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UMI-Bench 1.0 reveals that standardized, reproducible evaluations can significantly improve our understanding of UMI-style manipulation policies in real-world settings.
Crafter revolutionizes scientific figure generation by enabling multi-type outputs and local editability, outperforming existing systems across diverse benchmarks.
LongCat-Next shatters the language-centric paradigm by unifying text, vision, and audio into a single autoregressive model with minimal modality-specific design, finally reconciling understanding and generation in discrete vision modeling.
