no code implementations • 12 Feb 2024 • Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kuehnberger
Our research demonstrates the significant benefits of using fine-tuning with explanations to enhance the performance of language models.
no code implementations • 21 Jun 2023 • Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
They all have similar performance and they outperform transformers that are trained from scratch by a large margin.
1 code implementation • 21 Jun 2023 • Mohamad Ballout, Ulf Krumnack, Gunther Heidemann, Kai-Uwe Kühnberger
Investigating deep learning language models has always been a significant research area due to the ``black box" nature of most advanced models.
no code implementations • 20 Jan 2020 • Mohamad Ballout, Mohammad Tuqan, Daniel Asmar, Elie Shammas, George Sakr
In this paper, we study the value of using synthetically produced videos as training data for neural networks used for action categorization.