Pieter Delobelle

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders et al. · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · 2022 · 51 citations · Full text

Bias Metrics, Fairness In Natural Language Processing, Large Language Model +23

RobBERT: a Dutch RoBERTa-based Language Model

Pieter Delobelle, Thomas Winters, Bettina Berendt · 2020 · 31 citations · Full text

Algorithmic Tools in Public Employment Services: Towards a Jobseeker-Centric Perspective

Kristen M. Scott, Sonja Mei Wang, Milagros Miceli et al. · 2022 ACM Conference on Fairness, Accountability, and Transparency · 2022 · 26 citations · Full text

Ethical Adversaries

Pieter Delobelle, Paul Temple, Gilles Perrouin et al. · ACM SIGKDD Explorations Newsletter · 2021 · 22 citations

Dataset Bias, Artificial Intelligence, Engineering +12

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

Pieter Delobelle, Ewoenam Kwaku Tokpo, Toon Calders et al. · arXiv (Cornell University) · 2021 · 12 citations · Full text

Llm Fine-tuning, Engineering, Fairness In Natural Language Processing +22