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 • 18 Oct 2022 • Tobias Hecking, Swathy Muthukrishnan, Alexander Weinert
We believe that this approach can be extended to efficiently solve parity games as well.
no code implementations • 4 Jun 2018 • Tobias Hecking, Loet Leydesdorff
Using the 6, 638 case descriptions of societal impact submitted for evaluation in the Research Excellence Framework (REF 2014), we replicate the topic model (Latent Dirichlet Allocation or LDA) made in this context and compare the results with factor-analytic results using a traditional word-document matrix (Principal Component Analysis or PCA).