Tag: LLM multi-agent systems
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How Evolving Agents Shape Multi-Agent System Governance
Explore how evolving agents influence multi-agent system governance, improving collective intelligence with flexible institutional designs.
Trace Analysis of Information Contamination in Multi-Agent AI
Explore how trace-level analysis reveals info contamination impacts in multi-agent AI systems, enhancing workflow reliability and decision accuracy.
Safe Bilevel Delegation for Runtime Safety in Multi-Agent Systems
Discover Safe Bilevel Delegation (SBD), a formal framework ensuring runtime safety and efficiency in multi-agent systems across critical domains like healt...
MetaSymbO: AI-Driven Language-Guided Metamaterial Discovery
Discover MetaSymbO, a multi-agent AI framework using language guidance and symbolic evolution for advanced metamaterial design and innovation.
Inverse-Wisdom Law: Challenges in Multi-Agent AI Swarms
Explore the Inverse-Wisdom Law and Consensus Paradox in AI swarms, revealing risks of architectural tribalism and the need for diverse agent collaboration.