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The limitation of PREEN is that it depends on a fixed 29-parameter editor, and if the editor parameter system changes, the model needs to be re-adapted; in addition, the quality of the pseudo-presets is influenced by the teacher model, and the teacher model's bias may propagate into the final presets.
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10/28/2026
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UnverifiedThe training supervision signal of PREEN is generated by introducing a style transfer teacher model: the teacher model's target appearance is inverted into the editor parameter space to generate pseudo-presets.74% similarUnverifiedPREEN transforms style transfer into a regression problem over the editor parameter space, and its output is a set of preset parameters that can be manually adjusted and re-edited, offering interpretability.72% similarUnverifiedThe challenge of streaming model distillation lies in the fact that if the teacher model adopts a non-causal architecture, its latent representations contain future information that the student model cannot access during inference, requiring the design of alignment strategies to prevent the student from being forced to fit information it cannot reproduce.70% similarUnverified自回归生成系统训练采用Teacher Forcing策略，推理阶段切换为自回归模式后产生分布偏移导致误差累积放大68% similarUnverifiedWhether the design of the structured schema can generalize to other behavioral domains, and how to stably control the quality of trajectories generated by the teacher model, are questions that remain to be verified.67% similar
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