 * Allen Institute for AI(艾伦人工智能研究所) University of Washington(华盛顿大学)

AI总结 本文提出MolmoPoint,通过直接选择包含目标概念的视觉标记来改进VLMs的指针机制,提升图像、GUI和视频指针任务性能,并提高样本效率。

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.28038 2026-03-31 cs.AI cs.LG

Beyond the Answer: Decoding the Behavior of LLMs as Scientific Reasoners

超越答案:解码LLM作为科学推理者的行为

Rohan Pandey, Eric Ye, Michael Li

机构 * University of Washington(华盛顿大学) Carnegie Mellon University(卡内基梅隆大学)

AI总结 本文通过定制遗传Pareto算法优化提示,研究提示对科学推理行为的影响,揭示模型特定的局部逻辑,并探讨其可迁移性和脆弱性。

Comments Accepted at the Post-AGI Science and Society Workshop at ICLR 2026

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.23562 2026-03-31 cs.LG cs.AI

Synthetic Mixed Training: Scaling Parametric Knowledge Acquisition Beyond RAG

合成混合训练:在RAG之上扩展参数化知识获取

Seungju Han, Konwoo Kim, Chanwoo Park, Benjamin Newman, Suhas Kotha, Jaehun Jung, James Zou, Yejin Choi

机构 * Stanford University(斯坦福大学) MIT(麻省理工学院) University of Washington(华盛顿大学)

AI总结 本文提出合成混合训练方法,结合合成问答和文档,通过互补训练信号提升模型性能,在QuaLITY基准上实现4.4%的相对提升。

详情

展开后加载摘要…

URL PDF HTML 收藏
2512.13874 2026-03-31 cs.CV

SAGE: Training Smart Any-Horizon Agents for Long Video Reasoning with Reinforcement Learning

SAGE:基于强化学习训练长视频推理的智能任意时间范围智能体

Jitesh Jain, Jialuo Li, Zixian Ma, Jieyu Zhang, Chris Dongjoo Kim, Sangho Lee, Rohun Tripathi, Tanmay Gupta, Christopher Clark, Humphrey Shi

机构 * Allen AI(艾伦人工智能研究所) University of Washington(华盛顿大学)

AI总结 本文提出SAGE系统,通过多轮推理处理长视频并单轮处理简单问题,结合Gemini-2.5-Flash生成合成数据,提出RL后训练方案,并通过SAGE-Bench验证系统有效性,提升视频推理性能达6.1%。

Comments Project Page: https://praeclarumjj3.github.io/sage/

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.27460 2026-03-31 cs.CV cs.AI

Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development

Project Imaging-X:1000多个开放访问医学影像数据集的调查

Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Yinghao Zhu, Shujian Gao, Yanyan Huang, Sibo Ju, Yanzhou Su, Pengcheng Chen, Wenhao Tang, Tianbin Li, Haoyu Wang, Yuanfeng Ji, Hui Sun, Shaobo Min, Liang Peng, Feilong Tang, Haochen Xue, Rulin Zhou, Chaoyang Zhang, Wenjie Li, Shaohao Rui, Weijie Ma, Xingyue Zhao, Yibin Wang, Kun Yuan, Zhaohui Lu, Shujun Wang, Jinjie Wei, Lihao Liu, Dingkang Yang, Lin Wang, Yulong Li, Haolin Yang, Yiqing Shen, Lequan Yu, Xiaowei Hu, Yun Gu, Yicheng Wu, Benyou Wang, Minghui Zhang, Angelica I. Aviles-Rivero, Qi Gao, Hongming Shan, Xiaoyu Ren, Fang Yan, Hongyu Zhou, Haodong Duan, Maosong Cao, Shanshan Wang, Bin Fu, Xiaomeng Li, Zhi Hou, Chunfeng Song, Lei Bai, Yuan Cheng, Yuandong Pu, Xiang Li, Wenhai Wang, Hao Chen, Jiaxin Zhuang, Songyang Zhang, Huiguang He, Mengzhang Li, Bohan Zhuang, Zhian Bai, Rongshan Yu, Liansheng Wang, Yukun Zhou, Xiaosong Wang, Xin Guo, Guanbin Li, Xiangru Lin, Dakai Jin, Mianxin Liu, Wenlong Zhang, Qi Qin, Conghui He, Yuqiang Li, Ye Luo, Nanqing Dong, Jie Xu, Wenqi Shao, Bo Zhang, Qiujuan Yan, Yihao Liu, Jun Ma, Zhi Lu, Yuewen Cao, Zongwei Zhou, Jianming Liang, Shixiang Tang, Qi Duan, Dongzhan Zhou, Chen Jiang, Yuyin Zhou, Yanwu Xu, Jiancheng Yang, Shaoting Zhang, Xiaohong Liu, Siqi Luo, Yi Xin, Chaoyu Liu, Haochen Wen, Xin Chen, Alejandro Lozano, Min Woo Sun, Yuhui Zhang, Yue Yao, Xiaoxiao Sun, Serena Yeung-Levy, Xia Li, Jing Ke, Chunhui Zhang, Zongyuan Ge, Ming Hu, Jin Ye, Zhifeng Li, Yirong Chen, Yu Qiao, Junjun He

