标题： 走向语言和多模态代理的合理性：综述 显示英文标题

标题： Towards Rationality in Language and Multimodal Agents: A Survey

摘要： 理性是指由理性指导的品质，其特点是决策与证据和逻辑原则一致。 它在可靠的问题解决中起着关键作用，确保解决方案有充分依据且一致。 尽管大型语言模型（LLMs）在生成类似人类的文本方面取得了显著进展，但它们仍然存在一些局限，例如知识空间有限和输出不一致。 为此，最近的努力转向开发多模态和多代理系统，以及集成外部工具、编程代码、符号推理器、效用函数和保真风险控制等模块，而不是仅仅依赖单一的LLM进行决策。 本文综述了语言和多模态代理的最新进展，评估了它们如何促进智能代理更加理性，并识别了开放性的挑战和未来研究方向。 我们在https://github.com/bowen-upenn/Agent_Rationality维护了一个开源仓库。 显示英文摘要

摘要： Rationality is the quality of being guided by reason, characterized by decision-making that aligns with evidence and logical principles. It plays a crucial role in reliable problem-solving by ensuring well-grounded and consistent solutions. While large language models (LLMs) have made significant progress in generating human-like text, they still exhibit limitations such as bounded knowledge space and inconsistent outputs. In response, recent efforts have shifted toward developing multimodal and multi-agent systems, as well as integrating modules like external tools, programming codes, symbolic reasoners, utility function, and conformal risk controls rather than relying solely on a single LLM for decision-making. This paper surveys the state-of-the-art advancements in language and multimodal agents, evaluates how they contribute to make intelligent agents more rational, and identifies open challenges and future research directions. We maintain an open repository at https://github.com/bowen-upenn/Agent_Rationality.