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Recency Forcing is proposed, which applies a non-positive, timestep-dependent bias, termed Temporal Response Bias (TRB), on pre-softmax attention logits derived directly from $R, closing the train-inference gap without modifying context length or training objectives.
Compact diffusion models can now leverage the power of high-capacity Teachers without architectural changes, achieving remarkable performance gains.
Forget waiting a minute for garment generation: SwiftTailor slashes inference times while boosting accuracy by representing 3D garments as geometry images.
