AI Agent

ROTATE: Regret-driven Open-ended Training for Ad Hoc Teamwork

Caroline Wang, Arrasy Rahman, Jiaxun Cui, Yoonchang Sung, Peter Stone

机构 * Department of Computer Science（计算机科学系） ； The University of Texas at Austin（德克萨斯大学奥斯汀分校） ； College of Computing and Data Science（计算与数据科学学院） ； Nanyang Technological University（南洋理工大学） 纠错

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

Collaborative penetration testing suite for emerging generative AI algorithms

Petar Radanliev

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

Journal ref Appl Intell 55, 1030 (2025)

A Design Science Blueprint for an Orchestrated AI Assistant in Doctoral Supervision

Teo Susnjak, Timothy R. McIntosh, Tong Liu, Paul Watters

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

Measuring Data Science Automation: A Survey of Evaluation Tools for AI Assistants and Agents

Irene Testini, José Hernández-Orallo, Lorenzo Pacchiardi

机构 * Leverhulme Centre for the Future of Intelligence, University of Cambridge, UK（未来智能研究中心、剑桥大学） ； Valencian Research Institute for Artificial Intelligence (VRAIN), Universitat Politècnica de València, Spain（瓦伦西亚人工智能研究 institutes (VRAIN)、瓦伦西亚理工大学） 纠错

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

Comments Published in Transactions of Machine Learning Research (TMLR), 10/2025 https://openreview.net/forum?id=MB0TCLfLn1

A Markov Decision Process for Variable Selection in Branch & Bound

Paul Strang, Zacharie Alès, Côme Bissuel, Olivier Juan, Safia Kedad-Sidhoum, Emmanuel Rachelson

机构 * EDF R&D（EDF研发部） ； CNAM Paris（CNAM巴黎分校） ； ENSTA IP Paris（ENSTA IP巴黎分校） ； ISAE-SUPAERO 纠错

专题命中 工作流自动化 ：agent(abstract)；分类 cs.LG

Sentiment Analysis of Social Media Data for Predicting Consumer Behavior Trends Using Machine Learning

S M Rakib Ul Karim, Rownak Ara Rasul, Tunazzina Sultana

专题命中 工作流自动化 ：workflow(abstract)

Comments 21 pages, 10 figures, conference

Predicting Spectroscopic Properties of Solvated Nile Red with Automated Workflows for Machine Learned Interatomic Potentials

Jacob Eller, Nicholas D. M. Hine

专题命中 工作流自动化 ：workflow(abstract)

Comments 12 pages, 3 figures

Machine-learned domain partitioning for computationally efficient coupling of continuum and particle simulations of membrane fabrication

Matthias Busch, Gregor Häfner, Jiayu Xie, Marius Tacke, Marcus Müller, Christian J. Cyron, Roland C. Aydin

专题命中 工作流自动化 ：workflow(abstract)

Siberian radioheliograph image classification using ensemble of CLIP, EfficientNet and CatBoost models

Yaroslav Egorov

专题命中 工作流自动化 ：workflow(abstract)

Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge

Jenna Kline, Austin O'Quinn, Tanya Berger-Wolf, Christopher Stewart

专题命中 工作流自动化 ：workflow(abstract)

Journal ref 2024 IEEE/ACM Symposium on Edge Computing (SEC)

Vectorization of Persistence Diagrams for Topological Data Analysis in R and Python Using TDAvec Package

Aleksei Luchinsky, Umar Islambekov

机构 * Bowling Green State University（博伊尔格林州立大学） 纠错

专题命中 工作流自动化 ：workflow(abstract)

Comments 9 pages, 3 figures, 3 tables; minor changes: two more vectorizations are described