agent/papers/items/2026-2607-00604-vehicle-routing-problem-meets-large-language-models-an-overview-and-perspectives.md

Paper: Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives

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type: paper title: "Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives" authors: Xianchao Xiu, Chong Shen, Yanjiao Zhu, Wanquan Liu year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.00604 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-01 updated_at: 2026-07-01 status: queued relevance: high topics:

• agent-evaluation
• multi-agent
• planning
• reasoning
• tool-use
• workflow-agent methods:

benchmarks:

models:

datasets:

• math.OC related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 14 collection_queries: multi-agent-llm

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

• matched queries: multi-agent-llm
• inferred topics: agent-evaluation, multi-agent, planning, reasoning, tool-use, workflow-agent
• arXiv categories: math.OC
• collection score: 14

Review Checklist

• Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
• Does it include a benchmark, dataset, code, or reproducible experimental setup?
• Should it be promoted from queued to skimmed or summarized?

Links

• arXiv: https://arxiv.org/abs/2607.00604