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，大语言模型迅速普及，并被应用于多种任务，包括对话系统的研究。我们旨在构建一个系统，不仅利用大语言模型灵活的对话能力，还借助其高级规划功能，以减少人类对话者的说话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，并将每个子任务作为独立阶段进行管理，以有效完成任务。我们的系统在2023年对话机器人竞赛预选赛中获得第四名，证实了其一定程度的成功。我们报告了通过该竞赛发现的一些挑战。