Code generationMulti-stageLarge Language ModelsPrompt techniqueCurrently, although Large Language Models (LLMs) have shown significant performance in the field of code generation, their effectiveness in handling
LLM4Decompile: Decompiling Binary Code with Large Language Models 摘要 反编译的目的是将编译后的代码恢复为人类可读的源代码,但在名称和结构等细节上遇到了困难。 大型语言模型(大语言模型)显示出编程任务的前景,激励其应用程序进行反编译。 但目前还没有开源的大语言模型可供反编译。 而且,现有的反编译评估系统...
Different from the standalone nl2code task in Table 1, in real-world programming scenarios, we need to consider the code completion capability in the context of the cursor position. Generally, various open-source large language models for code incorporate the Fill in the Middle (FIM) mode durin...
Large Language Models Meet NL2Code: A Survey Bei Chen, Daoguang Zan, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou ACL 2023|June 2023 The task of generating code from a natural language description, or NL2Code, is considered a pressing and significant...
[全网首发中文版]LLM4Decompile: Decompiling Binary Code with Large Language Models,反编译是将已编译的机器代码或字节码转换回高级编程语言的过程。当源代码无法访问时,通常会这样做来分析软件的工作原理Brumley等人(2013);Katz等人(2018);胡赛尼和多兰-加维特(2022)
最后,扩展了代码生成模型的更广泛影响,并讨论了模型的局限性,找到了很大的改进空间。 参考文献 Chen M, Tworek J, Jun H, et al. Evaluating large language models trained on code[J]. arXiv preprint arXiv:2107.03374, 2021. 发布于 2023-04-06 21:33・广东...
This repository provides an overview of all components from the paperOctoPack: Instruction Tuning Code Large Language Models.Link to 5-min videoon the paper presented by Niklas Muennighoff. Overview DataCommitPack4TB of GitHub commits across 350 programming languages ...
Large Language Models Meet NL2Code: A Survey Bei Chen, Daoguang Zan, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou ACL 2023|June 2023 Download BibTex The task of generating code from a natural language description, or NL2Code, is considered a pressing and...
CodeT5+: Open Code Large Language Models for Code Understanding and Generation O网页链接AI解读:本文介绍了一种名为CodeT5+的编码-解码器的大型语言模型,用于代码理解和生成。该模型旨在解决现有代码LLMs在架构和预训练任务方面存在的两个主要限制。为解决这些限制,CodeT5+使用了一种混合预训练目标的方法来缓解预...
OpenAI Codex Software & Engineering Transformers Compute Scaling Language Generative Models Authors Mark Chen,Jerry Tworek,Heewoo Jun,Qiming Yuan,Henrique Pondé,Jared Kaplan,Harri Edwards,Yura Burda,Nicholas Joseph,Greg Brockman,Alex Ray,Raul Puri,Gretchen Krueger,Michael Petrov,Heidy Khlaaf ...