Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM

• URL: http://arxiv.org/abs/2506.12421v1
• Date: Sat, 14 Jun 2025 09:37:59 GMT
• Title: Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM
• Authors: Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao,
• Abstract summary: Travel planning is a complex task requiring the integration of diverse real-world information and user preferences.<n>We formulate this as an $L3$ planning problem, emphasizing long context, long instruction, and long output.<n>We introduce Multiple Aspects of Planning (MAoP), enabling LLMs to conduct wide-horizon thinking to solve complex planning problems.
• Score: 58.50687282180444
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: Travel planning is a complex task requiring the integration of diverse real-world information and user preferences. While LLMs show promise, existing methods with long-horizon thinking struggle with handling multifaceted constraints and preferences in the context, leading to suboptimal itineraries. We formulate this as an $L^3$ planning problem, emphasizing long context, long instruction, and long output. To tackle this, we introduce Multiple Aspects of Planning (MAoP), enabling LLMs to conduct wide-horizon thinking to solve complex planning problems. Instead of direct planning, MAoP leverages the strategist to conduct pre-planning from various aspects and provide the planning blueprint for planning models, enabling strong inference-time scalability for better performance. In addition, current benchmarks overlook travel's dynamic nature, where past events impact subsequent journeys, failing to reflect real-world feasibility. To address this, we propose Travel-Sim, an agent-based benchmark assessing plans via real-world travel simulation. This work advances LLM capabilities in complex planning and offers novel insights for evaluating sophisticated scenarios through agent-based simulation.

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