代码生成论文_20241022.zip
资源来源:本地上传资源
文件类型:ZIP
大小:14.86MB
评分:
5.0
上传者:sinat_37574187
更新日期:2024-10-22

11个代码生成相关的论文,20241022更新版本-持续更新,包含代码搜索、代码搜索、代码模型survey、代码评论评估、代码评

资源文件列表(大概)

文件名
大小
代码生成论文_20241022/
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代码生成论文_20241022/代码或bug分类/
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代码生成论文_20241022/.DS_Store
10KB
__MACOSX/代码生成论文_20241022/._.DS_Store
120B
代码生成论文_20241022/代码评估与提示/
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代码生成论文_20241022/代码生成/
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代码生成论文_20241022/代码评论评估/
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代码生成论文_20241022/代码搜索/
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代码生成论文_20241022/代码模型survey/
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代码生成论文_20241022/代码或bug分类/.DS_Store
6KB
__MACOSX/代码生成论文_20241022/代码或bug分类/._.DS_Store
120B
代码生成论文_20241022/代码或bug分类/Transformer-based networks over tree structures for code classification.pdf
1.16MB
__MACOSX/代码生成论文_20241022/代码或bug分类/._Transformer-based networks over tree structures for code classification.pdf
518B
代码生成论文_20241022/代码或bug分类/LLMBRC A large language model-based bug report classification framework.pdf
2.56MB
__MACOSX/代码生成论文_20241022/代码或bug分类/._LLMBRC A large language model-based bug report classification framework.pdf
418B
代码生成论文_20241022/代码评估与提示/.DS_Store
6KB
__MACOSX/代码生成论文_20241022/代码评估与提示/._.DS_Store
120B
代码生成论文_20241022/代码评估与提示/Analyzing Prompt Influence on Automated Method Generation- An Empirical Study with Copilot.pdf
947.52KB
__MACOSX/代码生成论文_20241022/代码评估与提示/._Analyzing Prompt Influence on Automated Method Generation- An Empirical Study with Copilot.pdf
376B
代码生成论文_20241022/代码评估与提示/Program Code Generation with Generative AIs.pdf
480.83KB
__MACOSX/代码生成论文_20241022/代码评估与提示/._Program Code Generation with Generative AIs.pdf
425B
代码生成论文_20241022/代码评估与提示/A_Comparison_of_the_Effectiveness_of_ChatGPT_and_Co-Pilot_for_Generating_Quality_Python_Code_Solutions.pdf
352.52KB
__MACOSX/代码生成论文_20241022/代码评估与提示/._A_Comparison_of_the_Effectiveness_of_ChatGPT_and_Co-Pilot_for_Generating_Quality_Python_Code_Solutions.pdf
510B
代码生成论文_20241022/代码评估与提示/Comparing large language models and human programmers for generating programming code.pdf
2.04MB
__MACOSX/代码生成论文_20241022/代码评估与提示/._Comparing large language models and human programmers for generating programming code.pdf
340B
代码生成论文_20241022/代码评估与提示/Rethinking AI code generation a oneshot correction approach based on user feedback.pdf
2.79MB
__MACOSX/代码生成论文_20241022/代码评估与提示/._Rethinking AI code generation a oneshot correction approach based on user feedback.pdf
404B
代码生成论文_20241022/代码生成/.DS_Store
6KB
__MACOSX/代码生成论文_20241022/代码生成/._.DS_Store
120B
代码生成论文_20241022/代码生成/Leveraging pre-trained language models for code generation.pdf
4.74MB
__MACOSX/代码生成论文_20241022/代码生成/._Leveraging pre-trained language models for code generation.pdf
504B
代码生成论文_20241022/代码评论评估/Exploring the impact of code review factors on the code review comment generation.pdf
1.27MB
__MACOSX/代码生成论文_20241022/代码评论评估/._Exploring the impact of code review factors on the code review comment generation.pdf
418B
代码生成论文_20241022/代码搜索/.DS_Store
6KB
__MACOSX/代码生成论文_20241022/代码搜索/._.DS_Store
120B
代码生成论文_20241022/代码搜索/Multimodal Representation for Neural Code Search.pdf
1019.4KB
__MACOSX/代码生成论文_20241022/代码搜索/._Multimodal Representation for Neural Code Search.pdf
340B
代码生成论文_20241022/代码模型survey/A Survey on Large Language Models for Code Generation .pdf
2.33MB
__MACOSX/代码生成论文_20241022/代码模型survey/._A Survey on Large Language Models for Code Generation .pdf
340B
代码生成论文_20241022/代码模型survey/.DS_Store
6KB
__MACOSX/代码生成论文_20241022/代码模型survey/._.DS_Store
120B

资源内容介绍

find . -mindepth 2 -maxdepth 2 -type f -name"*.pdf" | awk -F/ '{print $(NF-1)}' | sort | uniq -c 2 代码或bug分类 1 代码搜索 1 代码生成 1 代码模型survey 1 代码评论评估 5 代码评估与提示

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