mlsanityData to 7 Oct 2026

A Scalable Communication Protocol for Networks of Large Language Models

arXiv 2410.11905 ↗First posted 14 Oct 2024cs.AI cs.LGcited by 43

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Cited by 28 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Communication is a prerequisite for collaboration. When scaling networks of AI-powered agents, communication must be versatile, efficient, and portable. These requisites, which we refer to as the Agent Communication Trilemma, are hard to achieve in large networks of agents. We introduce Agora, a meta protocol that leverages existing communication standards to make LLM-powered agents solve complex problems efficiently. In Agora, agents typically use standardised routines for frequent communications, natural language for rare communications, and LLM-written routines for everything in between. Agora sidesteps the Agent Communication Trilemma and robustly handles changes in interfaces and members, allowing unprecedented scalability with full decentralisation and minimal involvement of human beings. On large Agora networks, we observe the emergence of self-organising, fully automated protocols that achieve complex goals without human intervention.

Key facts. Cited by 43 papers in the map (data through 7 Oct 2026). Builds on 40 of its 58 references that are in the map. First posted on arXiv 14 Oct 2024.

Builds on

40 of 58 references.

References · 40

  1. 2017Attention Is All You Needcited by 59,932
  2. 2020Language Models are Few-Shot Learnerscited by 32,199
  3. 2023GPT-4 Technical Reportcited by 18,132
  4. 2017Proximal Policy Optimization Algorithmscited by 14,441
  5. 2024The Llama 3 Herd of Modelscited by 14,192
  6. 2021LoRA: Low-Rank Adaptation of Large Language Modelscited by 14,084
  7. 2023Direct Preference Optimization: Your Language Model is Secretly a Reward Modelcited by 7,916
  8. 2020Scaling Laws for Neural Language Modelscited by 6,411
  9. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  10. 2024Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextcited by 3,175
  11. 2023MetaGPT: Meta Programming for A Multi-Agent Collaborative Frameworkcited by 1,761
  12. 2023Improving Factuality and Reasoning in Language Models through Multiagent Debatecited by 1,739
28 more
  1. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Societycited by 1,348
  2. 2023Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generationcited by 1,332
  3. 2023Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debatecited by 995
  4. 2024Large Language Model based Multi-Agents: A Survey of Progress and Challengescited by 752
  5. 2017Deep Reinforcement Learning that Matterscited by 727
  6. 2017A Brief Survey of Deep Reinforcement Learningcited by 466
  7. 2023Large Language Models for Software Engineering: A Systematic Literature Reviewcited by 389
  8. 2023Toxicity in ChatGPT: Analyzing Persona-assigned Language Modelscited by 356
  9. 2023Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedbackcited by 202
  10. 2024When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Methodcited by 201
  11. 2023Large Language Models on Graphs: A Comprehensive Surveycited by 190
  12. 2024More Agents Is All You Needcited by 174
  13. 2020Emergent Multi-Agent Communication in the Deep Learning Eracited by 168
  14. 2023War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Warscited by 143
  15. 2023Theory of Mind for Multi-Agent Collaboration via Large Language Modelscited by 129
  16. 2017Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbolscited by 123
  17. 2023Scalable Multi-Robot Collaboration with Large Language Models: Centralized or Decentralized Systems?cited by 104
  18. 2018Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Inputcited by 102
  19. 2014IPFS - Content Addressed, Versioned, P2P File Systemcited by 67
  20. 2019Anti-efficient encoding in emergent communicationcited by 59
  21. 2022Structured, flexible, and robust: benchmarking and improving large language models towards more human-like behavior in out-of-distribution reasoning taskscited by 56
  22. 2023Multi-Agent Consensus Seeking via Large Language Modelscited by 50
  23. 2023Personas as a Way to Model Truthfulness in Language Modelscited by 46
  24. 2024Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Modelscited by 45
  25. 2024Enhance Reasoning for Large Language Models in the Game Werewolfcited by 44
  26. 2024Graph-enhanced Large Language Models in Asynchronous Plan Reasoningcited by 37
  27. 2024TwoStep: Multi-agent Task Planning using Classical Planners and Large Language Modelscited by 29
  28. 2023Language Models as a Service: Overview of a New Paradigm and its Challengescited by 10

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 2; 2025: 26; 2026: 15.

43 papers.

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  21. 2026Attacks and Mitigations for Distributed Governance of Agentic AI under Byzantine Adversariescited by 1
  22. 2026The Internet of Agentic AI: Communication, Coordination, and Collective Intelligence at Scalecited by 1
  23. 2026A Technical Taxonomy of LLM Agent Communication Protocolscited by 1
  24. 2026Large Language Models Do Not Always Need Readable Languagecited by 1
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  26. 2026CausalPulse: An Industrial-Grade Neurosymbolic Multi-Agent Copilot for Causal Diagnostics in Smart Manufacturingcited by 0
  27. 2026The Agentic Web Requires New Normative Infrastructurecited by 0
  28. 2026Specification-Guided Synthesis of Deadlock-Free Communication Protocol Refinements with Large Language Modelscited by 0
  29. 2026The Civilization Framework: Sovereign-Anchored Communication Between Personal Multi-Agent Systemscited by 0
  30. 2026A Scalable Trust Discovery Architecture for the Internet of Agentscited by 0
  31. 2026Communication between Frozen Large Language Models via Prompt Optimization in a Referential Gamecited by 0

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