Fetching the paper…
Reading the bibliography…
Natural language has the universal properties of being compositional and grounded in reality.
Larger communities create more systematic languages
Limor Raviv, Antje Meyer, and Shiri Lev-Ari. 2019b · 1907
Earlier work this paper cites.
Shaping representations through communication: community size effect in artificial learning systems
Olivier Tieleman, Angeliki Lazaridou, Shibl Mourad, Charles Blundell, and Doina Precup. 2019 · 1912
Earlier work this paper cites.
Asynchronous methods for deep reinforcement learning
Volodymyr Mnih, Adria Puigdomenech Badia, Mehdi Mirza, Alex Graves, Timothy Lillicrap, Tim Harley, David Silver, and Koray Kavukcuoglu. 2016 · 1937
Earlier work this paper cites.
Animal" languages" and human language
Charles F Hockett. 1959 · 1959
Earlier work this paper cites.
Convention: A philosophical study
David Lewis. 1969 · 1969
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Understanding linguistic evolution by visualizing the emergence of topographic mappings
Henry Brighton and Simon Kirby. 2006 · 2006
Earlier work this paper cites.
Computer modeling as a tool for understanding language evolution
Bart de Boer. 2006 · 2006
Earlier work this paper cites.
Emergent multi-agent communication in the deep learning era
Angeliki Lazaridou and Marco Baroni. 2020 · 2006
Earlier work this paper cites.
The emergence of simple languages in an experimental coordination game
Reinhard Selten and Massimo Warglien. 2007 · 2007
Earlier work this paper cites.
Cumulative cultural evolution in the laboratory: An experimental approach to the origins of structure in human language
Simon Kirby, Hannah Cornish, and Kenny Smith. 2008 · 2008
Earlier work this paper cites.
Representational similarity analysis-connecting the branches of systems neuroscience
Nikolaus Kriegeskorte, Marieke Mur, and Peter A Bandettini. 2008 · 2008
Earlier work this paper cites.
The Grounded Naming Game
Luc Steels and Martin Loetzsch. 2012 · 2012
Earlier work this paper cites.
Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
Iterated learning and the evolution of language
Simon Kirby, Tom Griffiths, and Kenny Smith. 2014 · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick. 2014 · 2014
Earlier work this paper cites.
Compression and communication in the cultural evolution of linguistic structure
Simon Kirby, Monica Tamariz, Hannah Cornish, and Kenny Smith. 2015 · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Natural language does not emerge ‘naturally’ in multi-agent dialog
Satwik Kottur, José Moura, Stefan Lee, and Dhruv Batra. 2017 · 2017
Earlier work this paper cites.
Multi-agent cooperation and the emergence of (natural) language
Angeliki Lazaridou, Alexander Peysakhovich, and Marco Baroni. 2017 · 2017
Earlier work this paper cites.
How agents see things: On visual representations in an emergent language game
Diane Bouchacourt and Marco Baroni. 2018 · 2018
Earlier work this paper cites.
Emergence of linguistic communication from referential games with symbolic and pixel input
Angeliki Lazaridou, Karl Moritz Hermann, Karl Tuyls, and Stephen Clark. 2018 · 2018
Cited alongside, same era.
Shangmin Guo, Yi Ren, Serhii Havrylov, Stella Frank, Ivan Titov, and Kenny Smith. 2019 · 2019
Cited alongside, same era.
Ease-of-teaching and language structure from emergent communication
Fushan Li and Michael Bowling. 2019 · 2019
Cited alongside, same era.
Fast differentiable sorting and ranking
Mathieu Blondel, Olivier Teboul, Quentin Berthet, and Josip Djolonga. 2020 · 2020
Cited alongside, same era.
Compositionality and generalization in emergent languages
Rahma Chaabouni, Eugene Kharitonov, Diane Bouchacourt, Emmanuel Dupoux, and Marco Baroni. 2020 · 2020
Cited alongside, same era.
Emergent communication: Generalization and overfitting in lewis games
Mathieu Rita, Corentin Tallec, Paul Michel, Jean-Bastien Grill, Olivier Pietquin, Emmanuel Dupoux, and Florian Strub. 2022 · 2022
Later among the works it cites.
How Language Learning and Language Use Create Linguistic Structure
Kenny Smith. 2022 · 2022
Later among the works it cites.
Emergent communication fine-tuning (EC-FT) for pretrained language models
Shane Steinert-Threlkeld, Xuhui Zhou, Zeyu Liu, and C. M. Downey. 2022 · 2022
Later among the works it cites.
Winoground: Probing vision and language models for visio-linguistic compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, and Candace Ross. 2022 · 2022
Later among the works it cites.
Compositional generalization in unsupervised compositional representation learning: A study on disentanglement and emergent language
Zhenlin Xu, Marc Niethammer, and Colin A Raffel. 2022 · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Entropy minimization in emergent languages
Eugene Kharitonov, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni. 2020 · 2020
Cited alongside, same era.
