arXiv cs.AI· Pengcheng Zhou, Xuanyu Liu, Yanchen Yin, Tianjie Ju, Bobo Li, Shengqiong Wu, Hao Fei, Mong-Li Lee, Wynne Hsu·· 1 天前AI 评分31
LiveGeo：在持续演化世界中评测地理智能体
LiveGeo: Benchmarking Geographic Agents in Continuously Evolving Worlds
AI 导读
研究团队推出 GeoWorld 可控且持续演化的地理环境平台，以及基于该平台的基准 LiveGeo，用于评测 LLM 智能体在真实地理环境中的可靠决策。LiveGeo 要求智能体主动获取任务相关信息、验证支撑先前决策的证据是否仍然有效，并在必要时修正计划。结果显示，即便是前沿 LLM 在静态任务上也表现吃力，没有模型能在各任务上持续领先，而强大的静态表现并不能保证动态可靠性。
正文 · 原文
Abstract:We introduce GeoWorld, a controllable and continuously evolving geographic environment platform for LLM agents, and LiveGeo, a benchmark for evaluating reliable decision-making in real-world geographic environments using GeoWorld. Unlike existing evaluations that largely reason and plan over fixed geographic states, GeoWorld is grounded in real-world geographic structure and allows external world states to evolve along their own temporal processes while preserving verifiable state histories. LiveGeo places geographic tasks within this evolving environment, requiring agents to actively acquire task-relevant information, verify whether the evidence supporting prior decisions remains valid, and revise their plans when necessary. Our results reveal that even frontier LLMs struggle with static tasks, with no model consistently excelling across tasks, while strong static performance does not ensure dynamic reliability. Further analysis identifies a key bottleneck: agents struggle to acquire and translate relevant evidence into valid decisions and maintain their correctness as the world evolves. By releasing LiveGeo together with its GeoWorld platform, we aim to provide the community with a flexible and extensible infrastructure for studying the next generation of agents capable of reliable action in evolving geographic worlds.
| Subjects: | Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2611.17267 [cs.AI] |
| (or arXiv:2611.17267v1 [cs.AI] for this version) | |
| https://doi.org/10.48550/arXiv.2611.17267 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Pengcheng Zhou [view email]
[v1]
Thu, 12 Nov 2026 18:45:58 UTC (44,615 KB)
来源：arXiv cs.AI · arxiv.org