Crowdsourcing Platform
Crowdsourcing platforms leverage distributed human intelligence to solve complex tasks, primarily focusing on data annotation and model evaluation for machine learning. Current research emphasizes improving data quality through techniques like spam detection, just-in-time AI interventions to guide annotators, and optimized task design for efficient preference-based evaluations. This field is crucial for advancing AI, enabling large-scale data collection for training and evaluation of models across diverse domains, while also raising important ethical considerations regarding worker compensation, data privacy, and bias mitigation.
Papers
November 1, 2024
May 4, 2024
April 4, 2024
March 14, 2024
March 13, 2024
March 10, 2024
January 25, 2024
November 9, 2023
March 31, 2023
March 6, 2023
July 5, 2022
June 9, 2022
April 26, 2022
April 21, 2022
January 24, 2022
December 8, 2021