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SpatialASM: Internalizing Active Mentalization for Spatial Reasoning

Read the original at HF Daily Papers

Summary

Researchers introduce SpatialASM, a framework that trains large vision-language models to mentally reconstruct spatial layouts from various viewpoints to improve their reasoning performance.

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