From profiles to steering vectors: Global Sparse Priors and Local Semantic Calibration for personalized text generation
Read the original at arxiv.org→arXiv:2607.21620v1 Announce Type: new Abstract: Personalized text generation requires models to capture user-specific writing styles from historical data. Existing approaches based on retrieval, parameter-efficient...
Original headline: "From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation"
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- Jul 27, 04:00 UTC arXiv cs.AI lead source From Profiles to Steering Vectors: Global Sparse Priors and Local Semantic Calibration for Personalized Text Generation