Oskar van der Wal

According to our database, Oskar van der Wal authored at least 11 papers between 2020 and 2026.

Collaborative distances:

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

2026

Improving Methodologies for Agentic Evaluations Across Domains: Leakage of Sensitive Information, Fraud and Cybersecurity Threats.

Ee Wei Seah, Yongsen Zheng, Naga Nikshith, Mahran Morsidi, Gabriel Waikin Loh Matienzo, Nigel Gay, Akriti Vij, Benjamin Chua, En Qi Ng, Sharmini Johnson, Vanessa Wilfred, Wan Sie Lee, Anna Davidson, Catherine Devine, Erin Zorer, Gareth Holvey, Harry Coppock, James Walpole, Jerome Wynee, Magda Dubois, Michael Schmatz, Patrick Keane, Sam Deverett, Bill Black, Bo Yan, Bushra Sabir, Frank Sun, Hao Zhang, Harriet Farlow, Helen Zhou, Lingming Dong, Qinghua Lu, Seung Jang, Sharif Abuadbba, Simon O'Callaghan, Suyu Ma, Tom Howroyd, Cyrus Fung, Fatemeh Azadi, Isar Nejadgholi, Krishnapriya Vishnubhotla, Pulei Xiong, Saeedeh Lohrasbi, Scott Buffett, Shahrear Iqbal, Sowmya Vajjala, Anna Safont-Andreu, Luca Massarelli, Oskar van der Wal, Simon Möller, Agnès Delaborde, Joris Duguépéroux, Nicolas Rolin, Romane Gallienne, Sarah Behanzin, Tom Seimandi, Akiko Murakami, Takayuki Semitsu, Teresa Tsukiji, Angela Kinuthia, Michael Michie, Stephanie Kasaon, Jean Wangari, Hankyul Baek, Jaewon Noh, Kihyuk Nam, Sang Seo, Sungpil Shin, Taewhi Lee, Yongsu Kim

CoRR, January, 2026

2025

PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs.

Oskar van der Wal, Pietro Lesci, Max Müller-Eberstein, Naomi Saphra, Hailey Schoelkopf, Willem H. Zuidema, Stella Biderman

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

fl-IRT-ing with Psychometrics to Improve NLP Bias Measurement.

Dominik Bachmann, Oskar van der Wal, Edita Chvojka, Willem H. Zuidema, Leendert van Maanen, Katrin Schulz

Minds Mach., December, 2024

Undesirable Biases in NLP: Addressing Challenges of Measurement.

Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem H. Zuidema, Katrin Schulz

J. Artif. Intell. Res., 2024

2023

ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation.

Jaap Jumelet, Michael Hanna, Marianne de Heer Kloots, Anna Langedijk, Charlotte Pouw, Oskar van der Wal

CoRR, 2023

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Stella Biderman, Hailey Schoelkopf, Quentin Gregory Anthony, Herbie Bradley, Kyle O'Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, Aviya Skowron, Lintang Sutawika, Oskar van der Wal

Proceedings of the International Conference on Machine Learning, 2023

Identifying and Adapting Transformer-Components Responsible for Gender Bias in an English Language Model.

Abhijith Chintam, Rahel Beloch, Willem H. Zuidema, Michael Hanna, Oskar van der Wal

Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Inseq: An Interpretability Toolkit for Sequence Generation Models.

Gabriele Sarti, Nils Feldhus, Ludwig Sickert, Oskar van der Wal

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

2022

Undesirable biases in NLP: Averting a crisis of measurement.

Oskar van der Wal, Dominik Bachmann, Alina Leidinger, Leendert van Maanen, Willem H. Zuidema, Katrin Schulz

CoRR, 2022

The Birth of Bias: A case study on the evolution of gender bias in an English language model.

Oskar van der Wal, Jaap Jumelet, Katrin Schulz, Willem H. Zuidema

CoRR, 2022

2020

The Grammar of Emergent Languages.

Oskar van der Wal, Silvan de Boer, Elia Bruni, Dieuwke Hupkes

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020