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SpatialCLI: Learning to Reason With Spatial Tools, Then Without Them

21 upvotes · 30 JUL 2026 · Yang Zhou, Zixuan Huang, Sunzhu Li et al.

This paper develops a framework, SpatialCLI, to help vision-language models (VLMs) better understand and use visual tools to make better decisions. By training VLMs to reason with spatial tools and then internalize those capabilities, SpatialCLI can improve the performance of VLMs in tasks that require visual reasoning.

vision-language modelsspatial reasoningvisual perceptionembodied agentsreinforcement learning