AI Agent

Machine Learning Workflow to Explain Black-box Models for Early Alzheimer's Disease Classification Evaluated for Multiple Datasets

Louise Bloch, Christoph M. Friedrich

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

Journal ref SN Computer Science 3 (6) (2022)

Towards Automated Process Planning and Mining

Peter Fettke, Alexander Rombach

专题命中 工作流自动化 ：planning(title,abstract)；分类 cs.AI、cs.SE

Comments Accepted at Workshop "Process Management in the AI era (PMAI)" @ IJCAI-ECAI 2022

Learning Context-Aware Service Representation for Service Recommendation in Workflow Composition

Xihao Xie, Jia Zhang, Rahul Ramachandran, Tsengdar J. Lee, Seungwon Lee

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

Comments 10 pages, 15 figures, 1 table

Agent Spaces

John C. Raisbeck, Matthew W. Allen, Hakho Lee

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

Comments 40 pages, 1 figure

Scanflow: A multi-graph framework for Machine Learning workflow management, supervision, and debugging

Gusseppe Bravo-Rocca, Peini Liu, Jordi Guitart, Ajay Dholakia, David Ellison, Jeffrey Falkanger, Miroslav Hodak

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

Constraint-Guided Reinforcement Learning: Augmenting the Agent-Environment-Interaction

Helge Spieker

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

Comments IJCNN 2021

Workflow Augmentation of Video Data for Event Recognition with Time-Sensitive Neural Networks

Andreas Wachter, Werner Nahm

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

Comments Submitted to Medical Image Analysis

Workflow Provenance in the Lifecycle of Scientific Machine Learning

Renan Souza, Leonardo G. Azevedo, Vítor Lourenço, Elton Soares, Raphael Thiago, Rafael Brandão, Daniel Civitarese, Emilio Vital Brazil, Marcio Moreno, Patrick Valduriez, Marta Mattoso, Renato Cerqueira, Marco A. S. Netto

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

Comments 21 pages, 10 figures, text overlap with arXiv:1910.04223, a workshop paper being extended in this journal paper

Journal ref Concurrency Computation Practice Experience. 2021;e6544

Improving Editorial Workflow and Metadata Quality at Springer Nature

Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta

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

Comments In: The Semantic Web - ISWC 2019. Lecture Notes in Computer Science, vol 11779. Springer, Cham

Widening the Dialogue Workflow Modeling Bottleneck in Ontology-Based Personal Assistants

Michael Wessel, Edgar Kalns, Girish Acharya, Andreas Kathol

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

Comments 7 pages, 4 figures, 1 table

A hybrid classical-quantum workflow for natural language processing

Lee J. O'Riordan, Myles Doyle, Fabio Baruffa, Venkatesh Kannan

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

Comments For associated code, see https://github.com/ICHEC/QNLP

A Workflow Manager for Complex NLP and Content Curation Pipelines

Julián Moreno-Schneider, Peter Bourgonje, Florian Kintzel, Georg Rehm

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

Comments Proceedings of the 1st International Workshop on Language Technology Platforms (IWLTP 2020). To appear

Workflow Automation for Cyber Physical System Development Processes

Charles Hartsell, Nagabhushan Mahadevan, Harmon Nine, Ted Bapty, Abhishek Dubey, Gabor Karsai

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

Comments Accepted for Publication at DESTION 2020

sql4ml A declarative end-to-end workflow for machine learning

Nantia Makrynioti, Ruy Ley-Wild, Vasilis Vassalos

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

Comments 14 pages, 9 figures, replaced code repository link

Rethinking Continual Learning for Autonomous Agents and Robots

German I. Parisi, Christopher Kanan

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

Comments arXiv admin note: substantial text overlap with arXiv:1802.07569

Two-stage Optimization for Machine Learning Workflow

Alexandre Quemy

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

Comments Submitted to Information Systems, DOLAP special issue

Term Set Expansion based on Multi-Context Term Embeddings: an End-to-end Workflow

Jonathan Mamou, Oren Pereg, Moshe Wasserblat, Ido Dagan, Yoav Goldberg, Alon Eirew, Yael Green, Shira Guskin, Peter Izsak, Daniel Korat

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

Comments COLING 2018 System Demonstration paper

RIOT: a Stochastic-based Method for Workflow Scheduling in the Cloud

Jianfeng Chen, Tim Menzies

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

Comments 8 pages, 4 figures, 3 tables. In Proceedings of IEEE international conference on Cloud Computing'18

Towards Adaptive Training of Agent-based Sparring Partners for Fighter Pilots

Brett W. Israelsen, Nisar Ahmed, Kenneth Center, Roderick Green, Winston Bennett

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

Comments submitted copy

Journal ref SciTech 2017, paper 2545524

SAP Speaks PDDL: Exploiting a Software-Engineering Model for Planning in Business Process Management

