mlsanityData to 7 Oct 2026

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

arXiv 1907.00852 ↗First posted 1 Jul 2019cs.CL cs.AIcited by 42

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Abstract (arXiv)

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-enabled interactive AIs, as well as by theoretical questions about the evolution of human language. However, optimizing deep architectures connected by a discrete communication channel (such as that in which language emerges) is technically challenging. We introduce EGG, a toolkit that greatly simplifies the implementation of emergent-language communication games. EGG's modular design provides a set of building blocks that the user can combine to create new games, easily navigating the optimization and architecture space. We hope that the tool will lower the technical barrier, and encourage researchers from various backgrounds to do original work in this exciting area.

Key facts. Cited by 42 papers in the map (data through 7 Oct 2026). First posted on arXiv 1 Jul 2019.

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Citing papers per year: 2021: 3; 2022: 6; 2023: 6; 2024: 13; 2025: 10; 2026: 4.

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  1. 2024How Well Can LLMs Negotiate? NegotiationArena Platform and Analysiscited by 93
  2. 2022Emergent Communication: Generalization and Overfitting in Lewis Gamescited by 28
  3. 2021Interpretable agent communication from scratch (with a generic visual processor emerging on the side)cited by 25
  4. 2024A Review of the Applications of Deep Learning-Based Emergent Communicationcited by 17
  5. 2023Cross-Domain Image Captioning with Discriminative Finetuningcited by 14
  6. 2023Communication Drives the Emergence of Language Universals in Neural Agents: Evidence from the Word-order/Case-marking Trade-offcited by 12
  7. 2021Expressivity of Emergent Language is a Trade-off between Contextual Complexity and Unpredictabilitycited by 11
  8. 2023Referential communication in heterogeneous communities of pre-trained visual deep networkscited by 10
  9. 2026The Five Ws of Multi-Agent Communication: Who Talks to Whom, When, What, and Why -- A Survey from MARL to Emergent Language and LLMscited by 10
  10. 2022Emergence of hierarchical reference systems in multi-agent communicationcited by 8
  11. 2022Defending Compositionality in Emergent Languagescited by 8
  12. 2024NeLLCom-X: A Comprehensive Neural-Agent Framework to Simulate Language Learning and Group Communicationcited by 8
30 more
  1. 2022Emergent Quantized Communicationcited by 7
  2. 2024Concept-Best-Matching: Evaluating Compositionality in Emergent Communicationcited by 7
  3. 2024The Curious Case of Representational Alignment: Unravelling Visio-Linguistic Tasks in Emergent Communicationcited by 7
  4. 2024Language Evolution with Deep Learningcited by 5
  5. 2026Variable-Length Semantic IDs for Recommender Systemscited by 4
  6. 2021Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channelcited by 3
  7. 2022Emergence of Machine Language: Towards Symbolic Intelligence with Neural Networkscited by 3
  8. 2024Speaking Your Language: Spatial Relationships in Interpretable Emergent Communicationcited by 3
  9. 2025Unsupervised Translation of Emergent Communicationcited by 3
  10. 2022Recommendations for Systematic Research on Emergent Languagecited by 2
  11. 2024ELCC: the Emergent Language Corpus Collectioncited by 2
  12. 2024Semantics and Spatiality of Emergent Communicationcited by 2
  13. 2025NeLLCom-Lex: A Neural-agent Framework to Study the Interplay between Lexical Systems and Language Usecited by 2
  14. 2023On the Correspondence between Compositionality and Imitation in Emergent Neural Communicationcited by 1
  15. 2024XferBench: a Data-Driven Benchmark for Emergent Languagecited by 1
  16. 2024A Combinatorial Approach to Neural Emergent Communicationcited by 1
  17. 2025A Compressive-Expressive Communication Framework for Compositional Representationscited by 1
  18. 2025From Grunts to Lexicons: Emergent Language from Cooperative Foragingcited by 1
  19. 2025Searching for the Most Human-like Emergent Languagecited by 1
  20. 2025neuralFOMO: Can LLMs Handle Being Second Best? Measuring Envy-Like Preferences in Multi-Agent Settingscited by 1
  21. 2026CtD: Composition through Decomposition in Emergent Communicationcited by 1
  22. 2023Anaphoric Structure Emerges Between Neural Networkscited by 0
  23. 2023Emergent Communication for Rules Reasoningcited by 0
  24. 2024Emergent Communication in Continuous Worlds: Self-Organisation of Conceptually Grounded Vocabularies at Scalecited by 0
  25. 2024Emergent Language Symbolic Autoencoder (ELSA) with Weak Supervision to Model Hierarchical Brain Networkscited by 0
  26. 2025VQEL: Enabling Self-Play in Emergent Language Games via Agent-Internal Vector Quantizationcited by 0
  27. 2025Discovering Properties of Inflectional Morphology in Neural Emergent Communicationcited by 0
  28. 2025Morpheme Induction for Emergent Languagecited by 0
  29. 2025On the Optimality of Kinship Naming: an Information-theoretic Approachcited by 0
  30. 2026Modeling Human-Like Color Naming Behavior in Contextcited by 0