Author

Chengbing Wang

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#natural language process... Preprint Sep 2026

Rubric-Aware On-Policy Self-Distillation for LLM Personalization

GRASP is a rubric-aware on-policy self-distillation framework for LLM personalization that turns user-specific rubric aspects into fine-grained, token-level supervision, and Rubric-based Teacher Validation (RTV) is introduced, which retains only instances where the teacher sufficiently covers the target aspects, improv...

Yilun Qiu, Xiao-Yan Zhao, Cheng-Bing Wang et al. · 0 citations

Jul 2026

PrefReward: Learning User Preference Matrix for Personalized Text Generation

Experiments on the LongLaMP dataset show that PrefReward outperforms non-personalized and retrieval-based baselines in both generation quality and personalization interpretability.

Yue Wu, Chengbing Wang, Yimeng Bai et al. · arXiv.org · 0 citations