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Preprint Aug 2026

Knowledge-Geometry Decoupling: Refreshable Pretrained Transfer for Streaming Recommendation

Knowledge-Geometry Decoupling (KGD) is proposed and Behavioral Multi-Token Prediction (BMTP) is introduced to retain only collaboratively or semantically related future items as supervision, yielding cleaner and more transferable behavioral knowledge.

Zixuan Wang, Yuhong Chen, Yuxuan Zhu et al. · 0 citations
Preprint Aug 2026

CodeHID: Learning an Addressable Hierarchical Code Index for Generative Code Retrieval

This paper proposes CodeHID, a generative code retrieval framework that reformulates the code retrieval task from flat candidate matching to coarse-to-fine semantic address generation and outperforms existing sparse retrieval, pre-trained code models, dense code retrieval, and generative retrieval baselines by a large...

Zhen Li, Yuhong Chen, Wenhao Xu et al. · 0 citations

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