Writing persuasive arguments is a challenging task for both humans and machines. It entails incorporating high-level beliefs from various perspectives on the topic, along with deliberate reasoning and planning to construct a coherent narrative. Current language models often generate surface tokens autoregressively, lacking explicit integration of these underlying controls, resulting in limited output diversity and coherence. In this work, we propose a persona-based multi-agent framework for argument writing. Inspired by the human debate, we first assign each agent a persona representing its high-level beliefs from a unique perspective, and then design an agent interaction process so that the agents can collaboratively debate and discuss the idea to form an overall plan for argument writing. Such debate process enables fluid and nonlinear development of ideas. We evaluate our framework on argumentative essay writing. The results show that our framework can generate more diverse and persuasive arguments through both automatic and human evaluations.

翻译：撰写具有说服力的论点对人类和机器而言都是一项具有挑战性的任务。这需要从主题的不同视角整合高层次信念，并通过审慎的推理与规划来构建连贯的论述。当前的语言模型通常以自回归方式生成表层词元，缺乏对这些底层控制机制的显式整合，导致输出结果的多样性与连贯性受限。在本研究中，我们提出了一种基于角色的多智能体框架用于论点写作。受人类辩论过程的启发，我们首先为每个智能体分配代表其独特视角下高层次信念的角色，随后设计智能体交互流程，使智能体能够通过协作辩论与讨论形成论点写作的整体规划。这种辩论机制支持思想的流动性与非线性发展。我们在议论文写作任务上评估了该框架。结果表明，通过自动评估与人工评估，我们的框架能够生成更具多样性和说服力的论点。