TL;DR在LLM代码生成中使用Planning方法。之前的LLM在decoder生成的结果中,会使用Beam Search这类算法来生成最终的代码,但是这种算法貌似不适用于代码生成,生成的代码经常CE/输出错误。因此作者提出了一种Planni…
该文综述,将代码生成定义为自然语言到代码的任务(NL2Code)。 虽然最近的调查已经从自然语言处理(NLP)、软件工程(SE)或两者的结合[91, 264, 271, 278]的角度阐述了代码LLMs,但它们经常涵盖了一系列广泛的代码相关任务。然而,关于代码生成的高级主题,如细致的数据策划、指令调整、与反馈的对齐、提示技术、自主编码...
knowledge, this is the first survey of large language models for NL2Code, and we believe it will contribute to the ongoing development of the field. (在新选项卡中打开)
Language-to-code Language-to-language State-of-the-Art AI Foundation Models Large language models(LLMs) are hard to develop and maintain, requiring mountains of data, significant investment, technical expertise, and massive-scale compute infrastructure. Starting with one of NeMo’s pretrained foundati...
Currently, although Large Language Models (LLMs) have shown significant performance in the field of code generation, their effectiveness in handling complex programming tasks remains limited. This is primarily due to the substantial distance between the problem description and the correct code, making ...
knowledge, this is the first survey of large language models for NL2Code, and we believe it will contribute to the ongoing development of the field. Opens in a new tab
LlaMA (Large Language Model Meta AI), by Meta, is primarily built for developers and researchers to facilitate innovation. However, it can also perform other complex tasks like translation and dialogue generation. It also creates codes and natural language about code from prompts. ...
Code This branch is1 commit ahead ofVHellendoorn/Code-LMs:main. README MIT license Large Models of Source Code Repository for Evaluating Large Language Models for Code.PolyCoder. Here, I describe how to use these. October 2022 - PolyCoder is available on Huggingface!
Recent advancements in large language models (LLMs) have catalyzed significant interest in the automatic generation of Register-Transfer Level (RTL) code, particularly Verilog, from natural language instructions. While commercial LLMs like ChatGPT have dominated this domain, open-source alternatives have...
so prediction sets can be arbitrary subsets of labels. For structured prediction problems where the space of labels is exponential in size, even prediction sets containing a small fraction of all labels can be exponentially large. In the context of code generation, we propose a solution that cons...