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AI-Driven Code Documentation: Comparative Evaluation of LLMs for Commit Message Generation
DOI:10.3390/computers15020087.png)
Abstract
En
Keywords:
large language models
commit message generation
retrieval-augmented generation
CommitBench
transformer-based models
automatic and human evaluation
AI Summary
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Journal
C
IF:
4.2
Papers:
1.4K
Citations:
3.3K
Organization
Cited Papers
CoreGen: Contextualized Code Representation Learning for Commit Message Generation
NEUROCOMPUTING
IF6.5
MFGAN: Multimodal Fusion for Industrial Anomaly Detection Using Attention-Based Autoencoder and Generative Adversarial Network
SENSORS
IF3.5

