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An empirical study on fine-tuning large language models of code for automated program repair
The advent of large language models (LLMs) has opened up new opportunities for
automated program repair (APR). In particular, some recent studies have explored how to …
automated program repair (APR). In particular, some recent studies have explored how to …
Unifying the perspectives of nlp and software engineering: A survey on language models for code
Z Zhang, C Chen, B Liu, C Liao, Z Gong, H Yu… - ar** from the vulnerable code to the fixed …
Unveiling memorization in code models
The availability of large-scale datasets, advanced architectures, and powerful computational
resources have led to effective code models that automate diverse software engineering …
resources have led to effective code models that automate diverse software engineering …
An empirical study of automated vulnerability localization with large language models
Recently, Automated Vulnerability Localization (AVL) has attracted much attention, aiming to
facilitate diagnosis by pinpointing the lines of code responsible for discovered …
facilitate diagnosis by pinpointing the lines of code responsible for discovered …
Codegen4libs: A two-stage approach for library-oriented code generation
Automated code generation has been extensively studied in recent literature. In this work,
we first survey 66 participants to motivate a more pragmatic code generation scenario, ie …
we first survey 66 participants to motivate a more pragmatic code generation scenario, ie …
An empirical study of parameter-efficient fine-tuning methods for pre-trained code models
J Liu, C Sha, X Peng - 2023 38th IEEE/ACM International …, 2023 - ieeexplore.ieee.org
Pre-trained code models (eg CodeBERT and CodeT5) have demonstrated their code
intelligence in various software engineering tasks, such as code summarization. And full fine …
intelligence in various software engineering tasks, such as code summarization. And full fine …