机构 * Shanghai Artificial Intelligence Laboratory(上海人工智能实验室) Shanghai Innovation Institute(上海创新研究院) Shanghai Institute of Optics and Fine Mechanics(上海光学精密机械研究所) Fudan University(复旦大学) University of Cambridge(剑桥大学) Shanghai Jiao Tong University(上海交通大学) The University of Hong Kong(香港大学) Fuzhou University(福州大学) University of Washington(华盛顿大学) Stanford University(斯坦福大学) Incept Labs Monash University(莫纳什大学) Ruijin Hospital, Shanghai Jiao Tong University School of Medicine(上海交通大学医学院附属瑞金医院) Alibaba DAMO Academy(阿里巴巴达摩院) The Hong Kong Polytechnic University(香港理工大学) South China University of Technology(华南理工大学) The Chinese University of Hong Kong, Shenzhen(香港中文大学(深圳)) Yau Mathematical Sciences Center, Tsinghua University(清华大学丘成桐数学科学中心) Chinese Academy of Sciences(中国科学院) Tsinghua University(清华大学) Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences(中国科学院深圳先进技术研究院) Artificial Intelligence Innovation and Incubation Institute, Fudan University(复旦大学人工智能创新与产业研究院) Shanghai Academy of Artificial Intelligence for Science(上海科学智能研究院) Nankai University(南开大学) The Chinese University of Hong Kong(香港中文大学) Institute of Automation, Chinese Academy of Sciences(中国科学院自动化研究所) University of Chinese Academy of Sciences(中国科学院大学) Zhejiang University(浙江大学) School of Informatics, Xiamen University(厦门大学信息学院) University College London(伦敦大学学院) Sun Yat-sen University(中山大学) Alibaba Group, DAMO Academy, New York, NY, USA(阿里巴巴集团达摩院(纽约)) Tongji University(同济大学) University of Toronto(多伦多大学) Department of Psychological and Cognitive Sciences, Tsinghua University(清华大学心理与认知科学系) Johns Hopkins University(约翰霍普金斯大学) Arizona State University(亚利桑那州立大学) Academy for Clinical Innovation and Translation of Shanghai(上海临床创新转化研究院) University of California, Santa Cruz(加州大学圣克鲁兹分校) ELLIS Institute Finland(芬兰ELLIS研究所) Aalto University(阿尔托大学) Shandong University(山东大学) Xi’an Jiaotong University(西安交通大学)

AI总结 本文调查了1000多个开放访问医学影像数据集,揭示了其规模小、任务碎片化和分布不均的问题,并提出元数据驱动融合方法和交互发现门户,为医学影像数据集的整合和基础模型发展提供路线图。

Comments 157 pages, 19 figures, 26 tables. Project repo: \url{https://github.com/uni-medical/Project-Imaging-X}

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.27376 2026-03-31 cs.HC cs.AI

Where Does AI Leave a Footprint? Children's Reasoning About AI's Environmental Costs

AI留下什么足迹?儿童对AI环境成本的推理

Aayushi Dangol, Robert Wolfe, Nisha Devasia, Mitsuka Kiyohara, Jason Yip, Julie A. Kientz

机构 * University of Washington(华盛顿大学) Rutgers University(罗格斯大学) University of Toronto(多伦多大学)

AI总结 研究通过Ecoprompt系统帮助儿童理解AI的环境影响,揭示其对AI使用的社会与环境权衡及责任感的认知。

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.26922 2026-03-31 cs.HC cs.AI

Mimetic Alignment with ASPECT: Evaluation of AI-inferred Personal Profiles

模仿对齐与ASPECT:AI推断个人资料的评估

Ruoxi Shang, Dan Marshall, Edward Cutrell, Denae Ford

机构 * University of Washington(华盛顿大学) Microsoft Research(微软研究院)

AI总结 本文提出ASPECT方法,通过验证的沟通量表和职场数据评估LLM沟通特征,生成的个人资料在自评上表现良好,并在多个场景中优于通用和自述基线。

Comments 20 pages (including appendix), 5 figures, 5 tables

详情

展开后加载摘要…

URL PDF HTML 收藏
2603.26741 2026-03-31 cs.CV cs.AI cs.RO

Language-Conditioned World Modeling for Visual Navigation

基于语言的视觉导航世界建模

Yifei Dong, Fengyi Wu, Yilong Dai, Lingdong Kong, Guangyu Chen, Xu Zhu, Qiyu Hu, Tianyu Wang, Johnalbert Garnica, Feng Liu, Siyu Huang, Qi Dai, Zhi-Qi Cheng

机构 * University of Washington(华盛顿大学) National University of Singapore(新加坡国立大学) Clemson University(克莱姆森大学) Drexel University(德雷塞尔大学) Microsoft Research(微软研究院)

AI总结 本文研究了基于语言的视觉导航问题,提出LCVN数据集并开发了两种模型家族,通过语言 grounding、未来状态预测和动作生成实现统一任务学习。

Comments 19 pages, 6 figures, Code: https://github.com/F1y1113/LCVN

详情

展开后加载摘要…

URL PDF HTML 收藏