迈向预训练代码模型的高效微调：一项实验研究及其延伸
Towards Efficient Fine-Tuning of Pre-trained Code Models: An
一个适配器适用于所有编程语言？代码搜索和摘要的适配器调优
One Adapter for All Programming Languages? Adapter Tuning fo
使用持续学习在预训练代码语言模型中进行超出分布泛化
引用Martin Weyssow, Xin Zhou, Kisub Kim, David Lo, and Houari
CodeAttack:针对预训练编程语言模型的基于代码的对抗性攻击
论文地址：2206.00052 (arxiv.org)代码：https://github.com/reddy-lab-c
关于从大型语言模型中提取专业代码能力的可行性研究
On Extracting Specialized Code Abilities from Large Language
面向代码预训练模型的多目标后门攻击
Multi-target Backdoor Attacks for Code Pre-trained Models Y
将预训练的代码模型压缩至3MB
Compressing Pre-trained Models of Code into 3 MBJieke Shi1,
大型语言模型能够编写良好的基于属性的测试吗？
Can Large Language Models Write Good Property-Based Tests?Ch
你只看到我想让你看到的：毒化神经代码搜索中的漏洞
You See What I Want You to See: Poisoning Vulnerabilities in
神经代码补全中的中毒漏洞
You Autocomplete Me: Poisoning Vulnerabilities in Neural Cod
预训练代码模型的自然性攻击
Natural Attack for Pre-trained Models of CodeZhou Yang, Jiek
深度源代码处理模型中的投毒攻击与投毒检测
Poison Attack and Poison Detection on Deep Source CodeProces
ChatGPT是否是终极编程助手吗——它有多接近？
Is ChatGPT the Ultimate Programming Assistant - How far is i
ChatGPT能否通过入门级函数式编程课程？
Can ChatGPT Pass An Introductory Level Functional Language P
ChatGPT和软件测试教育：承诺与风险
ChatGPT and Software Testing Education: Promises & PerilsSaj
CodeXGLUE：用于代码理解和生成的机器学习基准数据集
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Und
预训练模型的源代码的实证比较
An Empirical Comparison of Pre-Trained Models of Source Code
对用于程序理解和生成的预训练模型的广泛研究
An extensive study on pre-trained models for program underst
利用迁移学习完成代码相关任务
引用Mastropaolo A, Cooper N, Palacio D N, et al. Using transfe
对软件工程大型语言模型的评论：以chatgpt和自动程序修复为例
A critical review of large language model on software engine
