一作ACL 2026Findings· Findings of ACL
EVG eo QA : Benchmarking LLM s on Dynamic, Multi-Objective Geo-Spatial Exploration
Jianfei Wu · Zhichun Wang · Zhensheng Wang · Zhiyu He
摘要
While Large Language Models (LLMs) demonstrate remarkable reasoning capabilities, their potential for purpose-driven exploration in dynamic geo-spatial environments remains under-investigated. Existing Geo-Spatial Question Answering (GSQA) benchmarks predominantly focus on static retrieval, faili...