Bayes-Sufficient Compression Is Not Enough: How Does Communication Help Multi-Agent Systems?
cs.LG, cs.IT, cs.MA, math.IT
Submitted: 2026-09-29
Updated: 2026-09-29
Code: https://github.com/Yydc/Communication
Terminology
Sources
- Why Do Multi-Agent LLM Systems Fail?
- AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors
- PERFOPT-Bench: Evaluating Coding Agents on Software Performance Optimization
- A Survey on Code Generation with LLM-based Agents
- ProtocolBench: Which LLM MultiAgent Protocol to Choose?
- Cost-Effective Communication: An Auction-based Method for Language Agent Interaction
- MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
- Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
- Towards a Science of Scaling Agent Systems
- CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society
- ContextBench: A Benchmark for Context Retrieval in Coding Agents
- ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
- Towards Engineering Multi-Agent LLMs: A Protocol-Driven Approach
- Flow: Modularized Agentic Workflow Automation
- Communication and Verification in LLM Agents towards Collaboration under Information Asymmetry
- Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation
- Reflexion: Language Agents with Verbal Reinforcement Learning
- ALMAS: an Autonomous LLM-based Multi-Agent Software Engineering Framework
- Talk Structurally, Act Hierarchically: A Collaborative Framework for LLM Multi-Agent Systems
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
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