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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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