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相关论文: Evaluation of the Code Generation Capabilities of …

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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…

Background: The integration of artificial intelligence (AI) into daily life, particularly through chatbots utilizing natural language processing (NLP), presents both revolutionary potential and unique challenges. This intended to…

计算与语言 · 计算机科学 2024-04-16 Gian Alexandre Michaelsen , Renato P. dos Santos

ChatGPT, a large-scale language model based on the advanced GPT-3.5 architecture, has shown remarkable potential in various Natural Language Processing (NLP) tasks. However, there is currently a dearth of comprehensive study exploring its…

计算与语言 · 计算机科学 2023-04-05 Tao Fang , Shu Yang , Kaixin Lan , Derek F. Wong , Jinpeng Hu , Lidia S. Chao , Yue Zhang

Background: AI-powered code generation, fueled by Large Language Models (LLMs), is revolutionizing software development. Models like OpenAI's Codex and GPT-4, alongside DeepSeek, leverage vast code and natural language datasets. However,…

软件工程 · 计算机科学 2025-02-27 Md Motaleb Hossen Manik

Computer programming is a fundamental tool for life scientists, allowing them to carry out many essential research tasks. However, despite a variety of educational efforts, learning to write code can be a challenging endeavor for both…

其他定量生物学 · 定量生物学 2024-01-02 Stephen R. Piccolo , Paul Denny , Andrew Luxton-Reilly , Samuel Payne , Perry G. Ridge

Large Language Models (LLMs) have been gaining increasing attention and demonstrated promising performance across a variety of Software Engineering (SE) tasks, such as Automated Program Repair (APR), code summarization, and code completion.…

软件工程 · 计算机科学 2024-04-18 Quanjun Zhang , Tongke Zhang , Juan Zhai , Chunrong Fang , Bowen Yu , Weisong Sun , Zhenyu Chen

Over the last few years, large language models (LLMs) have emerged as the most important breakthroughs in natural language processing (NLP) that fundamentally transform research and developments in the field. ChatGPT represents one of the…

Large Language Models (LLMs) are advanced Artificial Intelligence (AI) systems that have undergone extensive training using large datasets in order to understand and produce language that closely resembles that of humans. These models have…

软件工程 · 计算机科学 2023-08-10 Alessio Buscemi

Artificial Intelligence (AI) advancements have enabled the development of Large Language Models (LLMs) that can perform a variety of tasks with remarkable semantic understanding and accuracy. ChatGPT is one such LLM that has gained…

软件工程 · 计算机科学 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

Large language models (LLMs) have undergone rapid evolution and achieved remarkable results in recent times. OpenAI's ChatGPT, backed by GPT-3.5 or GPT-4, has gained instant popularity due to its strong capability across a wide range of…

密码学与安全 · 计算机科学 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

Large language models (LLMs) like ChatGPT have shown the potential to assist developers with coding and debugging tasks. However, their role in collaborative issue resolution is underexplored. In this study, we analyzed 1,152…

软件工程 · 计算机科学 2024-12-12 Joy Krishan Das , Saikat Mondal , Chanchal K. Roy

This paper presents a comprehensive performance evaluation of Large Language Models (LLMs) in solving programming challenges from Leetcode, a widely used platform for algorithm practice and technical interviews. We began by crawling the…

软件工程 · 计算机科学 2025-03-04 Lun Wang , Chuanqi Shi , Shaoshui Du , Yiyi Tao , Yixian Shen , Hang Zheng , Yanxin Shen , Xinyu Qiu

The adoption of Large Language Models (LLMs) for code generation in data science offers substantial potential for enhancing tasks such as data manipulation, statistical analysis, and visualization. However, the effectiveness of these models…

The development of large language models (LLMs) such as ChatGPT has brought a lot of attention recently. However, their evaluation in the benchmark academic datasets remains under-explored due to the difficulty of evaluating the generative…

We systematically evaluated the performance of seven large language models in generating programming code using various prompt strategies, programming languages, and task difficulties. GPT-4 substantially outperforms other large language…

软件工程 · 计算机科学 2025-01-22 Wenpin Hou , Zhicheng Ji

Programming students have a widespread access to powerful Generative AI tools like ChatGPT. While this can help understand the learning material and assist with exercises, educators are voicing more and more concerns about an overreliance…

人机交互 · 计算机科学 2025-02-24 Christian Rahe , Walid Maalej

Large language models (LLMs) have demonstrated unparalleled prowess in mimicking human-like text generation and processing. Among the myriad of applications that benefit from LLMs, automated code generation is increasingly promising. The…

软件工程 · 计算机科学 2023-11-15 Lincoln Murr , Morgan Grainger , David Gao

Large Language Models (LLMs), such as GitHub Copilot and ChatGPT have become popular among programming students. Students use LLMs to assist them in programming courses, including generating source code. Previous work has evaluated the…

人工智能 · 计算机科学 2025-04-22 Emir Catir , Robin Claesson , Rodothea Myrsini Tsoupidi

Background: Large language models (LLMs) such as ChatGPT are increasingly used in introductory programming courses to provide real-time code generation, debugging, and explanations. While these tools can boost productivity and code quality,…

软件工程 · 计算机科学 2025-10-02 Shiza Andleeb , Brandon Kantorski , Jeffrey C. Carver

AI-powered education technologies can support students and teachers in computer science education. However, with the recent developments in generative AI, and especially the increasingly emerging popularity of ChatGPT, the effectiveness of…

人工智能 · 计算机科学 2023-12-05 Nora Dunder , Saga Lundborg , Olga Viberg , Jacqueline Wong