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Large Language Models (LLMs) like GPT and Bard are capable of producing code based on textual descriptions, with remarkable efficacy. Such technology will have profound implications for computing education, raising concerns about cheating,…

新兴技术 · 计算机科学 2024-04-29 Bruno Pereira Cipriano , Pedro Alves

Large Language Models (LLMs) have emerged as coding assistants, capable of generating source code from natural language prompts. With the increasing adoption of LLMs in software development, academic research and industry based projects are…

Students in computing education increasingly use large language models (LLMs) such as ChatGPT. Yet, the role of LLMs in supporting cognitively demanding tasks, like deductive program verification, remains poorly understood. This paper…

软件工程 · 计算机科学 2025-09-09 Carolina Carreira , Álvaro Silva , Alexandre Abreu , Alexandra Mendes

Large Language Models (LLMs), such as ChatGPT, have recently been applied to various NLP tasks due to its open-domain generation capabilities. However, there are two issues with applying LLMs to dialogue tasks. 1. During the dialogue…

计算与语言 · 计算机科学 2023-10-06 Siwei Wu , Xiangqing Shen , Rui Xia

The latest large language models (LLMs) such as ChatGPT, exhibit strong capabilities in automated mental health analysis. However, existing relevant studies bear several limitations, including inadequate evaluations, lack of prompting…

计算与语言 · 计算机科学 2024-10-03 Kailai Yang , Shaoxiong Ji , Tianlin Zhang , Qianqian Xie , Ziyan Kuang , Sophia Ananiadou

ChatGPT has drawn considerable attention from both the general public and domain experts with its remarkable text generation capabilities. This has subsequently led to the emergence of diverse applications in the field of biomedicine and…

Large-scale language models (LLMs), such as ChatGPT, are becoming increasingly sophisticated and exhibit human-like capabilities, playing an essential role in assisting humans in a variety of everyday tasks. An important application of AI…

计算机与社会 · 计算机科学 2023-12-07 Yugen Sato , Taisei Nakajima , Tatsuki Kawamoto , Tomohiro Takagi

The use of large language models (LLMs) in natural language processing (NLP) tasks is rapidly increasing, leading to changes in how researchers approach problems in the field. To fully utilize these models' abilities, a better understanding…

计算与语言 · 计算机科学 2023-11-07 Bishal Santra , Sakya Basak , Abhinandan De , Manish Gupta , Pawan Goyal

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 encountering coding…

计算与语言 · 计算机科学 2024-01-30 Li Zhong , Zilong Wang

Large Language Models (LLMs) have shown promise in multiple software engineering tasks including code generation, program repair, code summarisation, and test generation. Fault localisation is instrumental in enabling automated debugging…

软件工程 · 计算机科学 2023-10-03 Yonghao Wu , Zheng Li , Jie M. Zhang , Mike Papadakis , Mark Harman , Yong Liu

ChatGPT has significantly impacted software development practices, providing substantial assistance to developers in a variety of tasks, including coding, testing, and debugging. Despite its widespread adoption, the impact of ChatGPT as an…

软件工程 · 计算机科学 2024-03-18 Huizi Hao , Kazi Amit Hasan , Hong Qin , Marcos Macedo , Yuan Tian , Steven H. H. Ding , Ahmed E. Hassan

Large Language Models (LLMs) have shown potential to enhance software development through automated code generation and refactoring, reducing development time and improving code quality. This study empirically evaluates StarCoder2, an LLM…

软件工程 · 计算机科学 2024-11-05 Jonathan Cordeiro , Shayan Noei , Ying Zou

As large language models (LLMs) like ChatGPT exhibited unprecedented machine intelligence, it also shows great performance in assisting hardware engineers to realize higher-efficiency logic design via natural language interaction. To…

人工智能 · 计算机科学 2025-10-14 Kaiyan Chang , Ying Wang , Haimeng Ren , Mengdi Wang , Shengwen Liang , Yinhe Han , Huawei Li , Xiaowei Li

Prompting foundation models (FMs) like large language models (LLMs) have enabled new AI-powered software features (e.g., text summarization) that previously were only possible by fine-tuning FMs. Now, developers are embedding prompts in…

软件工程 · 计算机科学 2025-07-24 Jenny T. Liang , Chenyang Yang , Agnia Sergeyuk , Travis D. Breaux , Brad A. Myers

Large Language Models (LLMs) such as ChatGPT have transformed how we interact with and understand the capabilities of Artificial Intelligence (AI). However, the intersection of LLMs with the burgeoning field of Quantum Machine Learning…

量子物理 · 物理学 2024-03-15 Yidong Liao , Chris Ferrie

The performance of conversational Large Language Models (LLMs) in general, and of ChatGPT in particular, is currently being evaluated on many different tasks, from logical reasoning or maths to answering questions on a myriad of topics.…

计算与语言 · 计算机科学 2024-10-22 Gonzalo Martínez , José Alberto Hernández , Javier Conde , Pedro Reviriego , Elena Merino

Large language models LLMs like ChatGPT have reached the 100 Mio user barrier in record time and might increasingly enter all areas of our life leading to a diverse set of interactions between those Artificial Intelligence models and…

计算与语言 · 计算机科学 2024-11-25 Johannes Schneider , Steffi Haag , Leona Chandra Kruse

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

Pretrained Large Language Models (LLMs) have achieved remarkable success across diverse domains, with education and research emerging as particularly impactful areas. Among current state-of-the-art LLMs, ChatGPT and DeepSeek exhibit strong…

人工智能 · 计算机科学 2025-12-10 Md Mostafizer Rahman , Ariful Islam Shiplu , Md Faizul Ibne Amin , Yutaka Watanobe , Lu Peng

Code snippet adaptation is a fundamental activity in the software development process. Unlike code generation, code snippet adaptation is not a "free creation", which requires developers to tailor a given code snippet in order to fit…

软件工程 · 计算机科学 2024-11-26 Tanghaoran Zhang , Yue Yu , Xinjun Mao , Shangwen Wang , Kang Yang , Yao Lu , Zhang Zhang , Yuxin Zhao