Author

Yuxin Chen

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Preprint Oct 2026

HiGenTrans: Hierarchical LLM Knowledge Transfer for Generative Recommendation

Generative recommendation promises to simplify conventional multi-stage recommender systems by generating item Semantic IDs (SIDs) autoregressively. However, two obstacles limit its effective- ness in industrial settings: interaction-only supervision underuses the semantic knowledge encoded in pretrained language model...

Zhuo-Hang Jiang, Yu-Xin Chen, Hao-Hao Qu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Heterogeneous Agentic Coevolution

Recent advances in self-improving LLM agents have demonstrated the potential of AI systems that drive their own intelligence. However, many domain-specific applications rely on specialized foundation models that possess strong domain expertise but remain dependent on human-designed improvements. Extending recursive sel...

Wenqian Ye, Ziwei Guan, Zi-Jun Yang et al. · 0 citations

Jul 2026

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

This work proposes Request-Oriented Compute Sharing (ROCS), a modeling and inference paradigm that exploits a unique property of recommendation inference: each user request is evaluated against many candidates, while request-side features are shared across candidates.

Yuxin Chen, Liang Luo, Buyun Zhang et al. · arXiv.org · 0 citations