网安AIGC信息的相关内容

【网安AIGC专题11.7】17ASAP如何更好地改进少样本提示：在LLMs的prompt中添加语义信息，来提高代码摘要生成+代码补全任务的性能。CodeSearchNet数据集（下）

用例和补全流水线ASAP有3个组成部分：一个LLM，一个可用示例池(标记的输入-输出对，例如，带注释的代码)，以及一个用于从代码中获取事实的静态分析工具。一个配置文件会指定这些组件。一旦配置完成后，开发人员对函数体Cin(如左图所示)调用ASAP ，并需要一个输出(例如，代码摘要)。 ...

【网安AIGC专题11.7】17ASAP如何更好地改进少样本提示：在LLMs的prompt中添加语义信息，来提高代码摘要生成+代码补全任务的性能。CodeSearchNet数据集（上）

写在最前面本文为邹德清教授的《网络安全专题》课堂笔记系列的文章，本次专题主题为大模型。范晓萱同学分享了Improving Few-shot Prompts with Relevant Static Analysis Products《用相关静态分析产品改进少样本提示》论文：https://arxiv...

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【网安AIGC专题10.25】论文7：Chatgpt/CodeX引入会话式 APR 范例+利用验证反馈+LLM 长期上下文窗口：更智能的反馈机制、更有效的信息合并策略、更复杂的模型结构、鼓励生成多样性

写在最前面本文为邹德清教授的《网络安全专题》课堂笔记系列的文章，本次专题主题为大模型。饶鸿洲同学: @weixin_42161680 分享了Conversational Automated Program Repair《对话式自动程序修复》.CoRR abs/2301.13246(2023)分享时的...

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