activity
20232026
most citedLarge Language Models: The Need for Nuance in Current Debates and a Pragmatic Perspective on Understanding

7 citations · 12 across the 9 of their papers we have counts for

collaborators

9 papers

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.IR2026

OpenExtract: Automated Data Extraction for Systematic Reviews in Health

Jim Achterberg, Bram Van Dijk, Jing Meng +8

This study presents OpenExtract, an open-source pipeline for automated data extraction in large-scale systematic literature reviews. The pipeline queries large language models (LLM…

cs.LG2026

XGenBoost: Synthesizing Small and Large Tabular Datasets with XGBoost

Jim Achterberg, Marcel Haas, Bram van Dijk +1

Tree ensembles such as XGBoost are often preferred for discriminative tasks in mixed-type tabular data, due to their inductive biases, minimal hyperparameter tuning, and training e…

cs.CL2025

Out of the Box, into the Clinic? Evaluating State-of-the-Art ASR for Clinical Applications for Older Adults

Bram van Dijk, Tiberon Kuiper, Sirin Aoulad si Ahmed +5

Voice-controlled interfaces can support older adults in clinical contexts -- with chatbots being a prime example -- but reliable Automatic Speech Recognition (ASR) for underreprese…

cs.CY2025

Welzijn.AI: Developing Responsible Conversational AI for Elderly Care through Stakeholder Involvement

Bram van Dijk, Armel Lefebvre, Marco Spruit

We present Welzijn.AI as new digital solution for monitoring (mental) well-being in elderly populations, and illustrate how development of systems like Welzijn.AI can align with gu…

cs.CY2024★ 1 cited

A Novel Taxonomy for Navigating and Classifying Synthetic Data in Healthcare Applications

Bram van Dijk, Saif ul Islam, Jim Achterberg +6

Data-driven technologies have improved the efficiency, reliability and effectiveness of healthcare services, but come with an increasing demand for data, which is challenging due t…

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.CL2023★ 4 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.CL2023★ 7 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…