See my Google Scholar profile for a more complete list.
- Tom Kouwenhoven, Max Peeperkorn, Roy de Kleijn, and Tessa Verhoef. (2025). Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication. In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-25, pages 10298–10306.
International Joint Conferences on Artificial Intelligence Organization. Human-Centred AI IJCAI'25 pdf
- Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous. (2025). Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models. preprint
- Tom Kouwenhoven, Max Peeperkorn, Bram Van Dijk, and Tessa Verhoef. (2024). The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication. In Proceedings of the Workshop on Cognitive Modeling and Computational Linguistics, pages 57–71, Bangkok, Thailand.
Association for Computational Linguistics. CMCL'24 pdf
- Max Peeperkorn, Tom Kouwenhoven, Dan Brown, and Anna Jordanous. (2024). Is temperature the creativity parameter of large language models? In 15th International Conference on Computational Creativity. Association for Computational Creativity.
- D. Brown and M. Peeperkorn (2023). Reviewing, creativity, and algorithmic information theory. In 14th International Conference on Computational Creativity, pages 133–142.
Association for Computational Creativity. ICCC'23
- Max Peeperkorn, Dan Brown, and Anna Jordanous. (2023). On characterizations of large language models and creativity evaluation. In 14th International Conference on Computational Creativity, pages 143–147.
Association for Computational Creativity. ICCC'23
- Piotr Sawicki, Marek Grzes, Fabricio. Goes, Dan Brown, Max Peeperkorn, and Aisha Khatun. (2023). Bits of grass: Does GPT already know how to write like Whitman? In 14th International Conference on Computational Creativity, pages 317–321.
Association for Computational Creativity. ICCC'23
- Piotr Sawicki, Marek Grzes, Fabricio. Goes, Dan Brown, Max Peeperkorn, and Aisha Khatun. (2023). On the power of special-purpose GPT models to create and evaluate new poetry in old styles. In 14th International Conference on Computational Creativity, pages 10–19.
Association for Computational Creativity. ICCC'23
- Max Peeperkorn (2022). Artificial creative societies: Adaption, intention, and evaluation. In Creativity and Cognition, C&C'22, pages 704–707, New York, NY, USA.
Association for Computing Machinery. C&C'22
- Max Peeperkorn, Rob Saunders, Oliver Bown, and Anna Jordanous. (2022). Mechanising conceptual spaces using variational autoencoders. In 13th International Conference on Computational Creativity, pages 287–290.
Association of Computational Creativity. ICCC'22
- Piotr Sawicki, Marek Grzes, Anna Jordanous, Dan Brown, and Max Peeperkorn. (2022). Training GPT-2 to represent two romantic-era authors: challenges, evaluations and pitfalls. In 13th International Conference on Computational Creativity, pages 34–43.
Association of Computational Creativity. ICCC'22
- Max Peeperkorn, Oliver Bown, and Rob Saunders. (2020). The maintenance of conceptual spaces through social interactions. In BNAIC/BeneLearn 2020, pages 430–431.
Benelux Association for Artificial Intelligence. Master Thesis Abstract BNAIC'20