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The paper introduces MIRROR, a self-distillation framework from Baidu that shifts LLM personalization from reference-token imitation to internalizing user preferences via on-policy distributional alignment, with a MIRROR-F focal plug-in that improves content quality while reducing catastrophic forgetting across benchmarks and model scales.