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Preprint Aug 2026

LLM-Enhanced Commit Message Generation via Issue Information: An Exploratory Study

Commit messages help developers understand code changes, support collaboration, and improve long-term maintenance. However, the use of issue information alone as the external context for LLM-based CMG has not been systematically studied. We propose an ISsue-Augmented framework for Commit message generation (ISAC) by co...

Zong-En Ren, Wei Shi, Bo Xiong et al. · 0 citations
#artificial intelligence Preprint Sep 2026

FeatLens: Feature-Guided Dynamic Code Graph Construction and Retrieval for Repository-Level Code Generation

Recent code generation research has moved from isolated function completion toward repository-level generation in existing codebases. To implement a target function correctly, an LLM must identify reusable repository dependencies such as existing functions, APIs, and cross-file definitions. Existing retrieval methods p...

Xu-Tian Li, Bo Xiong, Yi-Feng Zhu et al. · 0 citations

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