王宇:A Grammar-Based Structural CNN Decoder for Code Generation6 赞同 · 1 评论文章 如图所示,对于 length=10 的AST,作者采用Depth Search的方式,将AST拆解为Grammer Rule Sequence,形如:id:root→c1,c2,Target function: P(Code)=Πi=1P(ri|NL,r1,…,ri−1) Proposed Approach 图2. Model Architectu...
Official implementation ofStructCoder: Structure-Aware Transformer for Code Generation Overview There has been a recent surge of interest in automating software engineering tasks using deep learning. This work addresses the problem of code generation where the goal is to generate target code given source...
86.7% and a perplexity of 1.82 for Python programming language. Opens in a new tab Publication Groups Data&AI Science Projects IntelliCode Completions Microsoft DeepDev Research Areas Artificial intelligence Programming languages and software engineering...
Top-k frequency矩阵是利用代码预训练语言模型在CodeSearchNet语料上学习token之间的attention交互频率,AST pattern矩阵是解析代码的抽象语法树(Abstract Syntax Tree,AST ),根据语法树的连接关系得到token之间的交互信息。Sparse Transformer训练阶段以Transformer Encoder作为基础框架,将full self-attention替换为structure-aware...
A Tree-Based Transformer Architecture for Code Generation.Our paper is available at https://arxiv.org/abs/1911.09983. (Accepted by AAAI'20)The Pytorch version is available at https://github.com/zysszy/TreeGen-Pytorch/tree/main.News:TreeGen has been successfully applied toCode Search (OCoR: An...
Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmark...
In addition, advances in high-throughput mutagenesis, directed evolution and next-generation sequencing have allowed for the accumulation of large amounts of labelled fitness data. Leveraging these two trends, we introduce Regularized Latent Space Optimization (ReLSO), a deep transformer-based auto...
including machine translation, question answering, and document summarization. Inspired by the GPT-2 transformer model developed by OpenAI, we trained a multi-layer transformer model for code generation (GPT-C) on more than half-million public open-source repositories for...
或者,您可以使用以下命令直接从 Hugging Face Hub 下载数据集:$ git clone https://huggingface.co/datasets/transformersbook/codeparrot处理50GB 的数据集可能是具有挑战性的;它需要足够的磁盘空间,并且必须小心不要耗尽 RAM。在接下来的部分中,我们将看看数据集如何帮助解决在小型计算机上处理大型数据集的这些限制。
Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu. CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmark...