Mohammad Mahdavian

Chain of Spatial Thoughts: Modality-Agnostic Spatial Grounding for Vision Language Models

Space Tokens is introduced, a lightweight, architecture-agnostic framework that equips VLMs with explicit continuous spatial representations without requiring additional inference-time modules, and demonstrates that continuous spatial tokens provide an effective, interpretable, and computationally efficient mechanism for integrating geometric reasoning into large vision-language models.