ChapGTP, ILLC's Attempt at Raising a BabyLM: Improving Data Efficiency by Automatic Task Formation. - Jaap Jumelet; Michael Hanna 001; Marianne de Heer Kloots; Anna Langedijk; Charlotte Pouw; Oskar van der Wal (CoRR, 2023)

Human-like Linguistic Biases in Neural Speech Models: Phonetic Categorization and Phonotactic Constraints in Wav2Vec2.0. - Marianne de Heer Kloots; Willem H. Zuidema (INTERSPEECH, 2024)

Perception of Phonological Assimilation by Neural Speech Recognition Models. - Charlotte Pouw; Marianne de Heer Kloots; Afra Alishahi; Willem H. Zuidema (Comput. Linguistics, 2024)

Modelling Multimodal Integration in Human Concept Processing with Vision-and-Language Models. - Anna Bavaresco; Marianne de Heer Kloots; Sandro Pezzelle; Raquel Fernández (CoRR, 2024)

Exploring bat song syllable representations in self-supervised audio encoders. - Marianne de Heer Kloots; Mirjam Knörnschild (CoRR, 2024)

What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training. - Marianne de Heer Kloots; Hosein Mohebbi; Charlotte Pouw; Gaofei Shen; Willem H. Zuidema; Martijn Bentum (CoRR, 2025)