Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. - Merlin Knaeble; Mario Nadj; Alexander Maedche (Wirtschaftsinformatik (Zentrale Tracks), 2020)

Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. - Mario Nadj; Merlin Knaeble; Maximilian Xiling Li; Alexander Maedche (Künstliche Intell., 2020)

An Interactive Machine Learning System for Image Advertisements. - Markus Foerste; Mario Nadj; Merlin Knaeble; Alexander Maedche; Leonie Gehrmann; Florian Stahl (MuC, 2021)

Accessible Chemical Structural Formulas Through Interactive Document Labeling. - Merlin Knaeble; Zihan Chen; Thorsten Schwarz; Gabriel Sailer; Kailun Yang 001; Rainer Stiefelhagen; Alexander Maedche (ICCHP-AAATE (1), 2022)

Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. - Lukas Schölch; Jonas Steinhäuser; Maximilian Beichter; Constantin Seibold; Kailun Yang 001; Merlin Knaeble; Thorsten Schwarz; Alexander Maedche; Rainer Stiefelhagen (ICPR, 2022)

Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems. - Merlin Knaeble; Mario Nadj; Luisa Germann; Alexander Maedche (ECIS, 2023)

"Garbage In, Garbage Out": Mitigating Human Biases in Data Entry by Means of Artificial Intelligence. - Sven Eckhardt; Merlin Knaeble; Andreas Bucher; Dario Staehelin; Mateusz Dolata; Doris Agotai; Gerhard Schwabe (INTERACT (3), 2023)

From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users. - Florian Leiser; Sven Eckhardt; Merlin Knaeble; Alexander Maedche; Gerhard Schwabe; Ali Sunyaev (MuC, 2023)

AutoChemplete - Making Chemical Structural Formulas Accessible. - Merlin Knaeble; Gabriel Sailer; Zihan Chen; Thorsten Schwarz; Kailun Yang 001; Mario Nadj; Rainer Stiefelhagen; Alexander Maedche (W4A, 2023)

HILL: A Hallucination Identifier for Large Language Models. - Florian Leiser; Sven Eckhardt; Valentin Leuthe; Merlin Knaeble; Alexander Mädche; Gerhard Schwabe; Ali Sunyaev (CHI, 2024)

Designing for Effective Human-Guided Machine Learning Feasibility Analysis. - Jonas Gunklach; Mario Nadj; Merlin Knaeble; Isabela Bragaglia; Alexander Mädche (ICIS, 2024)