AINeutralarXiv – CS AI · 10h ago6/10
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AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
Researchers introduce AgentPSO, a framework that evolves multi-agent reasoning skills in large language models using particle swarm optimization principles. Rather than relying on static agents or inference-time debate, the system enables agents to iteratively improve their reasoning capabilities through self-reflection and collective learning, demonstrating improved performance and cross-benchmark transferability without modifying underlying model parameters.