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A single continuous flow model now unifies language and vision generation, outperforming hybrid and discrete models under matched budgets and achieving strong benchmarks with drastically less data.
LLMs can now scale depth more effectively: a new attention mechanism recovers diluted features in deeper layers, boosting performance with negligible overhead.
