📄 中文摘要
大型语言模型（LLM）在人工智能领域的应用日益广泛，尤其是在自动化决策和任务规划方面。研究表明，LLM代理能够通过自然语言处理技术理解复杂的指令并生成相应的执行计划。调查涵盖了不同的规划方法，包括基于规则的系统和学习驱动的策略，分析了它们在不同场景下的优缺点。此外，研究还探讨了LLM在多轮对话、上下文理解和实时反馈中的应用潜力，强调了其在提升用户交互体验方面的重要性。未来的研究方向包括优化模型的推理能力和提高其在动态环境中的适应性。
理解大型语言模型代理的规划：一项调查
出处: Understanding the planning of LLM agents: A survey
发布: 2026年2月28日
📄 English Summary
Understanding the planning of LLM agents: A survey
Large Language Models (LLMs) are increasingly utilized in the field of artificial intelligence, particularly in automation decision-making and task planning. Research indicates that LLM agents can comprehend complex instructions through natural language processing and generate corresponding execution plans. The survey covers various planning methods, including rule-based systems and learning-driven strategies, analyzing their advantages and disadvantages in different scenarios. Additionally, it explores the potential applications of LLMs in multi-turn dialogue, contextual understanding, and real-time feedback, emphasizing their significance in enhancing user interaction experiences. Future research directions include optimizing the reasoning capabilities of models and improving their adaptability in dynamic environments.