Bram van Dijk

According to our database, Bram van Dijk authored at least 17 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

OpenExtract: Automated Data Extraction for Systematic Reviews in Health.

Jim Achterberg, Bram van Dijk, Jing Meng, Saif ul Islam, Gregory Epiphaniou, Carsten Maple, Xuefei Ding, Theodoros N. Arvanitis, Simon Brouwer, Marcel R. Haas, Marco Spruit

CoRR, March, 2026

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, Otto Boekesteijn, Joris Jansen, Gerard van Oortmerssen, Max J. van Duijn, Marco Spruit

CoRR, March, 2026

XGenBoost: Synthesizing Small and Large Tabular Datasets with XGBoost.

Jim Achterberg, Marcel R. Haas, Bram van Dijk, Marco Spruit

CoRR, March, 2026

2025

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, Armel Levebvre, Jake Johnson, Jan Duin, Simon Mooijaart, Marco Spruit

CoRR, August, 2025

The Data Sharing Paradox of Synthetic Data in Healthcare.

Jim Achterberg, Bram van Dijk, Saif ul Islam, Hafiz Muhammad Waseem, Parisis Gallos, Gregory Epiphaniou, Carsten Maple, Marcel R. Haas, Marco Spruit

CoRR, March, 2025

Welzijn.AI: A Conversational AI System for Monitoring Mental Well-being and a Use Case for Responsible AI Development.

Bram van Dijk, Armel Lefebvre, Marco Spruit

CoRR, February, 2025

Fidelity-agnostic synthetic data generation improves utility while retaining privacy.

Jim Achterberg, Marcel R. Haas, Bram van Dijk, Marco Spruit

Patterns, 2025

2024

A Review of Challenges in Speech-based Conversational AI for Elderly Care.

Willemijn Klaassen, Bram van Dijk, Marco Spruit

CoRR, 2024

The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication.

Tom Kouwenhoven, Max Peeperkorn, Bram van Dijk, Tessa Verhoef

CoRR, 2024

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

Bram van Dijk, Saif ul Islam, Jim Achterberg, Hafiz Muhammad Waseem, Parisis Gallos, Gregory Epiphaniou, Carsten Maple, Marcel R. Haas, Marco Spruit

Proceedings of the Collaboration across Disciplines for the Health of People, Animals and Ecosystems, 2024

Modelling Pragmatic Inference in Children's Use of Perception Verbs with Language Models.

Bram van Dijk, Max J. van Duijn, Li Kloostra, Marco Spruit, Barend Beekhuizen

Proceedings of the 46th Annual Meeting of the Cognitive Science Society, 2024

2023

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

Bram van Dijk, Tom Kouwenhoven, Marco Spruit, Max Johannes van Duijn

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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 van Dijk, Tom Kouwenhoven, Werner de Valk, Marco Spruit, Peter van der Putten

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

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

Bram van Dijk, Max J. van Duijn, Suzan Verberne, Marco Spruit

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

Theory of Mind in Freely-Told Children's Narratives: A Classification Approach.

Bram van Dijk, Marco Spruit, Max J. van Duijn

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Cacatoo: building, exploring, and sharing spatially structured models of biological systems.

Bram van Dijk

J. Open Source Softw., 2022

2021

Modelling Characters' Mental Depth in Stories Told by Children Aged 4-10.

Bram van Dijk, Max J. van Duijn

Proceedings of the 43rd Annual Meeting of the Cognitive Science Society, 2021