In recent years, large language models (LLMs) have rapidly proliferated and have been utilized in various tasks, including research in dialogue systems. We aimed to construct a system that not only leverages the flexible conversational abilities of LLMs but also their advanced planning capabilities to reduce the speaking load on human interlocutors and efficiently plan trips. Furthermore, we propose a method that divides the complex task of a travel agency into multiple subtasks, managing each as a separate phase to effectively accomplish the task. Our proposed system confirmed a certain level of success by achieving fourth place in the Dialogue Robot Competition 2023 preliminaries rounds. We report on the challenges identified through the competition.

翻译：近年来，大型语言模型（LLMs）迅速普及，并被应用于包括对话系统研究在内的各类任务。我们旨在构建一个系统，不仅利用LLMs灵活的对话能力，还发挥其先进的规划功能，以减轻人类对话者的语言负担并高效规划行程。此外，我们提出了一种方法，将旅行社的复杂任务分解为多个子任务，并通过分阶段管理每个子任务来有效完成整体任务。我们提出的系统在2023年对话机器人竞赛预选赛中取得了第四名的成绩，验证了其一定程度的成功。本文报告了通过竞赛发现的挑战。