2 code implementations • 10 Nov 2023 • Maxime Delmas, Magdalena Wysocka, André Freitas
In addition to their evaluation in few-shot settings, we explore the potential of open Large Language Models (Vicuna-13B) as synthetic data generator and propose a new workflow for this purpose.
1 code implementation • 28 May 2023 • Magdalena Wysocka, Oskar Wysocki, Maxime Delmas, Vincent Mutel, Andre Freitas
The results show that while LLMs are currently not fit for purpose to be used as biomedical factual knowledge bases, there is a promising emerging property in the direction of factuality as the models become domain specialised, scale-up in size and level of human feedback.
no code implementations • 2 Jul 2022 • Magdalena Wysocka, Oskar Wysocki, Marie Zufferey, Dónal Landers, André Freitas
We discuss the recent evolutionary arch of DL models in the direction of integrating prior biological relational and network knowledge to support better generalisation (e. g. pathways or Protein-Protein-Interaction networks) and interpretability.
no code implementations • 20 Jun 2022 • Alex Bogatu, Magdalena Wysocka, Oskar Wysocki, Holly Butterworth, Donal Landers, Elaine Kilgour, Andre Freitas
Cytokine release syndrome (CRS), also known as cytokine storm, is one of the most consequential adverse effects of chimeric antigen receptor therapies that have shown promising results in cancer treatment.
no code implementations • 4 Feb 2022 • Oskar Wysocki, Zili Zhou, Paul O'Regan, Deborah Ferreira, Magdalena Wysocka, Dónal Landers, André Freitas
Specialised transformers-based models (such as BioBERT and BioMegatron) are adapted for the biomedical domain based on publicly available biomedical corpora.