From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation.

arXiv:2607.21620v2 Announce Type: replace Abstract: Personalized text generation requires models to capture user-specific writing styles from historical data. Existing approaches based on retrieval, parameter-efficient fine-tuning, or activation steering eithe