Zhangyuhua Weng

HiveMind: Contribution-Guided Online Prompt Optimization of LLM Multi-Agent Systems

Recent advances in LLM-based multi-agent systems have demonstrated remarkable capabilities in complex decision-making scenarios such as financial trading and software engineering. However, evaluating each individual agent’s effectiveness and online optimization of underperforming agents remain open