5 papers · 1 filter
Modeling Human-Like Color Naming Behavior in Context
Yuqing Zhang, Ecesu Ãrker, Tessa Verhoef +2
Modeling the emergence of human-like lexicons in computational systems has advanced through the use of interacting neural agents, which simulate both learning and communicative pre…
Shaping Shared Languages: Human and Large Language Models' Inductive Biases in Emergent Communication
Tom Kouwenhoven, Max Peeperkorn, Roy de Kleijn +1
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…
Searching for Structure: Investigating Emergent Communication with Large Language Models
Tom Kouwenhoven, Max Peeperkorn, Tessa Verhoef
Human languages have evolved to be structured through repeated language learning and use. These processes introduce biases that operate during language acquisition and shape lingui…
What does Kiki look like? Cross-modal associations between speech sounds and visual shapes in vision-and-language models
Tessa Verhoef, Kiana Shahrasbi, Tom Kouwenhoven
Humans have clear cross-modal preferences when matching certain novel words to visual shapes. Evidence suggests that these preferences play a prominent role in our linguistic proce…
The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communication
Tom Kouwenhoven, Max Peeperkorn, Bram van Dijk +1
Natural language has the universal properties of being compositional and grounded in reality. The emergence of linguistic properties is often investigated through simulations of em…