AutoGen

该数据集是由流行的开源代理框架AutoGen提供的，它支持构建具有不同拓扑结构的LLM-MAS（大规模语言模型多代理系统）。此外，该框架常被用于实现开放式的多代理系统以进行实验研究。本次任务旨在评估在多代理系统中，阻塞攻击的有效性和效率。

This dataset is provided by the popular open-source agent framework AutoGen, which supports the construction of LLM-MAS (Large Language Model Multi-Agent System) with diverse topologies. Furthermore, this framework is frequently utilized to implement open-ended multi-agent systems for experimental research. This task aims to evaluate the effectiveness and efficiency of blocking attacks within multi-agent systems.