MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks 事件

MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks arXiv:2603.02630v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have achieved great success in many real-world applications, especially the one serving as the cognitive backbone of Multi-Agent Systems (MAS) to orchestrate complex workflows in practice. Since many deployment scenarios preclude MAS workflow modifications and its performance is highly sensitive to the input prompts, p