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The ubiquitous adoption of Large Language Generation Models (LLMs) in programming has underscored the importance of differentiating between human-written code and code generated by intelligent models. This paper specifically aims to…

软件工程 · 计算机科学 2023-07-06 Li Ke , Hong Sheng , Fu Cai , Zhang Yunhe , Liu Ming

Large Language Models (LLM) have become sophisticated enough that complex computer programs can be created through interpretation of plain English sentences and implemented in a variety of modern languages such as Python, Java Script, C++…

软件工程 · 计算机科学 2023-09-04 Simon Thorne

With the increasing adoption of AI-driven tools in software development, large language models (LLMs) have become essential for tasks like code generation, bug fixing, and optimization. Tools like ChatGPT, GitHub Copilot, and Codeium…

In recent years, large language models have been responsible for great advances in the field of artificial intelligence (AI). ChatGPT in particular, an AI chatbot developed and recently released by OpenAI, has taken the field to the next…

密码学与安全 · 计算机科学 2026-04-09 Raphaël Khoury , Anderson R. Avila , Jacob Brunelle , Baba Mamadou Camara

In recent years, the rise of AI-assisted code-generation tools has significantly transformed software development. While code generators have mainly been used to support conventional software development, their use will be extended to…

软件工程 · 计算机科学 2024-12-17 Simon Torka , Sahin Albayrak

Large language models (LLMs) have rapidly transformed the creation of written materials. LLMs have led to questions about writing integrity, thereby driving the creation of artificial intelligence (AI) detection technologies. Adversarial…

计算与语言 · 计算机科学 2025-07-25 Hulayyil Alshammari , Praveen Rao

Large language models (LLMs) providing generative AI have become popular to support software engineers in creating, summarizing, optimizing, and documenting source code. It is still unknown how LLMs can support control engineers using…

软件工程 · 计算机科学 2023-05-26 Heiko Koziolek , Sten Gruener , Virendra Ashiwal

Large Language Models (LLMs) are widely used for code generation. However, commercial models like ChatGPT require significant computing power, which leads to high energy use and carbon emissions. This has raised concerns about their…

软件工程 · 计算机科学 2025-08-13 Humza Ashraf , Syed Muhammad Danish , Aris Leivadeas , Yazan Otoum , Zeeshan Sattar

While recent advancements in the capabilities and widespread accessibility of generative language models, such as ChatGPT (OpenAI, 2022), have brought about various benefits by generating fluent human-like text, the task of distinguishing…

计算与语言 · 计算机科学 2023-09-15 Mahdi Dhaini , Wessel Poelman , Ege Erdogan

Large language models (LLMs) such as ChatGPT have shown remarkable capabilities in code generation. Despite significant achievements, they rely on enormous training data to acquire a broad spectrum of open-domain knowledge. Besides, their…

软件工程 · 计算机科学 2025-02-18 Xiaodong Gu , Meng Chen , Yalan Lin , Yuhan Hu , Hongyu Zhang , Chengcheng Wan , Zhao Wei , Yong Xu , Juhong Wang

Large Language Models (LLMs) are transforming AI across industries, but their development and deployment remain complex. This survey reviews 16 key challenges in building and using LLMs and examines how these challenges are addressed by two…

计算与语言 · 计算机科学 2025-09-01 Shubham Sharma , Sneha Tuli , Narendra Badam

General large language models (LLMs) such as ChatGPT have shown remarkable success, but it has also raised concerns among people about the misuse of AI-generated texts. Therefore, an important question is how to detect whether the texts are…

计算与语言 · 计算机科学 2023-10-24 Rongsheng Wang , Qi Li , Sihong Xie

The challenge of formal proof generation has a rich history, but with modern techniques, we may finally be at the stage of making actual progress in real-life mathematical problems. This paper explores the integration of ChatGPT and basic…

计算机科学中的逻辑 · 计算机科学 2025-02-20 Sangjun Han , Taeil Hur , Youngmi Hur , Kathy Sangkyung Lee , Myungyoon Lee , Hyojae Lim

The rapid adoption of large language models (LLMs) like ChatGPT has introduced new dynamics in software development, particularly within pull request workflows. While prior research has examined the quality of AI-generated code, less is…

软件工程 · 计算机科学 2026-04-07 Daniel Ogenrwot , John Businge

Large language models (LLMs) are increasingly used in software development, generating code that ranges from short snippets to substantial project components. As AI-generated code becomes more common in real-world repositories, it is…

软件工程 · 计算机科学 2026-04-06 Tianhao Mao , Dongfang Zhao , Haixu Tang , Xiaofeng Wang , Hang Zhang

ChatGPT is a large language model recently released by the OpenAI company. In this technical report, we explore for the first time the capability of ChatGPT for programming numerical algorithms. Specifically, we examine the capability of…

机器学习 · 计算机科学 2023-04-28 Ali Kashefi , Tapan Mukerji

Large Language Models (LLMs) have become a popular choice for many Natural Language Processing (NLP) tasks due to their versatility and ability to produce high-quality results. Specifically, they are increasingly used for automatic code…

Large language models (LLMs) support data analysis through conversational user interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis or Code Interpreter). Essentially, LLMs produce code for accomplishing…

人机交互 · 计算机科学 2024-08-06 Liwenhan Xie , Chengbo Zheng , Haijun Xia , Huamin Qu , Chen Zhu-Tian

As the quality of code generated by Large Language Models (LLMs) improves, their adoption in the software industry for automated code generation continues to grow. Researchers primarily focus on enhancing the functional correctness of the…

Large language models (LLMs), such as ChatGPT released by OpenAI, have attracted significant attention from both industry and academia due to their demonstrated ability to generate high-quality content for various tasks. Despite the…

软件工程 · 计算机科学 2024-11-08 Xiaodan Xu , Chao Ni , Xinrong Guo , Shaoxuan Liu , Xiaoya Wang , Kui Liu , Xiaohu Yang