Author

Haoye Wang

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#natural language process... Jul 2026

SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training

SynH-Rank is proposed, a quality-aware code reranking framework that combines LLM-driven diverse data synthesis with hierarchical ranking training and employs a three-level labeling scheme to explicitly model the hierarchy: high-quality relevant>low-quality relevant>irrelevant.

Keyu Liang, Haoye Wang, Yanfu Yan et al. · arXiv.org · 0 citations

Preprint Aug 2026

Effective and Efficient Context Retrieval via Partial Dependency Graph for Repository-Level Code Generation

DyRetriever is an efficient context retrieval method via partial dependency graphs that uses an LLM to first select a set of entry-point functions and then perform multi-hop reasoning along the code dependency graph, eliminating manually designed rules and enabling flexibility across scenarios.

Zhongxin Liu, Zhonghao Jiang, Zhi-Fan Ye et al. · 1 citation