A Post-Processing Framework for Crowd Worker Responses Using Large Language Models

To develop quality crowdsourcing systems, aggregating responses from workers is a critical issue. However, it has been difficult to construct an automatic mechanism that flexibly aggregates worker responses in natural language. Accordingly, responses need to be collected in a standardized format, su...

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Bibliographic Details
Main Authors: Ryuya Itano, Tatsuki Tamano, Takahiro Koita, Honoka Tanitsu
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2023-04-01
Series:Journal of Systemics, Cybernetics and Informatics
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Online Access:http://www.iiisci.org/Journal/PDV/sci/pdfs/CK528SF23.pdf
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