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From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users., , , , , and . MuC, page 81-90. ACM, (2023)Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems., , , and . ECIS, (2023)Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning., , , and . Künstliche Intell., 34 (2): 131-142 (2020)HILL: A Hallucination Identifier for Large Language Models., , , , , , and . CHI, page 482:1-482:13. ACM, (2024)An Interactive Machine Learning System for Image Advertisements., , , , , and . MuC, page 574-577. ACM, (2021)Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning., , and . Wirtschaftsinformatik (Zentrale Tracks), page 2-16. GITO Verlag, (2020)Accessible Chemical Structural Formulas Through Interactive Document Labeling., , , , , , and . ICCHP-AAATE (1), volume 13341 of Lecture Notes in Computer Science, page 38-46. Springer, (2022)Designing for Effective Human-Guided Machine Learning Feasibility Analysis., , , , and . ICIS, Association for Information Systems, (2024)HILL: A Hallucination Identifier for Large Language Models., , , , , , and . CoRR, (2024)Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data., , , , , , , , and . ICPR, page 1607-1613. IEEE, (2022)