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Author

Siqi Wang

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Enhancing Rubric-based RL via Self-Distillation

Criterion-Distilled Policy Optimization (CriPO), which enhances rubric-based RL via on-policy self-distillation via on-policy self-distillation, to simultaneously address both unexplored and suppressed criteria.

Mingxuan Xia, Yuhang Yang, Chaonan Ye et al. · 3 citations · ⚡2
Jul 2026

SlimPer: Make Personalization Model Slim and Smart

SlimPer unifies sparse, dense, and sequence features within a single backbone and provides inherent interpretability through its attention mechanism, which yields measurable improvements in user engagement while streamlining the overall system and enabling effective modeling of 10k+ fine-grained user history events.

Siqi Wang, Xian-Jie Chen, Shaofen Deng et al. · 1 citation

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