Sep 2, 2024 · We propose a novel design AdaShifter: Adaptive Online Shifter via an online incremental learning process, in which the algorithm is an intermediary layer.
Sep 2, 2024 · We propose a novel design AdaShifter: Adaptive Online Shifter via an online incremental learning process, in which the algorithm is an intermediary layer.
Sep 4, 2024 · The work outlines the development of a data curation and data provenance framework in the EUDAT Collaborative Data Infrastructure. Practical use ...
Oct 22, 2021 · Jiang SZhang L(2024)AdaShifter: An Online Data Annotation Framework Under Human-Machine CollaborationDatabase Systems for Advanced ...
... human-machine learning (ML) collaboration framework aimed at ... AdaShifter: An Online Data Annotation Framework Under Human-Machine Collaboration.
Apr 11, 2024 · In this position paper, we discuss the potential for leveraging LLMs as interactive research tools to facilitate collaboration between human coders and AI.
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Our model seamlessly integrates multiple computer vision models with multiple sources of human input in a. Markov Decision Process. We empirically validate the ...
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We introduce Fluid Annotation, an intuitive human-machine collaboration interface for annotating the class label and outline of every object and background ...
Missing: AdaShifter: Framework
In this paper, we introduce a novel generic annotation framework, with the aim to achieve the optimal tradeoff between label reliability and cost reduction.
Missing: AdaShifter: Online Collaboration.
In this study, we investigate to what extent a large language model can assist a human annotator in creating a gold corpus for semantic parsing of textual ...
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