no code implementations • NAACL (GeBNLP) 2022 • Sophie Jentzsch, Cigdem Turan
Pretrained language models are publicly available and constantly finetuned for various real-life applications.
1 code implementation • 2 Feb 2024 • Kai Konen, Sophie Jentzsch, Diaoulé Diallo, Peer Schütt, Oliver Bensch, Roxanne El Baff, Dominik Opitz, Tobias Hecking
This research explores strategies for steering the output of large language models (LLMs) towards specific styles, such as sentiment, emotion, or writing style, by adding style vectors to the activations of hidden layers during text generation.
no code implementations • 27 Jun 2023 • Sabine Theis, Sophie Jentzsch, Fotini Deligiannaki, Charles Berro, Arne Peter Raulf, Carmen Bruder
The acceptance of AI systems depends on information about the system's functions and performance, privacy and ethical considerations, as well as goal-supporting information tailored to individual preferences and information to establish trust in the system.
no code implementations • 27 Jun 2023 • Sophie Jentzsch, Cigdem Turan
Pretrained language models are publicly available and constantly finetuned for various real-life applications.
1 code implementation • 7 Jun 2023 • Sophie Jentzsch, Kristian Kersting
In a series of exploratory experiments around jokes, i. e., generation, explanation, and detection, we seek to understand ChatGPT's capability to grasp and reproduce human humor.
no code implementations • 11 Dec 2019 • Patrick Schramowski, Cigdem Turan, Sophie Jentzsch, Constantin Rothkopf, Kristian Kersting
But has BERT also a better moral compass?