From 883461eaf5a4ebf83a5dfa0eb21506fa319758ba Mon Sep 17 00:00:00 2001 From: Penghao Jiang <123258594+PenghaoJiang@users.noreply.github.com> Date: Fri, 19 Sep 2025 14:02:19 +1000 Subject: [PATCH] =?UTF-8?q?Create=20code-translation=E5=85=A5=E9=97=A8?= =?UTF-8?q?=E6=8E=A8=E8=8D=90=E5=BF=85=E8=AF=BB.mdx?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- ...0\350\215\220\345\277\205\350\257\273.mdx" | 20 +++++++++++++++++++ 1 file changed, 20 insertions(+) create mode 100644 "app/docs/ai/Multi-agents-system-on-Code-Translation/code-translation\345\205\245\351\227\250\346\216\250\350\215\220\345\277\205\350\257\273.mdx" diff --git "a/app/docs/ai/Multi-agents-system-on-Code-Translation/code-translation\345\205\245\351\227\250\346\216\250\350\215\220\345\277\205\350\257\273.mdx" "b/app/docs/ai/Multi-agents-system-on-Code-Translation/code-translation\345\205\245\351\227\250\346\216\250\350\215\220\345\277\205\350\257\273.mdx" new file mode 100644 index 0000000..bec8452 --- /dev/null +++ "b/app/docs/ai/Multi-agents-system-on-Code-Translation/code-translation\345\205\245\351\227\250\346\216\250\350\215\220\345\277\205\350\257\273.mdx" @@ -0,0 +1,20 @@ +--- +title: 'Code translation入门推荐必读' +description: "" +date: "2025-09-19" +tags: + - tag-one +--- + +# Code translation入门推荐必读 + +入门文章推荐: +1. ExeCoder: Empowering Large Language Models with Executability Representation for Code Translation 微软的工作,提出了一些比较有创意的想法。 +2. Repository-Level Compositional Code Translation and Validation 文件级别的(代码长度越长,难度越大) +3. CoTran: An LLM-based Code Translator using Reinforcement Learning with Feedback from Compiler and Symbolic Execution 常见的使用compiler和RL的方法,结构设计的很棒。 +4. Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code 一个类似survey的文章。让你快速入门。 +5. A Systematic Literature Review on Neural Code Translation 完全体文献综述,读完了感觉什么的都会了。 +6. IMPROVING COMPLEX REASONING WITH DYNAMIC PROMPT CORRUPTION: A SOFT PROMPT OPTIMIZATION APPROACH 一篇关于propmt engineering的文章,读完了也许对你写prompt有作用。 +7. Enhancing LLM-based Code Translation in Repository Context via Triple Knowledge-Augmented 知识增强和Code translation的结合,是一个很有趣的角度,并且也是文件级别的处理。 + +大家如果找到什么很好的文章也欢迎和大家一起分享。