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AI-Assisted Human Labeling: Batching for Efficiency without Overreliance., , , , , , , , , and 4 other author(s). Proc. ACM Hum. Comput. Interact., 5 (CSCW1): 89:1-89:27 (2021)Exploring Prompt Engineering Practices in the Enterprise., and . CoRR, (2024)A Goal-Driven Natural Language Interface for Creating Application Integration Workflows., , , , , , , , , and 7 other author(s). AAAI, page 13155-13157. AAAI Press, (2022)A sensemaking analysis of API learning using React., and . J. Comput. Lang., (January 2023)Increasing the Speed and Accuracy of Data Labeling Through an AI Assisted Interface., , , , , , , , , and 1 other author(s). IUI, page 392-401. ACM, (2021)AI Assisted Data Labeling with Interactive Auto Label., , , , , , and . AAAI, page 13161-13163. AAAI Press, (2022)SME-in-the-loop: Interaction Preferences when Supervising Bots in Human-AI Communities., , , , , , and . Conference on Designing Interactive Systems, page 2281-2303. ACM, (2023)Semi-Automated Data Labeling., , , , and . NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 156-169. PMLR, (2020)Reliance and Automation for Human-AI Collaborative Data Labeling Conflict Resolution., , , , , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1-27 (2022)Follow the Successful Herd: Towards Explanations for Improved Use and Mental Models of Natural Language Systems., , , , , , , , , and 4 other author(s). IUI, page 220-239. ACM, (2023)