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cs.SE2026
SynH-Rank: Quality-Aware Code Search via Diverse Data Synthesis and Hierarchical Ranking Training
Keyu Liang, Haoye Wang, Yanfu Yan +2
Code search enhances developer productivity by enabling efficient code reuse. Current code search systems often use a retrieve-then-rerank pipeline, where rerankers focus on modeli…
cs.SE2025
Zero-Shot Cross-Domain Code Search without Fine-Tuning
Keyu Liang, Zhongxin Liu, Chao Liu +3
Code search aims to retrieve semantically relevant code snippets for natural language queries. While pre-trained language models (PLMs) have shown remarkable performance in this ta…
cs.SE2024
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
Jiawei Lu, Haoye Wang, Zhongxin Liu +3
Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions…