Lark: Biologically Inspired Neuroevolution for Multi-Stakeholder LLM Agents
Lark：生物启发的多利益相关者大语言模型代理神经进化
AI总结 Lark通过结合大语言模型推理与进化型多智能体系统，解决冗余与利益相关者权衡问题，采用四机制提升策略生成效率与透明度，实验显示其在30轮评估中表现优异且成本可控。
Comments 39th Conference on Neural Information Processing Systems (NeurIPS 2025) Workshop: NeurIPS 2025 Workshop on Efficient Reasoning
