June 10, 2024, 4:41 a.m. | Md Imbesat Hassan Rizvi, Xiaodan Zhu, Iryna Gurevych

cs.CL updates on arXiv.org arxiv.org

arXiv:2406.04566v1 Announce Type: new
Abstract: Spatial reasoning is a crucial component of both biological and artificial intelligence. In this work, we present a comprehensive study of the capability of current state-of-the-art large language models (LLMs) on spatial reasoning. To support our study, we created and contribute a novel Spatial Reasoning Characterization (SpaRC) framework and Spatial Reasoning Paths (SpaRP) datasets, to enable an in-depth understanding of the spatial relations and compositions as well as the usefulness of spatial reasoning chains. We …

abstract art artificial artificial intelligence arxiv capability cs.ai cs.cl cs.lg current intelligence language language models large language large language models llms path reasoning spatial state study support type understanding work

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