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Sven Eckhardt
Sven Eckhardt
University of Zurich
Bestätigte E-Mail-Adresse bei uzh.ch - Startseite
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Zitiert von
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What your radiologist might be missing: using machine learning to identify mislabeled instances of X-ray images
T Rädsch, S Eckhardt, F Leiser, KD Pandl, S Thiebes, A Sunyaev
122021
From chatgpt to factgpt: A participatory design study to mitigate the effects of large language model hallucinations on users
F Leiser, S Eckhardt, M Knaeble, A Maedche, G Schwabe, A Sunyaev
Proceedings of Mensch und Computer 2023, 81-90, 2023
102023
“Garbage In, Garbage Out”: Mitigating Human Biases in Data Entry by Means of Artificial Intelligence
S Eckhardt, M Knaeble, A Bucher, D Staehelin, M Dolata, D Agotai, ...
IFIP Conference on Human-Computer Interaction, 27-48, 2023
32023
Federated learning as a solution for problems related to intergovernmental data sharing
K Sprenkamp, J Delgado Fernandez, S Eckhardt, L Zavolokina
University of Zurich, 2023
22023
Secondary Mental Models: Introducing Conversational Agents in Financial Advisory Service Encounters
S Eckhardt, A Bucher, MH Kalunder, M Dolata, D Agotai, G Schwabe
12023
Can artificial intelligence help used-car dealers survive in a data-driven used-car market?
S Eckhardt, K Sprenkamp, L Zavolokina, I Bauer, G Schwabe
International Conference on Design Science Research in Information Systems …, 2022
12022
HILL: A Hallucination Identifier for Large Language Models
F Leiser, S Eckhardt, V Leuthe, M Knaeble, A Maedche, G Schwabe, ...
arXiv preprint arXiv:2403.06710, 2024
2024
Talking to Multi-Party Conversational Agents in Advisory Services: Command-based vs. Conversational Interactions
A Bucher, M Dolata, S Eckhardt, D Staehelin, G Schwabe
Proceedings of the ACM on Human-Computer Interaction 8 (GROUP), 1-25, 2024
2024
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