Feb 20, 2024 · We examine the impact of pre-training data on code-focused LLMs' performance by assessing the comment density as a measure of PL-NL alignment.
We introduce a novel data augmentation method that generates comments for existing code, coupled with a data filtering strategy that filters out code data ...
Firstly, it enables LLMs to generate comments for code through instruction tuning. Then, LLMs generate comments for existing code. The further training is ...
Aug 11, 2024 · Given the scarcity of code-comment aligned data in pre-training corpora, we introduce a novel data augmentation method that generates comments.
Sep 23, 2024 · ... Adding comments in the code corpus can also enhance the performance of LLMs in code-relevant tasks [7,54,81,90]. In code generation, code ...
People also ask
Why do we need comments in code?
What is the purpose of adding comments in the code?
What are the different types of comments in code?
How do you add comments to your code?
May 26, 2024 · LLM's can't completely solve a generalized software problem for you (yet). It needs specifics and what exactly you want to fix/change. If you ...
A comprehensive review of LLM researches for code. Works in each category are ordered chronologically.
鉴于预训练语料库中代码注释对齐数据的稀缺性，我们引入了一种新颖的数据增强方法，可以为现有代码生成注释，并结合数据过滤策略，过滤掉与自然语言相关性较差 ...
The LLM Agent, equipped with a code interpreter, is capable of automatically solving real-world coding tasks, such as data analysis and image editing.
This paper explores the potential of Language Model-based (LLM) approaches, particularly advanced models such as GPT-3, to automate the classification of ...
Missing: Augmentation. | Show results with:Augmentation.