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Switching between autoregressive and diffusion modes allows Nemotron-Labs-Diffusion to achieve unprecedented throughput and efficiency in language modeling.
PERIA-8B not only surpasses state-of-the-art models in spatial reasoning but does so with a fraction of their size, revealing the power of tool-augmented approaches.
Grounding boosts spatial reasoning in VLMs: explicitly linking language to 2D and 3D scene elements lets models decompose complex spatial problems and improve performance even on non-grounded tasks.
