@inproceedings{kikuta-2026-ai,
title = "{AI} Tour Meeting: Group Travel Planning by {LLM} Agents",
author = "Kikuta, Daisuke",
editor = "Zhang, Ningyu and
Wijaya, Derry",
booktitle = "Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the {A}sia-Pacific Chapter of the {A}ssociation for {C}omputational {L}inguistics: System Demonstrations",
month = nov,
year = "2026",
address = "Hengqin, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.aacl-demo.8/",
pages = "58--65",
ISBN = "979-8-89176-441-5",
abstract = "This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaboratively seek an itinerary that satisfies their constraints and preferences through natural language discussion.\par The framework enables easy and flexible orchestration of such discussions by providing interfaces for configuring agent personas, discussion workflows, monitoring, and LLM deployment. Its primary use case is a simulation tool for analyzing the behavior of multiple LLM agents during tour planning discussions.\par This paper demonstrates the utility of the framework by presenting system validation and several analytical results obtained using the framework."
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%0 Conference Proceedings
%T AI Tour Meeting: Group Travel Planning by LLM Agents
%A Kikuta, Daisuke
%Y Zhang, Ningyu
%Y Wijaya, Derry
%S Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations
%D 2026
%8 November
%I Association for Computational Linguistics
%C Hengqin, China
%@ 979-8-89176-441-5
%F kikuta-2026-ai
%X This paper proposes AI Tour Meeting, a group travel planning framework powered by multiple Large Language Model (LLM)-based agents. The agents are instantiated with distinct personas and collaboratively seek an itinerary that satisfies their constraints and preferences through natural language discussion.\par The framework enables easy and flexible orchestration of such discussions by providing interfaces for configuring agent personas, discussion workflows, monitoring, and LLM deployment. Its primary use case is a simulation tool for analyzing the behavior of multiple LLM agents during tour planning discussions.\par This paper demonstrates the utility of the framework by presenting system validation and several analytical results obtained using the framework.
%U https://aclanthology.org/2026.aacl-demo.8/
%P 58-65
Markdown (Informal)
[AI Tour Meeting: Group Travel Planning by LLM Agents](https://aclanthology.org/2026.aacl-demo.8/) (Kikuta, AACL-IJCNLP 2026)
ACL
- Daisuke Kikuta. 2026. AI Tour Meeting: Group Travel Planning by LLM Agents. In Proceedings of the 15th International Joint Conference on Natural Language Processing and the 5th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations, pages 58–65, Hengqin, China. Association for Computational Linguistics.