no code implementations • 1 May 2024 • Max Peeperkorn, Tom Kouwenhoven, Dan Brown, Anna Jordanous
Large language models (LLMs) are applied to all sorts of creative tasks, and their outputs vary from beautiful, to peculiar, to pastiche, into plain plagiarism.
no code implementations • 29 Feb 2024 • Stephan Raaijmakers, Roos Bakker, Anita Cremers, Roy de Kleijn, Tom Kouwenhoven, Tessa Verhoef
Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they generate.
1 code implementation • 17 Nov 2023 • Thomas M. Moerland, Matthias Müller-Brockhausen, Zhao Yang, Andrius Bernatavicius, Koen Ponse, Tom Kouwenhoven, Andreas Sauter, Michiel van der Meer, Bram Renting, Aske Plaat
To solve this issue we introduce EduGym, a set of educational reinforcement learning environments and associated interactive notebooks tailored for education.
no code implementations • 31 Oct 2023 • Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven, Werner de Valk, Marco R. Spruit, Peter van der Putten
To what degree should we ascribe cognitive capacities to Large Language Models (LLMs), such as the ability to reason about intentions and beliefs known as Theory of Mind (ToM)?
no code implementations • 30 Oct 2023 • Bram M. A. van Dijk, Tom Kouwenhoven, Marco R. Spruit, Max J. van Duijn
Current Large Language Models (LLMs) are unparalleled in their ability to generate grammatically correct, fluent text.