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CARD: Cluster-level Adaptation with Reward-guided Decoding for Personalized Text Generation

This work presents CARD, a hierarchical framework that achieves effective personalization through progressive refinement that first clusters users according to shared stylistic patterns and learns group-specific LoRA adapters, enabling robust generalization and strong low-resource performance.

Yu-Tong Song, Jiang Wu, Weijia Zhang et al. · 3 citations

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