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Found 5 papers, 1 papers with code
RepoHyper: Better Context Retrieval Is All You Need for Repository-Level Code Completion
Code Large Language Models (CodeLLMs) have demonstrated impressive proficiency in code completion tasks.
Better Language Models of Code through Self-Improvement
We aim to improve this issue by proposing a simple data augmentation framework.
HierarchyNet: Learning to Summarize Source Code with Heterogeneous Representations
We propose a novel method for code summarization utilizing Heterogeneous Code Representations (HCRs) and our specially designed HierarchyNet.
Does BLEU Score Work for Code Migration?
In this paper, we conducted an empirical study on BLEU score to (in)validate its suitability for the code migration task due to its inability to reflect the semantics of source code.
Duplicate Bug Report Detection With a Combination of Information Retrieval and Topic Modeling
Detecting duplicate bug reports helps reduce triaging efforts and save time for developers in fixing the same issues.
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