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Chao Yu

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#machine learning Preprint Aug 2026

PRIME: Mitigating Subgroup Optimization Competition in Shared CTR Top Networks with Plug-in Residual Input-Conditioned Mixture of Expert

Results show that function-preserving conditional residuals add input-dependent capacity while preserving the Dense path and its optimization stability, and introduce PRIME (Plug-in Residual Input-conditioned Mixture of Experts), a Dense-anchored mixture of low-rank residual experts.

Heng Yao, Si-Yun Hou, Tian-Ying Liu et al. · 0 citations
Preprint Aug 2026

SmartGR: Hierarchy and Beam-Aware Knowledge Distillation for Generative Recommendation

SmartGR is proposed, a novel distillation framework that utilizes Hierarchy-Aware SID Distillation to transfer the teacher's modeling capability across the hierarchy and leverages Beam-Aware Ranking Distillation to distill the teacher's ranking preferences during beam search.

Ziheng Zhang, Yu Cui, Bohao Wang et al. · 0 citations

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