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Shanghai Academy of AI for Science
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Diffusion models can now reason recursively over visual tokens, achieving state-of-the-art image generation performance by dynamically selecting specialized neural modules at each diffusion step.
Achieve state-of-the-art results in temporal knowledge graph question answering by explicitly modeling temporal constraints within both question representations and graph reasoning.
