3 papers
cs.DB2025
OSM+: Billion-Level OpenStreetMap Dataset for City-wide Experiments
Guanjie Zheng, Ziyang Su, Yiheng Wang +6
Road network data provides rich information about cities, but processing worldwide OpenStreetMap (OSM) data is computationally intensive, and the resulting graphs are often difficu…
cs.AI2025
Scientists' First Exam: Probing Cognitive Abilities of MLLM via Perception, Understanding, and Reasoning
Yuhao Zhou, Yiheng Wang, Xuming He +26
Scientific discoveries increasingly rely on complex multimodal reasoning based on information-intensive scientific data and domain-specific expertise. Empowered by expert-level sci…
cs.CL2024
What can LLM tell us about cities?
Zhuoheng Li, Yaochen Wang, Zhixue Song +4
This study explores the capabilities of large language models (LLMs) in providing knowledge about cities and regions on a global scale. We employ two methods: directly querying the…