Sarah Fabi

13 papers B 3Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Chains of Thought: Benchmarking Latent-Space Reasoning Abilities in Large Language Models.
CoRR
Thilo Hagendorff, Sarah Fabi
2024 J jnl
Why we need biased AI: How including cognitive biases can enhance AI systems.
J. Exp. Theor. Artif. Intell.
Thilo Hagendorff, Sarah Fabi
2023 J jnl
Extending the Omniglot Challenge: Imitating Handwriting Styles on a New Sequential Data Set.
IEEE Trans. Cogn. Dev. Syst.
Sarah Fabi, Sebastian Otte, Fedor Scholz, Julius Wührer, Matthias Karlbauer, Martin V. Butz
2023 J jnl
Human-like intuitive behavior and reasoning biases emerged in large language models but disappeared in ChatGPT.
Nat. Comput. Sci.
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
2023 J jnl
Methodological reflections for AI alignment research using human feedback.
CoRR
Thilo Hagendorff, Sarah Fabi
2022 B conf
Efficient learning through compositionality in a CNN-RNN model consisting of a bottom-up and a top-down pathway.
CogSci
Sarah Fabi, Lena Holzwarth, Martin V. Butz
2022 B conf
Exploring the Racial Bias in Pain Detection with a Computer Vision Model.
CogSci
Sarah Fabi, Xiaojing Xu, Virginia de Sa
2022 J jnl
Machine intuition: Uncovering human-like intuitive decision-making in GPT-3.5.
CoRR
Thilo Hagendorff, Sarah Fabi, Michal Kosinski
2022 J jnl
Why we need biased AI - How including cognitive and ethical machine biases can enhance AI systems.
CoRR
Sarah Fabi, Thilo Hagendorff
2021 — conf
Fostering Compositionality in Latent, Generative Encodings to Solve the Omniglot Challenge.
ICANN (2)
Sarah Fabi, Sebastian Otte, Martin V. Butz
2020 — conf
Investigating Efficient Learning and Compositionality in Generative LSTM Networks.
ICANN (1)
Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020 J jnl
Investigating Efficient Learning and Compositionality in Generative LSTM Networks.
CoRR
Sarah Fabi, Sebastian Otte, Jonas Gregor Wiese, Martin V. Butz
2020 B conf
Sequence Classification using Ensembles of Recurrent Generative Expert Modules.
ESANN
Marius Hobbhahn, Martin V. Butz, Sarah Fabi, Sebastian Otte