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This paper explores the use of Large Language Models (LLMs) and in particular ChatGPT in programming, source code analysis, and code generation. LLMs and ChatGPT are built using machine learning and artificial intelligence techniques, and…

Software Engineering · Computer Science 2023-06-12 Ahmed R. Sadik , Antonello Ceravola , Frank Joublin , Jibesh Patra

Large-scale language models (LLMs) have emerged as a groundbreaking innovation in the realm of question-answering and conversational agents. These models, leveraging different deep learning architectures such as Transformers, are trained on…

Software Engineering · Computer Science 2023-07-18 Fardin Ahsan Sakib , Saadat Hasan Khan , A. H. M. Rezaul Karim

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…

Software Engineering · Computer Science 2024-08-02 M. Mehdi Kholoosi , M. Ali Babar , Roland Croft

With the increase in software vulnerabilities that cause significant economic and social losses, automatic vulnerability detection has become essential in software development and maintenance. Recently, large language models (LLMs) like GPT…

Software Engineering · Computer Science 2024-04-15 Chenyuan Zhang , Hao Liu , Jiutian Zeng , Kejing Yang , Yuhong Li , Hui Li

The recent popularity of large language models (LLMs) has brought a significant impact to boundless fields, particularly through their open-ended ecosystem such as the APIs, open-sourced models, and plugins. However, with their widespread…

Machine Learning · Computer Science 2023-08-31 Wentao Ye , Mingfeng Ou , Tianyi Li , Yipeng chen , Xuetao Ma , Yifan Yanggong , Sai Wu , Jie Fu , Gang Chen , Haobo Wang , Junbo Zhao

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…

Cryptography and Security · Computer Science 2023-12-12 Fangzhou Wu , Qingzhao Zhang , Ati Priya Bajaj , Tiffany Bao , Ning Zhang , Ruoyu "Fish" Wang , Chaowei Xiao

Grammatical error correction aims to correct ungrammatical sentences automatically. Recently, some work has demonstrated the excellent capabilities of closed-source Large Language Models (LLMs, e.g., ChatGPT) in grammatical error…

Computation and Language · Computer Science 2023-08-21 Yaxin Fan , Feng Jiang , Peifeng Li , Haizhou Li

Programming assistants powered by large language models (LLMs) have become widely available, with conversational assistants like ChatGPT particularly accessible to novice programmers. However, varied tool capabilities and inconsistent…

Human-Computer Interaction · Computer Science 2026-03-02 Gabrielle O'Brien , Antonio Pedro Santos Alves , Sebastian Baltes , Grischa Liebel , Mircea Lungu , Marcos Kalinowski

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…

Software Engineering · Computer Science 2023-10-03 Yonghao Wu , Zheng Li , Jie M. Zhang , Mike Papadakis , Mark Harman , Yong Liu

Software libraries play a critical role in the functionality, efficiency, and maintainability of software systems. As developers increasingly rely on Large Language Models (LLMs) to streamline their coding processes, the effectiveness of…

Software Engineering · Computer Science 2024-08-23 Jasmine Latendresse , SayedHassan Khatoonabadi , Ahmad Abdellatif , Emad Shihab

This paper presents prompt design techniques for software engineering, in the form of patterns, to solve common problems when using large language models (LLMs), such as ChatGPT to automate common software engineering activities, such as…

Software Engineering · Computer Science 2023-03-15 Jules White , Sam Hays , Quchen Fu , Jesse Spencer-Smith , Douglas C. Schmidt

This study investigates the capabilities of large language models (LLMs), specifically ChatGPT, in annotating MT outputs based on an error typology. In contrast to previous work focusing mainly on general language, we explore ChatGPT's…

Computation and Language · Computer Science 2025-04-22 Joachim Minder , Guillaume Wisniewski , Natalie Kübler

Scientific workflow systems are increasingly popular for expressing and executing complex data analysis pipelines over large datasets, as they offer reproducibility, dependability, and scalability of analyses by automatic parallelization on…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-07-09 Mario Sänger , Ninon De Mecquenem , Katarzyna Ewa Lewińska , Vasilis Bountris , Fabian Lehmann , Ulf Leser , Thomas Kosch

Large Language Model (LLM) assistants, such as ChatGPT, have emerged as potential alternatives to search methods for helping users navigate complex, feature-rich software. LLMs use vast training data from domain-specific texts, software…

Human-Computer Interaction · Computer Science 2024-02-14 Anjali Khurana , Hari Subramonyam , Parmit K Chilana

Large Language Models (LLMs) have gained significant attention in the software engineering community. Nowadays developers have the possibility to exploit these models through industrial-grade tools providing a handy interface toward LLMs,…

Software Engineering · Computer Science 2024-02-27 Rosalia Tufano , Antonio Mastropaolo , Federica Pepe , Ozren Dabić , Massimiliano Di Penta , Gabriele Bavota

Large Language Models (LLMs) are frequently discussed in academia and the general public as support tools for virtually any use case that relies on the production of text, including software engineering. Currently there is much debate, but…

Software Engineering · Computer Science 2024-05-22 Ranim Khojah , Mazen Mohamad , Philipp Leitner , Francisco Gomes de Oliveira Neto

Code reviews are an integral part of software development and have been recognized as a crucial practice for minimizing bugs and favouring higher code quality. They serve as an important checkpoint before committing code and play an…

Software Engineering · Computer Science 2024-12-05 Genevieve Caumartin , Qiaolin Qin , Sharon Chatragadda , Janmitsinh Panjrolia , Heng Li , Diego Elias Costa

Recent advancements in Large Language Models (LLMs) have demonstrated significant potential across a wide range of software engineering tasks, including software design, an area traditionally regarded as highly dependent on human expertise…

Software Engineering · Computer Science 2026-05-05 Yifei Wang , Ruiyin Li , Peng Liang , Yangxiao Cai , Zengyang Li , Mojtaba Shahin , Arif Ali Khan , Qiong Feng

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…

Computation and Language · Computer Science 2023-07-07 Md Tahmid Rahman Laskar , M Saiful Bari , Mizanur Rahman , Md Amran Hossen Bhuiyan , Shafiq Joty , Jimmy Xiangji Huang

Program synthesis has been long studied with recent approaches focused on directly using the power of Large Language Models (LLMs) to generate code. Programming benchmarks, with curated synthesis problems and test-cases, are used to measure…

Software Engineering · Computer Science 2023-11-01 Jiawei Liu , Chunqiu Steven Xia , Yuyao Wang , Lingming Zhang
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