★ indicates shared first authorship.

In Prep.

  • Sarti, G., Feldhus, N., Sickert, L., van der Wal, O. Inseq: An Interpretability Toolkit for Sequence Generation Models. ArXiv. [paper]
  • van der Wal, O.★, Bachmann, D.★, Leidinger, A., Van Maanden, L., Zuidema, J., Schulz, K. Undesirable biases in NLP: Averting a crisis of measurement. ArXiv. [paper]


  • van der Wal, O., Jumelet, J., Schulz, K., Zuidema, W. The Birth of Bias: A case study on the evolution of gender bias in an English language model. In Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP). 2022. [paper]
  • Scao, T.L., et al. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. ArXiv. [paper]
  • Talat, Z., Névéol, A, ..., van der Wal, O. You reap what you sow: On the Challenges of Bias Evaluation Under Multilingual Settings. In Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models. [paper]


  • van der Wal, O., de Boer, S., Bruni, E. and Hupkes, D. The grammar of emergent languages. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 3339--3359. [paper] [presentation] [code]