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Sarah Fabi
Sarah Fabi
Mercedes-Benz AG
Verified email at uni-tuebingen.de
Title
Cited by
Cited by
Year
Empathic concern and personal distress depend on situational but not dispositional factors
S Fabi, LA Weber, H Leuthold
PloS one 14 (11), e0225102, 2019
662019
Human-Like Intuitive Behavior and Reasoning Biases Emerged in Language Models--and Disappeared in GPT-4
T Hagendorff, S Fabi
arXiv preprint arXiv:2306.07622, 2023
45*2023
Empathy for pain influences perceptual and motor processing: Evidence from response force, ERPs, and EEG oscillations
S Fabi, H Leuthold
Social Neuroscience 12 (6), 701-716, 2017
452017
Racial bias in empathy: Do we process dark-and fair-colored hands in pain differently? An EEG study
S Fabi, H Leuthold
Neuropsychologia 114, 143-157, 2018
412018
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT
T Hagendorff, S Fabi, M Kosinski
Nature Computational Science 3 (10), 833-838, 2023
262023
Why we need biased AI: How including cognitive biases can enhance AI systems
T Hagendorff, S Fabi
Journal of Experimental & Theoretical Artificial Intelligence, 1-14, 2023
92023
Investigating efficient learning and compositionality in generative lstm networks
S Fabi, S Otte, JG Wiese, MV Butz
Artificial Neural Networks and Machine Learning–ICANN 2020: 29th …, 2020
62020
Exploring the racial bias in pain detection with a computer vision model
S Fabi, X Xu, V de Sa
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
52022
Thinking Fast and Slow in Large Language Models
T Hagendorff, S Fabi, M Kosinski
arXiv preprint arXiv:2212.05206, 2022
32022
Extending the omniglot challenge: imitating handwriting styles on a new sequential dataset
S Fabi, S Otte, F Scholz, J Wührer, M Karlbauer, MV Butz
IEEE Transactions on Cognitive and Developmental Systems, 2022
32022
Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway
S Fabi, L Holzwarth, MV Butz
Proceedings of the Annual Meeting of the Cognitive Science Society 44 (44), 2022
32022
Fostering compositionality in latent, generative encodings to solve the omniglot challenge
S Fabi, S Otte, MV Butz
International Conference on Artificial Neural Networks, 525-536, 2021
32021
Compositionality as learning bias in generative RNNs solves the omniglot challenge
S Fabi, S Otte, MV Butz
Learning to Learn-Workshop at ICLR 2021, 2021
32021
Methodological reflections for AI alignment research using human feedback
T Hagendorff, S Fabi
arXiv preprint arXiv:2301.06859, 2022
22022
Exploring Biases in Facial Expression Analysis using Synthetic Faces
R Raina, M Monares, M Xu, S Fabi, X Xu, L Li, W Sumerfield, J Gan, ...
NeurIPS 2022 Workshop on Synthetic Data for Empowering ML Research, 2022
2022
Sequence Classification using Ensembles of Recurrent Generative Expert Modules.
M Hobbhahn, MV Butz, S Fabi, S Otte
ESANN, 333-338, 2020
2020
How do we process pain in others? Investigating behavioral and neural correlates of empathy
S Fabi
Universität Tübingen, 2018
2018
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Articles 1–17