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When Do Multi-Agent Systems Help? An Information Bottleneck Perspective
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Researchers analyzed when multi-agent LLM systems outperform single-agent systems using information bottleneck theory, finding benefits depend on communication bandwidth constraints.
- 为何重要
- Matters for engineers designing LLM systems who need to decide between multi-agent or single-agent architectures for complex reasoning tasks.
- 注意
- Results show multi-agent gains shrink with stronger models and sufficient relay bandwidth, suggesting architecture choice depends heavily on model capability and communication limits.
收听本摘要
- agent
- llm
- reasoning
- multi-agent
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