Max Peeperkorn

2025

Searching for Structure: Investigating Emergent Communication with Large Language Models

Tom Kouwenhoven, Max Peeperkorn, Tessa Verhoef

COLING 2025main

Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape linguistic systems toward communicative efficiency. In this paper, we investigate whether the same happens if artificial langu…

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2025

Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication

Tom Kouwenhoven, Max Peeperkorn, Roy de Kleijn, Tessa Verhoef

IJCAI 2025

Languages are shaped by the inductive biases of their users. Using a classical referential game, we investigate how artificial languages evolve when optimised for inductive biases in humans and large language models (LLMs) via Human-Human, LLM-LLM and Human-LLM experiments. We show that referentiall

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Searching for Structure: Investigating Emergent Communication with Large Language Models

Shaping Shared Languages: Human and Large Language Models&#039; Inductive Biases in Emergent Communication

Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication