Cite
LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems
MLA
Li, Chu, et al. LabelAId: Just-in-Time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. 2024. EBSCOhost, https://doi.org/10.1145/3613904.3642089.
APA
Li, C., Zhang, Z., Saugstad, M., Safranchik, E., Kulkarni, M., Huang, X., Patel, S., Iyer, V., Althoff, T., & Froehlich, J. E. (2024). LabelAId: Just-in-time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems. https://doi.org/10.1145/3613904.3642089
Chicago
Li, Chu, Zhihan Zhang, Michael Saugstad, Esteban Safranchik, Minchu Kulkarni, Xiaoyu Huang, Shwetak Patel, Vikram Iyer, Tim Althoff, and Jon E. Froehlich. 2024. “LabelAId: Just-in-Time AI Interventions for Improving Human Labeling Quality and Domain Knowledge in Crowdsourcing Systems.” doi:10.1145/3613904.3642089.