arXivDaily arXiv每日学术速递 周一至周五更新

高校专区

Columbia University(哥伦比亚大学)

2026-05-18 至 2026-05-18 共收录 4
2604.05966 2026-05-18 cs.CL

FinReporting: An Agentic Workflow for Localized Reporting of Cross-Jurisdiction Financial Disclosures

FinReporting: 一种用于跨司法管辖区财务披露本地化报告的代理工作流

Fan Zhang, Mingzi Song, Rania Elbadry, Yankai Chen, Shaobo Wang, Yixi Zhou, Xunwen Zheng, Yueru He, Yuyang Dai, Georgi Georgiev, Ayesha Gull, Muhammad Usman Safder, Fan Wu, Liyuan Meng, Fengxian Ji, Junning Zhao, Xueqing Peng, Jimin Huang, Yu Chen, Xue, Liu, Preslav Nakov, Zhuohan Xie

机构 * MBZUAI The University of Tokyo(东京大学) Meiji Gakuin University(明治大学) McGill University(麦吉尔大学) Kyoto University(京都大学) Columbia University(哥伦比亚大学) University of California, Berkeley(加州大学伯克利分校)

AI总结 本文提出FinReporting,一种代理工作流,用于跨司法管辖区的财务披露本地化报告。该系统构建了涵盖损益表、资产负债表和现金流量表的统一本体,将报告分解为可审计的阶段,并通过约束验证器提升一致性和可靠性。

Comments Accepted at ACL 2026 Demo Track. 9 pages, including figures and tables

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2605.15569 2026-05-18 cs.CR cs.AI cs.SE

Detecting Privilege Escalation in Polyglot Microservices via Agentic Program Analysis

通过代理程序分析检测多语言微服务中的特权提升

Penghui Li, Hong Yau Chong, Yinzhi Cao, Junfeng Yang

机构 * Columbia University(哥伦比亚大学) Johns Hopkins University(约翰霍普金斯大学)

AI总结 本文提出Neo框架,结合LLM和经典程序分析,解决微服务中特权提升检测的复杂性问题,发现24个零日漏洞,精度和召回率均优于现有方法。

Comments In Proceedings of the 47th IEEE Symposium on Security and Privacy (S&P)

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2605.15549 2026-05-18 cs.LG cs.AI cs.CE

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models

CTF4Nuclear: 用于核裂变和核聚变模型的通用任务框架

Stefano Riva, Carolina Introini, Antonio Cammi, Dean Price, Alexey Yermakov, Yue Zhao, Philippe M. Wyder, Judah Goldfeder, Jan Williams, Amy Sara Rude, Matteo Tomasetto, Joe Germany, Joseph Bakarji, Georg Maierhofer, Miles Cranmer, J. Nathan Kutz

机构 * Autodesk Research(Autodesk研究院) Department of Energy, Nuclear Engineering Division, Politecnico di Milano(能源部,核工程系,米兰理工学院) Nuclear Science and Engineering, Massachusetts Institute of Technology(核科学与工程,麻省理工学院) Department of Applied Mathematics, University of Washington(应用数学系,华盛顿大学) Department of Electrical and Computer Engineering, University of Washington(电气与计算机工程系,华盛顿大学) High Performance Machine Learning, SURF(高性能机器学习,SURF) Distyl AI Department of Computer Science, Columbia University(计算机科学系,哥伦比亚大学) Department of Mechanical Engineering, University of Washington(机械工程系,华盛顿大学) Department of Mechanical Engineering, Politecnico di Milano(机械工程系,米兰理工学院) Department of Mathematics, American University in Beirut(数学系,贝鲁特美国大学) Department of Mechanical Engineering, American University in Beirut(机械工程系,贝鲁特美国大学) Department of Applied Mathematics and Theoretical Physics, University of Cambridge(应用数学与理论物理系,剑桥大学)

AI总结 本文提出CTF4Nuclear框架,用于核工程中机器学习方法的标准化评估,通过12个指标和稀疏测量系统监控,提升核工业科学ML的严谨性和可重复性。

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2605.15486 2026-05-18 cs.RO cs.AI

Hybrid LLM-based Intelligent Framework for Robot Task Scheduling

基于混合大语言模型的智能机器人任务调度框架

Swayamjit Saha, Subhabrata Das, Haonan Duan, Xiao-Yang Liu

机构 * Department of Computer Science and Engineering, Mississippi State University(密苏里州立大学计算机科学与工程系) Graduate School of Arts and Sciences, Columbia University(哥伦比亚大学研究生院) Consumer and Community Banking, JPMorgan Chase(摩根大通消费与社区银行业) Department of Data Science, Columbia University(哥伦比亚大学数据科学系) Department of Electrical Engineering, Columbia University(哥伦比亚大学电气工程系)

AI总结 本文提出利用大语言模型提升建筑机器人任务调度效率,通过平衡时间效率与资源利用,结合自然语言处理接口实现与专业人员的实时沟通,并采用两个LLM代理生成更精确的任务计划。

Comments 9 pages, 5 figures

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