most citedLarge Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding

7 citations · 11 across the 4 of their papers we have counts for

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cs.CL2026

COACH meets QUORUM: A Framework and Pipeline for Aligning User, Expert and Developer Perspectives in LLM-generated Health Counselling

Yee Man Ng, Bram van Dijk, Pieter Beynen +5

Systems that collect data on sleep, mood, and activities can provide valuable lifestyle counselling to populations affected by chronic disease and its consequences. Such systems ar…

cs.CL2023

ChiSCor: A Corpus of Freely Told Fantasy Stories by Dutch Children for Computational Linguistics and Cognitive Science

Bram M. A. van Dijk, Max J. van Duijn, Suzan Verberne +1

In this resource paper we release ChiSCor, a new corpus containing 619 fantasy stories, told freely by 442 Dutch children aged 4-12. ChiSCor was compiled for studying how children…

cs.CL20234 cited

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…

cs.CL20237 cited

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…