AgentPSO applies a particle-swarm-inspired update rule to evolve natural-language reasoning skills across multiple LLM agents, yielding gains over static and test-time multi-agent baselines with cross-benchmark transfer.
Tree of thoughts: Deliberate problem solving with large language models.Ad- vances in neural information processing systems, 36:11809–11822
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AgentPSO: Evolving Agent Reasoning Skill via Multi-agent Particle Swarm Optimization
AgentPSO applies a particle-swarm-inspired update rule to evolve natural-language reasoning skills across multiple LLM agents, yielding gains over static and test-time multi-agent baselines with cross-benchmark transfer.