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Yun-Long Wang

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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
Preprint Sep 2026

TGR: Advancing Industrial Recommendation from Generative-Paradigm Ranking toward Unified Generation and Reasoning

TGR (Tencent Generative Recommendation), an industrial framework that advances recommendation toward the generative paradigm along three coupled directions, is presented, which is deployed across Tencent production surfaces serving hundreds of millions of users.

T. Cheng, Hao-Nan Hu, Bei-Bei Kong et al. · 0 citations

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