RESEARCH

NLP

How agents see things: On visual representations in an emergent language game

November 01, 2018

Abstract

There is growing interest in the language developed by agents interacting in emergent-communication settings. Earlier studies have focused on the agents' symbol usage, rather than on their representation of visual input. In this paper, we consider the referential games of Lazaridou et al. (2017) and investigate the representations the agents develop during their evolving interaction. We find that the agents establish successful communication by inducing visual representations that almost perfectly align with each other, but, surprisingly, do not capture the conceptual properties of the objects depicted in the input images. We conclude that, if we are interested in developing language-like communication systems, we must pay more attention to the visual semantics agents associate to the symbols they use.

Download the Paper

AUTHORS

Written by

Diane Bouchacourt

Marco Baroni

Publisher

EMNLP

Related Publications

October 02, 2026

RESEARCH

Tightness of the Cycle-Based Relaxation for Completed Length-Three Alpha-Cycles

Aykut Arslan

October 02, 2026

October 02, 2026

RESEARCH

On Solvable Evolution Algebras and a Conjecture by García-Martínez and Pérez-Rodríguez

Andres Barei Bueno

October 02, 2026

October 02, 2026

RESEARCH

String Two-Point Function = Height Function on a Curve

Anindya Dey, Gabriel Herczeg, An Huang, Nicolas Jaramillo Torres, Jacob H. Swenberg

October 02, 2026

October 02, 2026

RESEARCH

Semiabelian Groups Need Not Be Monomial

Joseph Phillip Brennan, Milana Golich

October 02, 2026

Help Us Pioneer The Future of AI

We share our open source frameworks, tools, libraries, and models for everything from research exploration to large-scale production deployment.