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Large-scale structured academic visual data can transform image generation from mere aesthetic appeal to verifiable knowledge-grounded creation.
ACE revolutionizes context management for LLM agents, enabling them to adaptively retain critical information without loss, leading to superior decision-making performance.
SparseX achieves efficient KV Cache sharing for LLMs, restoring contextual interactions without the overhead of additional models or preprocessing.
A billion-scale SAR foundation model closes the domain generalization gap in SAR imagery by 10% mIoU, thanks to a physics-guided MoE architecture.
Forget billion-scale datasets: EvoTok achieves state-of-the-art image tokenization for both understanding and generation using a residual evolution process trained on just 13M images.
Current image editing models stumble when domain-specific knowledge is required, as revealed by a new benchmark spanning disciplines from natural science to social science.
