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Pretrained LLMs can drive complex robot navigation tasks across diverse environments and requests without any navigation-specific fine-tuning, by offloading motion execution to specialized tools.
Higher-genus Gromov--Witten theory of a Calabi--Yau threefold is shown to be governed by topological recursion on its mirror curve, proving long-standing conjectures.
LightNav-0 achieves state-of-the-art navigation performance by unifying spatial reasoning and action generation in a single model, eliminating the need for task-specific components.