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High-quality mobile video generation is now possible with a 5B-parameter model, challenging the notion that smaller models are necessary for mobile applications.
CARVE's chunk-adaptive reranking strategy reveals that tailored retrieval configurations can dramatically improve video generation performance.
Diffusion language models have surprisingly redundant early layers, enabling nearly 20% FLOPs reduction at inference time via layer skipping without sacrificing performance.
