mlsanityData to 14 Oct 2026

AI Tour Meeting: Group Travel Planning by LLM Agents

arXiv 2607.18806 ↗First posted 21 Jul 2026cs.AI cs.CL cs.MAcited by 0

On the map: LLM agents and tool use → General LLM agent frameworks and benchmarks

Abstract (arXiv)

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.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Placed in General LLM agent frameworks and benchmarks, one of 16 directions in LLM agents and tool use. Builds on 10 of its 17 references that are in the map. First posted on arXiv 21 Jul 2026.

Builds on

10 of 17 references.

Closest ancestors · 5

Same direction, newest first

  1. 2026GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning24 May
  2. 2025ATLAS: Constraints-Aware Multi-Agent Collaboration for Real-World Travel Planning29 Sep
  3. 2024TravelPlanner: A Benchmark for Real-World Planning with Language Agents2 Feb
  4. 2023SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents18 Oct
  5. 2023CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society31 Mar

Other references · 5

  1. 2023Efficient Memory Management for Large Language Model Serving with PagedAttentioncited by 5,944
  2. 2023Generative Agents: Interactive Simulacra of Human Behaviorcited by 3,568
  3. 2025gpt-oss-120b & gpt-oss-20b Model Cardcited by 1,386
  4. 2023PersonaLLM: Investigating the Ability of Large Language Models to Express Personality Traitscited by 234
  5. 2024Quantifying the Persona Effect in LLM Simulationscited by 169

Built on by

Not cited yet.

Similar, not cited

Close in wording, no citation either way

  1. 2024Smart Language Agents in Real-World Planning
  2. 2024A Human-Like Reasoning Framework for Multi-Phases Planning Task with Large Language Models
  3. 2025Analyzing Information Sharing and Coordination in Multi-Agent Planning
  4. 2025LLM-ABM for Transportation: Assessing the Potential of LLM Agents in System Analysis
  5. 2025LLMAP: LLM-Assisted Multi-Objective Route Planning with User Preferences
  6. 2024Understanding the planning of LLM agents: A survey
  7. 2024Robust Planning with LLM-Modulo Framework: Case Study in Travel Planning
  8. 2025Vaiage: A Multi-Agent Solution to Personalized Travel Planning