34 citations · 57 across the 7 of their papers we have counts for
7 papers
GlossoGen: Emergent Language in Complex Multi-Agent LLM Interactions
Elias Stengel-Eskin, Newton Sander, Carlos Bonetti +4
The growing rate at which LLM agents interact with one another raises key questions about language evolution in multi-LLM-agent settings, with implications for safety and monitorab…
Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictability
Shangmin Guo, Yi Ren, Kory Mathewson +3
Researchers are using deep learning models to explore the emergence of language in various language games, where agents interact and develop an emergent language to solve tasks. We…
Conceptual similarity and communicative need shape colexification: an experimental study
Andres Karjus, Richard A. Blythe, Simon Kirby +2
Colexification refers to the phenomenon of multiple meanings sharing one word in a language. Cross-linguistic lexification patterns have been shown to be largely predictable, as si…
Communicative need modulates competition in language change
Andres Karjus, Richard A. Blythe, Simon Kirby +1
All living languages change over time. The causes for this are many, one being the emergence and borrowing of new linguistic elements. Competition between the new elements and olde…
Compositional Languages Emerge in a Neural Iterated Learning Model
Yi Ren, Shangmin Guo, Matthieu Labeau +2
The principle of compositionality, which enables natural language to represent complex concepts via a structured combination of simpler ones, allows us to convey an open-ended set…
Quantifying the dynamics of topical fluctuations in language
Andres Karjus, Richard A. Blythe, Simon Kirby +1
The availability of large diachronic corpora has provided the impetus for a growing body of quantitative research on language evolution and meaning change. The central quantities i…
The cognitive roots of regularization in language
Vanessa Ferdinand, Simon Kirby, Kenny Smith
Regularization occurs when the output a learner produces is less variable than the linguistic data they observed. In an artificial language learning experiment, we show that there…