由此引出Beam Search为什么不行:如果一个理想的代码生成程序知道了当前生成的程序一定会失败,就应该在早期就停止生成。因此作者使用planning方法,将生成程序的通过率作为目标,确定代码的生成质量。 具体而言:每次transformer要生成一个token的时候,就使用planner作前瞻搜索,找到通过率最高的token。因为token太多了,在planner...
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...
AI code generationmodels are advanced artificial intelligence systems that can automatically generate code based on user prompts or existing codebases. These models leverage machine learning and particularly deep learning algorithms to understand coding patterns, languages, and structures. Their key benefits ...
A Study on Robustness and Reliability of Large Language Model Code Generation Recently, the large language models (LLMs) have shown extraordinary ability in understanding natural language and generating programming code. It has been a common practice of software engineers to consult LLMs when encount...
"The arrival of large language models has broadened the perspectives of what is possible in robot learning and GenSim is an excellent example of a novel application of LLMs that wasn't feasible before," adds Google Deepmind researcher and Stanford adjunct professor Karol Hausman, who is also not...
In recent years, the rapid advances in neural networks for Natural Language Processing (NLP) have led to the development of Large Language Models (LLMs), able to substantially improve the state-of-the-art in many NLP tasks, such as question answering and text summarization. Among them, one ...
Developed by OpenAI, ChatGPT is one of the most recognizable large language models. Google's BERT, Meta’s Llama 2, and Anthropic's Claude 2 are other examples of LLMs. Some of the ways in which large language models are used include content creation, translation, code generation for devel...
Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots 相关链接:arXiv 关键字:Multi-modal LLMs、Code Generation、Benchmark、Visual Coding、matplotlib 摘要 多模态大型语言模型(MLLMs)在视觉领域的卓越进展引起了显著关注。然而,它们将视觉...
Large language models (LLMs) have the potential to transform enterprises in a number of ways. They can be used to automate tasks, improve customer service, generate content, and make better decisions. Here are some of the opportunities that LLMs offer to enterprises: Automation: LLMs can be...
论文:Teaching Large Language Models to Self-Debug 大语言模型的示例 大语言模型在第一回合生成的code都不是非常的perfect 即便是非常简单的问题,也可能会犯错误 示例发现,LLM对于自然语言的理解相对来说是比较好的,生成的function基本能follow任务描述,这里assertion对于function的生成并没有太大的帮助,从function中if...