activity
20172026
most citedMulti-Level Variational Autoencoder: Learning Disentangled Representations from Grouped Observations

137 citations · 181 across the 16 of their papers we have counts for

collaborators
Showing cs.CLShow all

9 papers · 1 filter

cs.CL2026

Where Does the Signal Live? A Web Data Recipe for Medical Encoder Pretraining

Bofeng Huang, Jacques Sun, Diane Bouchacourt +2

Web data curation has been widely studied for decoder Large Language Model (LLM) pretraining. Encoders for dense-terminology domains such as medicine, by contrast, are pretrained o…

cs.CL2020

Compositionality and Generalization in Emergent Languages

Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt +2

Natural language allows us to refer to novel composite concepts by combining expressions denoting their parts according to systematic rules, a property known as \emph{compositional…

cs.CL2020

A Benchmark for Systematic Generalization in Grounded Language Understanding

Laura Ruis, Jacob Andreas, Marco Baroni +2

Humans easily interpret expressions that describe unfamiliar situations composed from familiar parts ("greet the pink brontosaurus by the ferris wheel"). Modern neural networks, by…

cs.CL20191 cited

Focus on What's Informative and Ignore What's not: Communication Strategies in a Referential Game

Roberto Dessì, Diane Bouchacourt, Davide Crepaldi +1

Research in multi-agent cooperation has shown that artificial agents are able to learn to play a simple referential game while developing a shared lexicon. This lexicon is not easy…

cs.CL2019

Mastering emergent language: learning to guide in simulated navigation

Mathijs Mul, Diane Bouchacourt, Elia Bruni

To cooperate with humans effectively, virtual agents need to be able to understand and execute language instructions. A typical setup to achieve this is with a scripted teacher whi…

cs.CL2019

EGG: a toolkit for research on Emergence of lanGuage in Games

Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt +1

There is renewed interest in simulating language emergence among deep neural agents that communicate to jointly solve a task, spurred by the practical aim to develop language-enabl…