Artificial Creative Societies: Adaption, Intention, and Evaluation. - Max Peeperkorn (Creativity & Cognition, 2022)

Mechanising Conceptual Spaces using Variational Autoencoders. - Max Peeperkorn; Rob Saunders; Oliver Bown 001; Anna Jordanous (ICCC, 2022)

Training GPT-2 to represent two Romantic-era authors: challenges, evaluations and pitfalls. - Piotr Sawicki; Marek Grzes; Anna Jordanous; Dan Brown 001; Max Peeperkorn (ICCC, 2022)

Reviewing, Creativity, and Algorithmic Information Theory. - Dan Brown 001; Max Peeperkorn (ICCC, 2023)

On Characterizations of Large Language Models and Creativity Evaluation. - Max Peeperkorn; Dan Brown 001; Anna Jordanous (ICCC, 2023)

Bits of Grass: Does GPT already know how to write like Whitman? - Piotr Sawicki; Marek Grzes; Fabrício Góes; Dan Brown 001; Max Peeperkorn; Aisha Khatun (ICCC, 2023)

On the power of special-purpose GPT models to create and evaluate new poetry in old styles. - Piotr Sawicki; Marek Grzes; Fabrício Góes; Anna Jordanous; Dan Brown 001; Simona Paraskevopoulou; Max Peeperkorn; Aisha Khatun (ICCC, 2023)

Is Temperature the Creativity Parameter of Large Language Models? - Max Peeperkorn; Tom Kouwenhoven; Dan Brown 001; Anna Jordanous (ICCC, 2024)

The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication. - Tom Kouwenhoven; Max Peeperkorn; Bram van Dijk; Tessa Verhoef (CoRR, 2024)

Searching for Structure: Investigating Emergent Communication with Large Language Models. - Tom Kouwenhoven; Max Peeperkorn; Tessa Verhoef (COLING, 2025)

Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication. - Tom Kouwenhoven; Max Peeperkorn; Roy De Kleijn; Tessa Verhoef (CoRR, 2025)

Mind the Gap: Conformative Decoding to Improve Output Diversity of Instruction-Tuned Large Language Models. - Max Peeperkorn; Tom Kouwenhoven; Dan Brown 001; Anna Jordanous (CoRR, 2025)