Joerg Hoffman, Ingo Weber, Frank Michael Kraft

专题命中 工作流自动化 ：planning(title,abstract)；分类 cs.AI、cs.SE

Journal ref Journal Of Artificial Intelligence Research, Volume 44, pages 587-632, 2012

HawkesLLM: Semantic Uncertainty Propagation in Agentic Text Simulation

HawkesLLM：智能体文本模拟中的语义不确定性传播

Zewei Deng, Tinghan Ye, Liyan Xie

机构 * Department of Industrial and Systems Engineering, University of Minnesota（工业与系统工程系，明尼苏达大学） ； H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology（H. Milton Stewart工业与系统工程学院，佐治亚理工学院） 纠错

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

AI总结 提出HawkesLLM框架，通过多变量Hawkes过程建模时间影响与文本生成分离，解决智能体文本模拟中语义不确定性路径依赖问题，在GDELT新闻级联案例中提升后期语义对齐。

Comments 10 pages, 4 figures, Accepted at the ICML 2026 Workshop on Statistical Frameworks for Uncertainty in Agentic Systems

Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT

Mario Sänger, Ninon De Mecquenem, Katarzyna Ewa Lewińska, Vasilis Bountris, Fabian Lehmann, Ulf Leser, Thomas Kosch

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

Journal ref Sänger et. al: A qualitative assessment of using ChatGPT as large language model for scientific workflow development, GigaScience, Volume 13, 2024, giae030

A Workflow for Offline Model-Free Robotic Reinforcement Learning

Aviral Kumar, Anikait Singh, Stephen Tian, Chelsea Finn, Sergey Levine

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

Comments CoRL 2021. Project Website: https://sites.google.com/view/offline-rl-workflow. First two authors contributed equally

MolSSI and BioExcel Workflow Workshop 2018 Report

Levi N. Naden, Sam Ellis, Shantenu Jha

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

Comments 13 pages, Workflow Developers, Workshop, Report

Mining Event Logs to Support Workflow Resource Allocation

Tingyu Liu, Yalong Cheng, Zhonghua Ni

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

Comments T. Liu et al., Mining event logs to support workflow resource allocation, Knowl. Based Syst. (2012), http://dx.doi.org/ 10.1016/j.knosys.2012.05.010

Journal ref Knowledge-based Systems 35(2012) 320-331

The Orchestration Gap: Why Process Automation Stalls in Operationally Complex Industries

编排鸿沟：为何流程自动化在操作复杂行业中停滞不前

Jiechao Gao, Yuandong Pan. Yuangang Li, Jie Wang, Kincho Law, Michael Lepech

专题命中 工作流自动化 ：agent(abstract)；workflow(abstract)；agentic(abstract)；multi-agent(abstract)

AI总结 本文提出“编排鸿沟”概念，分析为何多智能体系统在物流、医疗等复杂行业自动化中失败，并给出基于约束执行和可解释性的分阶段自动化路径。

AIMD-L: An automated laboratory for high-throughput characterization of structural materials for extreme environments

AIMD-L: 一种用于极端环境下结构材料高通量表征的自动化实验室

Todd C. Hufnagel, Pranav Addepalli, Anuruddha Bhattacharjee, Rohit Berlia, Jaafar El-Awady, David Elbert, Lori Graham-Brady, Axel Krieger, Harichandana Neralla, T. Joseph Nkansah-Mahaney, Mostafa M. Omar, Hyun Sang Park, K. T. Ramesh, Matthew Shaeffer, Eric Walker, Piyush Wanchoo, Timothy P. Weihs

专题命中 工作流自动化 ：agent(abstract)；AI agent(abstract)；workflow(abstract)；agentic(abstract)

AI总结 AIMD-L是一种自动化实验室，用于高通量表征极端环境下结构材料的微观结构和性能。

Comments 15 pages, 10 figures, submitted to Matter

Empowering Scientific Workflows with Federated Agents

通过联邦代理赋能科学工作流

Alok Kamatar, J. Gregory Pauloski, Yadu Babuji, Ryan Chard, Mansi Sakarvadia, Daniel Babnigg, Kyle Chard, Ian Foster

专题命中 工作流自动化 ：agent(abstract)；autonomous agent(abstract)；workflow(abstract)；agentic(abstract)

AI总结 Academy通过模块化中间件实现联邦研究生态系统中自主代理的部署，支持异构资源和高吞吐量数据流，提升科学计算的性能和可扩展性。

Comments To appear at the IEEE International Parallel & Distributed Processing Symposium (IPDPS '26)

Are LLM Agents the New RPA? A Comparative Study with RPA Across Enterprise Workflows

Petr Průcha, Michaela Matoušková, Jan Strnad

专题命中 工作流自动化 ：agent(abstract)；workflow(abstract)；agentic(abstract)；multi-agent(abstract)

GreenTEA: Gradient Descent with Topic-modeling and Evolutionary Auto-prompting

Zheng Dong, Luming Shang, Gabriela Olinto

机构 * Amazon Buyer Risk Prevention（亚马逊买家风险预防） 纠错

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