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…
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 complex programming tasks remains limited. This is primarily due to the substantial distance ...
[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)
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...
2.1 Large language models Language models (LM) generatively model the statistical likelihood of a corpus of text [6], implying they can generate text completions using approximate matching between prompt text and text observed during training. This capability makes them very useful for ...
CodeTree: "CodeTree: Agent-guided Tree Search for Code Generation with Large Language Models" [2024-11] [paper] EvoCoder: "LLMs as Continuous Learners: Improving the Reproduction of Defective Code in Software Issues" [2024-11] [paper] AEGIS: "AEGIS: An Agent-based Framework for General...
oflargelanguagemodels(OpenAI,2023;Touvronetal.,2023),whichhavebroughtabout aneweraofcodeintelligence.Thesemodelshavethepotentialtoautomateandstreamline manyaspectsofcoding,frombugdetectiontocodegeneration,therebyenhancingproductivity andreducingthelikelihoodofhumanerror.However,amajorchallengeinthisfieldisthe ...
Dive into the HumanEval dataset and the pass@k metric, revolutionizing the evaluation of Large Language Models in code generation tasks...
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...
Recent breakthroughs in large language modeling have facilitated rigorous exploration of their application in diverse tasks related to tabular data modeling, such as prediction, tabular data synthesis, question answering, and table understanding. Each task presents unique challenges and opportunities. However...