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Merlin Knaeble
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2020 – today
- 2024
- [c11]Florian Leiser
, Sven Eckhardt
HILL: A Hallucination Identifier for Large Language Models. CHI 2024: 482:1-482:13 - [c10]Jonas Gunklach, Mario Nadj, Merlin Knaeble, Isabela Bragaglia, Alexander Mädche:
Designing for Effective Human-Guided Machine Learning Feasibility Analysis. ICIS 2024 - [i2]Florian Leiser, Sven Eckhardt, Valentin Leuthe, Merlin Knaeble, Alexander Maedche, Gerhard Schwabe, Ali Sunyaev:
HILL: A Hallucination Identifier for Large Language Models. CoRR abs/2403.06710 (2024) - 2023
- [c9]Merlin Knaeble, Mario Nadj, Luisa Germann, Alexander Maedche:
Tools of Trade of the Next Blue-Collar Job? Antecedents, Design Features, and Outcomes of Interactive Labeling Systems. ECIS 2023 - [c8]Sven Eckhardt
"Garbage In, Garbage Out": Mitigating Human Biases in Data Entry by Means of Artificial Intelligence. INTERACT (3) 2023: 27-48 - [c7]Florian Leiser
From ChatGPT to FactGPT: A Participatory Design Study to Mitigate the Effects of Large Language Model Hallucinations on Users. MuC 2023: 81-90 - [c6]Merlin Knaeble
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A 2023: 104-115 - [c5]Merlin Knaeble
AutoChemplete - Making Chemical Structural Formulas Accessible. W4A 2023: 173-174 - 2022
- [c4]Merlin Knaeble, Zihan Chen, Thorsten Schwarz, Gabriel Sailer, Kailun Yang
Accessible Chemical Structural Formulas Through Interactive Document Labeling. ICCHP-AAATE (1) 2022: 38-46 - [c3]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. ICPR 2022: 1607-1613 - [i1]Lukas Schölch, Jonas Steinhäuser, Maximilian Beichter, Constantin Seibold, Kailun Yang, Merlin Knäble, Thorsten Schwarz, Alexander Mädche, Rainer Stiefelhagen:
Towards Automatic Parsing of Structured Visual Content through the Use of Synthetic Data. CoRR abs/2204.14136 (2022) - 2021
- [c2]Markus Foerste, Mario Nadj, Merlin Knaeble, Alexander Maedche, Leonie Gehrmann, Florian Stahl
An Interactive Machine Learning System for Image Advertisements. MuC 2021: 574-577 - 2020
- [j1]Mario Nadj, Merlin Knaeble, Maximilian Xiling Li
Power to the Oracle? Design Principles for Interactive Labeling Systems in Machine Learning. Künstliche Intell. 34(2): 131-142 (2020) - [c1]Merlin Knaeble, Mario Nadj, Alexander Maedche:
Oracle or Teacher? A Systematic Overview of Research on Interactive Labeling for Machine Learning. Wirtschaftsinformatik (Zentrale Tracks) 2020: 2-16
Coauthor Index
aka: Alexander Mädche
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