1 citations · 2 across the 13 of their papers we have counts for
4 papers · 1 filter
Repository Structure-Aware Training Makes SLMs Better Issue Resolver
Zexiong Ma, Shengnan An, Zeqi Lin +2
Language models have been applied to various software development tasks, but the performance varies according to the scale of the models. Large Language Models (LLMs) outperform Sm…
Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation
Zexiong Ma, Shengnan An, Zeqi Lin +3
Large language models (LLMs) are susceptible to generating hallucinated information, despite the integration of retrieval-augmented generation (RAG). Parallel context extension (PC…
Decomposing God Header File via Multi-View Graph Clustering
Yue Wang, Wenhui Chang, Tongwei Deng +2
God Header Files, just like God Classes, pose significant challenges for code comprehension and maintenance. Additionally, they increase the time required for code recompilation. H…
MESIA: Understanding and Leveraging Supplementary Nature of Method-level Comments for Automatic Comment Generation
Xinglu Pan, Chenxiao Liu, Yanzhen Zou +2
Code comments are important for developers in program comprehension. In scenarios of comprehending and reusing a method, developers expect code comments to provide supplementary in…