Harnessing AI Agents to Advance Research on Refugee Child Mental Health
Aditya Shrivastava, Komal Gupta, Shraddha Arora
专题命中
工作流自动化
:AI agent(title);分类 cs.AI
Comments14 page , 2 image , 2 tables , accepted under 5th International Conference on Innovations in Computational Intelligence and Computer Vision (ICICV-2025)
机构
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School of Computer and Information Technology, Shanxi University, China(山西大学计算机与信息学院)
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Institute of Automation, Chinese Academy of Science, China(中国科学院自动化研究所)
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Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, China(教育部计算智能与中文信息处理重点实验室)
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Joint Laboratory of Tourism Big Data in Shanxi Province, China(山西省旅游大数据联合实验室)
专题命中
工作流自动化
:agent(title);分类 cs.CL
Journal refProceedings of the 63th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (ACL2025)
机构
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Key Laboratory of Quantum State Construction and Manipulation (Ministry of Education)(量子态构造与操控重点实验室)
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Hefei National Laboratory(合肥国家实验室)
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Gaoling School of Artificial Intelligence(甘露人工智能学院)
AI Sustainability in Practice Part Two: Sustainability Throughout the AI Workflow
David Leslie, Cami Rincon, Morgan Briggs, Antonella Perini, Smera Jayadeva, Ann Borda, SJ Bennett, Christopher Burr, Mhairi Aitken, Michael Katell, Claudia Fischer, Janis Wong, Ismael Kherroubi Garcia
Integrative Imaging Informatics for Cancer Research: Workflow Automation for Neuro-oncology (I3CR-WANO)
Satrajit Chakrabarty, Syed Amaan Abidi, Mina Mousa, Mahati Mokkarala, Isabelle Hren, Divya Yadav, Matthew Kelsey, Pamela LaMontagne, John Wood, Michael Adams, Yuzhuo Su, Sherry Thorpe, Caroline Chung, Aristeidis Sotiras, Daniel S. Marcus
Applying Physics-Informed Enhanced Super-Resolution Generative Adversarial Networks to Turbulent Non-Premixed Combustion on Non-Uniform Meshes and Demonstration of an Accelerated Simulation Workflow
Irina A. Lomazova, Alexey A. Mitsyuk, Andrey Rivkin
专题命中
工作流自动化
:workflow(title);分类 cs.AI
CommentsThis is an ongoing work that introduces basic notions and theoretical results needed for establishing the theoretical framework for checking soundness of object-centric Petri nets