On the interaction between supervision and self-play in emergent communication
Ryan Lowe, Abhinav Gupta, Jakob Foerster, Douwe Kiela, and Joelle Pineau. 2020 · 2020
Cited alongside, same era.
Compositional languages emerge in a neural iterated learning model
Yi Ren, Shangmin Guo, Matthieu Labeau, Shay B. Cohen, and Simon Kirby. 2020 · 2020
Cited alongside, same era.
Co-evolution of language and agents in referential games
Gautier Dagan, Dieuwke Hupkes, and Elia Bruni. 2021 · 2021
Cited alongside, same era.
Interpretable agent communication from scratch (with a generic visual processor emerging on the side)
Roberto Dessi, Eugene Kharitonov, and Baroni Marco. 2021 · 2021
Cited alongside, same era.
EGG: a toolkit for research on Emergence of lanGuage in Games
Eugene Kharitonov, Roberto Dessì, Rahma Chaabouni, Diane Bouchacourt, and Marco Baroni. 2021 · 2021
Cited alongside, same era.
The effect of efficient messaging and input variability on neural-agent iterated language learning
Yuchen Lian, Arianna Bisazza, and Tessa Verhoef. 2021 · 2021
Cited alongside, same era.
On the correspondence between compositionality and imitation in emergent neural communication
Emily Cheng, Mathieu Rita, and Thierry Poibeau. 2023 · 2023
Later among the works it cites.
Compositionality with variation reliably emerges in neural networks
Henry Conklin and Kenny Smith. 2023 · 2023
Later among the works it cites.
What can 1.8 billion regressions tell us about the pressures shaping high-level visual representation in brains and machines?
Colin Conwell, Jacob S. Prince, Kendrick N. Kay, George A. Alvarez, and Talia Konkle. 2023 · 2023
Later among the works it cites.
Sugarcrepe: Fixing hackable benchmarks for vision-language compositionality
Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, and Ranjay Krishna. 2023 · 2023
Later among the works it cites.
What’s “up” with vision-language models? investigating their struggle with spatial reasoning
Amita Kamath, Jack Hessel, and Kai-Wei Chang. 2023 · 2023
Later among the works it cites.
Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-off
Yuchen Lian, Arianna Bisazza, and Tessa Verhoef. 2023 · 2023
Later among the works it cites.
Revisiting populations in multi-agent communication
Paul Michel, Mathieu Rita, Kory Wallace Mathewson, Olivier Tieleman, and Angeliki Lazaridou. 2023 · 2023
Later among the works it cites.
Human alignment of neural network representations
Lukas Muttenthaler, Jonas Dippel, Lorenz Linhardt, Robert A. Vandermeulen, and Simon Kornblith. 2023 · 2023
Later among the works it cites.
Cola: A benchmark for compositional text-to-image retrieval
Arijit Ray, Filip Radenovic, Abhimanyu Dubey, Bryan Plummer, Ranjay Krishna, and Kate Saenko. 2023 · 2023
Later among the works it cites.
Getting aligned on representational alignment
Ilia Sucholutsky, Lukas Muttenthaler, Adrian Weller, Andi Peng, Andreea Bobu, Been Kim, Bradley C. Love, Erin Grant, Iris Groen, Jascha Achterberg, Joshua B. Tenenbaum, Katherine M. Collins, Katherine L. Hermann, Kerem Oktar, Klaus Greff, Martin N. Hebart, Nori Jacoby, Qiuyi Zhang, Raja Marjieh, Robert Geirhos, Sherol Chen, Simon Kornblith, Sunayana Rane, Talia Konkle, Thomas P. O’Connell, Thomas Unterthiner, Andrew K. Lampinen, Klaus-Robert Müller, Mariya Toneva, and Thomas L. Griffiths. 2023 · 2023
Later among the works it cites.
Emergent communication and learning pressures in language models: a language evolution perspective
Lukas Galke and Limor Raviv. 2024 · 2024
Closest in time.
Referential communication in heterogeneous communities of pre-trained visual deep networks
Matéo Mahaut, Francesca Franzon, Roberto Dessì, and Marco Baroni. 2024 · 2024
Closest in time.
DINOv2: Learning robust visual features without supervision
Maxime Oquab, Timothée Darcet, Théo Moutakanni, Huy V. Vo, Marc Szafraniec, Vasil Khalidov, Pierre Fernandez, Daniel HAZIZA, Francisco Massa, Alaaeldin El-Nouby, Mido Assran, Nicolas Ballas, Wojciech Galuba, Russell Howes, Po-Yao Huang, Shang-Wen Li, Ishan Misra, Michael Rabbat, Vasu Sharma, Gabriel Synnaeve, Hu Xu, Herve Jegou, Julien Mairal, Patrick Labatut, Armand Joulin, and Piotr Bojanowski. 2024 · 2024
Closest in time.
Language evolution with deep learning
Mathieu Rita, Paul Michel, Rahma Chaabouni, Olivier Pietquin, Emmanuel Dupoux, and Florian Strub. 2024 · 2024
Closest in time.
Iterated learning improves compositionality in large vision-language models
Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, and Ranjay Krishna. 2024 · 2024
Closest in time.