<video src=\"https://cdn-uploads.huggingface.co/production/uploads/6528f3a590f06dd8a8e97572/GcHnPc0Oe2M_S84MViyBU.mp4\" controls=\"\" class=\"max-w-full!\"></video></p>\n\n<p>AI Tour Meeting is a group travel planning framework powered by multiple LLM-based agents, where the agents collaborate with each other to find an itinerary that satisfies their constraints and preferences. Its two primary use cases include, but not limited to:</p>\n<ul>\n<li>a simulation tool for analyzing the behavior of multiple LLM-based agents during tour planning discussions</li>\n<li>a recommender system where persona-based agents act on behalf of group members who are unable to participate and provide ideas from their perspectives</li>\n</ul>\n<p>We hope you enjoy group travel planning with agents!</p>\n<ul>\n<li>Code: <a href=\"https://github.com/ntt-dkiku/ai-tour-meeting\" rel=\"nofollow\">https://github.com/ntt-dkiku/ai-tour-meeting</a></li>\n<li>Docs: <a href=\"https://ntt-dkiku.github.io/ai-tour-meeting/\" rel=\"nofollow\">https://ntt-dkiku.github.io/ai-tour-meeting/</a></li>\n<li>Paper: <a href=\"https://arxiv.org/abs/2607.18806\" rel=\"nofollow\">https://arxiv.org/abs/2607.18806</a></li>\n</ul>\n","updatedAt":"2026-07-31T03:45:50.401Z","author":{"_id":"6528f3a590f06dd8a8e97572","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6528f3a590f06dd8a8e97572/_-mnMzoN6ouN7B_qzb3ab.png","fullname":"Daisuke Kikuta","name":"oookiku","type":"user","isPro":false,"isHf":false,"isHfAdmin":false,"isMod":false,"isUserFollowing":false}},"numEdits":1,"identifiedLanguage":{"language":"en","probability":0.9232640862464905},"editors":["oookiku"],"editorAvatarUrls":["https://cdn-avatars.huggingface.co/v1/production/uploads/6528f3a590f06dd8a8e97572/_-mnMzoN6ouN7B_qzb3ab.png"],"reactions":[],"isReport":false}}],"primaryEmailConfirmed":false,"paper":{"id":"2607.18806","authors":[{"_id":"6a689e0e81e96813d6f78a31","user":{"_id":"6528f3a590f06dd8a8e97572","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6528f3a590f06dd8a8e97572/_-mnMzoN6ouN7B_qzb3ab.png","isPro":false,"fullname":"Daisuke Kikuta","user":"oookiku","type":"user","name":"oookiku"},"name":"Daisuke Kikuta","status":"claimed_verified","statusLastChangedAt":"2026-07-31T08:45:05.331Z","hidden":false}],"publishedAt":"2026-07-21T00:00:00.000Z","submittedOnDailyAt":"2026-07-31T00:00:00.000Z","title":"AI Tour Meeting: Group Travel Planning by LLM Agents","submittedOnDailyBy":{"_id":"6528f3a590f06dd8a8e97572","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6528f3a590f06dd8a8e97572/_-mnMzoN6ouN7B_qzb3ab.png","isPro":false,"fullname":"Daisuke Kikuta","user":"oookiku","type":"user","name":"oookiku"},"summary":"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. 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. This paper demonstrates the utility of the framework by presenting system validation and several analytical results obtained by the framework.","upvotes":1,"discussionId":"6a689e0e81e96813d6f78a32","projectPage":"https://ntt-dkiku.github.io/ai-tour-meeting/","githubRepo":"https://github.com/ntt-dkiku/ai-tour-meeting","githubRepoAddedBy":"user","githubStars":0},"canReadDatabase":false,"canManagePapers":false,"canSubmit":false,"hasHfLevelAccess":false,"upvoted":false,"upvoters":[{"_id":"6528f3a590f06dd8a8e97572","avatarUrl":"https://cdn-avatars.huggingface.co/v1/production/uploads/6528f3a590f06dd8a8e97572/_-mnMzoN6ouN7B_qzb3ab.png","isPro":false,"fullname":"Daisuke Kikuta","user":"oookiku","type":"user"}],"acceptLanguages":["en"],"dailyPaperRank":0,"markdownContentUrl":"https://huggingface.co/buckets/huggingchat/papers-content/resolve/2607/2607.18806.md","query":{}}">

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