Research on evaluation standards for spatial cognitive abilities in large language models
Peer-Reviewed Publication
Updates every hour. Last Updated: 3-Nov-2025 01:11 ET (3-Nov-2025 06:11 GMT/UTC)
Focusing on the spatial cognitive capabilities of large language models (LLMs), researchers led by Prof. Danhuai Guo from Beijing University of Chemical Technology have introduced SRT4LLM, a standardized framework for testing the spatial cognition of LLMs. The framework systematically assesses LLMs across three key dimensions—spatial object types, spatial relations, and prompt engineering strategies—and establishes a unified testing process to support the development of native geographic LLMs.