🧑‍🔬 Oskar van der Wal

🏛️ Affiliations

🎓University of AmsterdamAmsterdam · Netherlands2020–2026 · 15 papersEmployment 2020–2026 · PhD candidate, Institute for Logic, Language and Computation🏛️European CommissionBrussels · Belgium2025Employment since 2025 · DG CNECT

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. Inseq: An Interpretability Toolkit for Sequence Generation Models (2023 · 97 citations)
   Most feature attribution research and tooling in NLP targets classification, where each input token gets a single importance score.
2. Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model (2023 · 19 citations)
   The paper asks whether gender bias in a language model can be traced to specific internal parts and then reduced by retraining only those parts.
3. The Birth of Bias: A case study on the evolution of gender bias in an English language model (2022 · 19 citations)
   Most work on gender bias in language models detects or removes it after training. This paper asks a prior question: how does a model become biased while it learns? The authors chose a small, fully transparent setup, an LSTM language model trained on an English Wikipedia corpus. They had complete access to the…

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. BLOOM: A 176B-Parameter Open-Access Multilingual Language Model ↗arXiv:2211.05100 · no summary yetBigScience Workshop et al.2022 · 1,606 citations
2. Inseq: An Interpretability Toolkit for Sequence Generation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Gabriele Sarti, Nils Feldhus, Ludwig Sickert, et al.2023 · 97 citations
3. Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language ModelBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPAbhijith Chintam, Rahel Beloch, Willem Zuidema, et al.2023 · 19 citations
4. The Birth of Bias: A case study on the evolution of gender bias in an English language modelWorkshop on Gender Bias in Natural Language ProcessingOskar Van Der Wal, Jaap Jumelet, Katrin Schulz, et al.2022 · 19 citations

🤝 Co-authors here

7 co-authors with a page, the most papers together first.

• Willem Zuidema ×2
• Arianna Bisazza
• Gabriele Sarti
• Jaap Jumelet
• Malvina Nissim
• Michael Hanna
• Nils Feldhus

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2023
• BigScience Episode – Workshop on Challenges & Perspectives in Creating Large Language Models
• BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP: BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP 2023
• Workshop on Gender Bias in Natural Language Processing: Workshop on Gender Bias in Natural Language Processing 2022

🔗 Cited by

Papers of our library cite their works 1,483 times (of the 149,439 papers whose bibliographies we read); 314 citing papers with a page here →.

Updated 31 October 2026

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