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Université de Montréal
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Forcing VLMs to "think" visually with panoramic renderings, rather than relying on language alone, unlocks surprisingly robust spatial reasoning.
Even the best MLLMs still fall far short of human performance in collaborative spatial reasoning, revealing a critical gap in their ability to build and maintain shared mental models through dialogue.
