7 citations · 11 across the 4 of their papers we have counts for
4 papers
Searching for Structure: Investigating Emergent Communication with Large Language Models
Tom Kouwenhoven, Max Peeperkorn, Tessa Verhoef
Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape lingui…
Memory-Augmented Generative Adversarial Transformers
Stephan Raaijmakers, Roos Bakker, Anita Cremers +3
Conversational AI systems that rely on Large Language Models, like Transformers, have difficulty interweaving external data (like facts) with the language they generate. Vanilla Tr…
Theory of Mind in Large Language Models: Examining Performance of 11 State-of-the-Art models vs. Children Aged 7-10 on Advanced Tests
Max J. van Duijn, Bram M. A. van Dijk, Tom Kouwenhoven +3
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)? Her…
Large Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding
Bram M. A. van Dijk, Tom Kouwenhoven, Marco R. Spruit +1
Current Large Language Models (LLMs) are unparalleled in their ability to generate grammatically correct, fluent text. LLMs are appearing rapidly, and debates on LLM capacities hav…