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AI 大模型

AI Agent

智能体、工具调用、规划、工作流、多智能体和自主任务执行。

2025-10-16 至 2025-10-16 共收录 7 信号源:cs.AI, cs.CL, cs.LG, cs.SE

1. 工作流自动化 7 篇

2510.12825 2025-10-16 cs.CL cs.AI cs.DB cs.LG 85%

Classifier-Augmented Generation for Structured Workflow Prediction

Thomas Gschwind, Shramona Chakraborty, Nitin Gupta, Sameep Mehta

机构 * IBM Research(IBM研究院)

专题命中 工作流自动化 :workflow(title,abstract);agentic(abstract);分类 cs.AI、cs.CL、cs.LG

Comments Accepted at EMNLP 2025

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2510.13248 2025-10-16 cs.NI cs.LG 77%

Automated Network Protocol Testing with LLM Agents

Yunze Wei, Kaiwen Wei, Shibo Du, Jianyu Wang, Zhangzhong Liu, Yawen Wang, Zhanyou Li, Congcong Miao, Xiaohui Xie, Yong Cui

机构 * Tsinghua University(清华大学) Beijing Xinertel Technology Co., Ltd.(北京新ertel技术有限公司) Tencent(腾讯)

专题命中 工作流自动化 :agent(abstract);workflow(abstract);multi-agent(abstract);分类 cs.LG

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2510.13300 2025-10-16 physics.med-ph 67%

Five Years of Clinical Application of independent Monte Carlo-Based Patient-Specific Quality Assurance at the Maastro Proton Therapy Center

Ilaria Rinaldi, Giorgio Cartechini, Angelo Schiavi, Jan Gajewski, Nils Krah, Antoni Rucinski, Gloria Vilches Freixas, Vincenzo Patera, Sebastiaan Nijsten

专题命中 工作流自动化 :planning(abstract);workflow(abstract)

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2510.13792 2025-10-16 cs.LG cs.AI 62%

Provably Invincible Adversarial Attacks on Reinforcement Learning Systems: A Rate-Distortion Information-Theoretic Approach

Ziqing Lu, Lifeng Lai, Weiyu Xu

机构 * University of Iowa(爱荷华大学) University of California, Davis(加州大学戴维斯分校)

专题命中 工作流自动化 :agent(abstract);分类 cs.AI、cs.LG

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2510.12835 2025-10-16 cs.CL cs.AI 62%

Repurposing Annotation Guidelines to Instruct LLM Annotators: A Case Study

Kon Woo Kim, Rezarta Islamaj, Jin-Dong Kim, Florian Boudin, Akiko Aizawa

专题命中 工作流自动化 :workflow(abstract);分类 cs.AI、cs.CL

Comments 11 pages, 2 figures, 3 tables, This is a preprint of the article accepted at NLDB 2025 (Springer LNCS). The final version is available at https://doi.org/10.1007/978-3-031-97144-0_13

Journal ref In International Conference on Applications of Natural Language to Information Systems, pp. 140-151. Cham: Springer Nature Switzerland, 2025

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2506.19622 2025-10-16 cs.RO cs.FL cs.SE cs.SY eess.SY 57%

A Verification Methodology for Safety Assurance of Robotic Autonomous Systems

Mustafa Adam, David A. Anisi, Pedro Ribeiro

机构 * Faculty of Science and Technology, Norwegian University Of Life Sciences (NMBU)(科学与技术学院,挪威生命科学大学) Department of Mechatronics, University of Agder (UiA)(机械电子系,阿格德大学) Department of Computer Science, University Of York, UK(计算机科学系,约克大学(英国))

专题命中 工作流自动化 :workflow(abstract);分类 cs.SE

Comments In Proc. of the 26th TAROS (Towards Autonomous Robotic Systems) Conference, York, UK, August, 2025

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2505.03622 2025-10-16 physics.app-ph cond-mat.mes-hall 50%

Direct integration of atomic precision advanced manufacturing into middle-of-line silicon fabrication

E. M. Anderson, C. R. Allemang, A. J. Leenheer, S. W. Schmucker, J. A. Ivie, D. M. Campbell, W. Lepkowski, X. Gao, P. Lu, C. Arose, T. -M. Lu, C. Halsey, T. D. England, D. R. Ward, D. A. Scrymgeour, S. Misra

专题命中 工作流自动化 :workflow(abstract)

Comments This article has been published by Applied Physics Reviews at https://pubs.aip.org/aip/apr/article/12/4/041402/3366930/Direct-integration-of-atomic-precision-advanced as part of Special Collection: Advances on Manufacturing and Next-generation Devices Towards CHIPS Act https://pubs.aip.org/apr/collection/433328/Advances-on-Manufacturing-and-Next-generation. Copyright 2025 Authors

Journal ref Applied Physics Reviews, 12, 041402 (2025)

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