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