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#artificial intelligence Preprint Jan 2026

Do Implicit Personalization and Explicit Styles Conflict? PsPLUG: A Lightweight Plug-in for Balancing Personalization and Style in Customized LLMs

PsPLUG is proposed, a lightweight plug-in that learns a user-specific residual after accounting for the requested style, and better preserves user preferences while providing precise control over the balance between personalization and style adherence.

Yutong Song, Jiang Wu, Shaofan Yuan et al. · 1 citation

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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