Human-in-the-loop Workflows
Human-In-The-Loop Workflows is a workflow design paradigm in which human agents are intentionally integrated into the execution and decision-making processes of automated systems to enhance accuracy, adaptability, and contextual understanding, distinguishing it from fully automated or manual workflow approaches.
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3.6K
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290
Authors
121
Institutions
Publications per year
2017–2026
43
Variants
Hitl Workflows
Parents
75
ACM Transactions on Graphics · 2020 · 242 citations · Full text
Wings: Intelligent Workflow-Based Design of Computational Experiments
Yolanda Gil, Varun Ratnakar, Jihie Kim et al. · IEEE Intelligent Systems · 2010 · 211 citations
MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
Sirui Hong, Xiawu Zheng, Yuheng Cheng et al. · arXiv (Cornell University) · 2023 · 139 citations · Full text
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121
University of Washington
Seattle, United States
6 h-index
14 publications
840 citations
San Jose State University
San Jose, United States
4 h-index
12 publications
154 citations

Ames Research Center
Mountain View, United States
4 h-index
8 publications
118 citations
Carnegie Mellon University
Pittsburgh, United States
3 h-index
9 publications
277 citations

Universitat Pompeu Fabra
Barcelona, Spain
2 h-index
2 publications
111 citations
Georgetown University
Washington, United States
2 h-index
4 publications
70 citations
Georgia Institute of Technology
Atlanta, United States
2 h-index
6 publications
350 citations
University of California, Berkeley
Berkeley, United States
2 h-index
5 publications
373 citations
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Repository · 3 publications · 105 citations
3
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Repository · 3 publications · 223 citations
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Conference · 2 publications · 187 citations
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2 publications · 242 citations
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1 publications · 70 citations
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