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20232026
most citedAn Empirical Study of Retrieval-Augmented Code Generation: Challenges and Opportunities

1 citations · 3 across the 9 of their papers we have counts for

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cs.SE2026

MOA: A Profiling-Guided LLM Framework for Memory-Optimization Automation at Codebase Scale

Jiaxi Liang, Yuanxiang Shi, Zezhou Yang +1

Modern large-scale software systems often suffer from pervasive memory inefficiencies (e.g., bloat, churn), leading to excessive resource costs and performance degradation. Existin…

cs.SE2026

Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing

Chaozheng Wang, Zezhou Yang, Shuzheng Gao +7

Code editing constitutes a fundamental practice in software development, wherein developers modify existing codebases according to natural language requirements. Accurate code edit…