Tag: LLM multi-agent systems
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How Large Language Models Show Normative Conformity
Explore how large language models exhibit normative conformity, impacting AI decision-making and group dynamics in multi-agent systems.
Explicit Trait Inference Boosts Multi-Agent Coordination
Discover how Explicit Trait Inference improves multi-agent coordination by tracking partner traits like trust and skill for better decision-making.
Moonshot AI Kimi K2.6: 1,000 Agents Tackle Complex Tasks
Discover Moonshot AI's Kimi K2.6 platform with 1,000 collaborating agents designed to simplify and accelerate complex engineering workflows.
Agent Safety Risks: How Benign Instructions Hide Vulnerabilities
Discover how harmless user instructions expose critical vulnerabilities in computer-use agents and why new safety benchmarks like OS-BLIND matter.
When Is Skill Distillation Effective in Multi-Agent Systems?
Discover when skill distillation improves multi-agent systems by leveraging Metric Freedom and the AdaSkill adaptive framework for optimal results.