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This work investigates the performance of Large Language Models (LLMs) in generating ABAP code. Despite successful applications of generative AI in many programming languages, there are hardly any systematic analyses of ABAP code generation…

Software Engineering · Computer Science 2026-01-22 Stephan Wallraven , Tim Köhne , Hartmut Westenberger , Andreas Moser

This study investigates the application effectiveness of the Large Language Model (LLMs) ChatGLM in the automated generation of high school information technology exam questions. Through meticulously designed prompt engineering strategies,…

Computers and Society · Computer Science 2024-08-22 Yanxin Chen , Ling He

During Automated Program Repair (APR), it can be challenging to synthesize correct patches for real-world systems in general-purpose programming languages. Recent Large Language Models (LLMs) have been shown to be helpful "copilots" in…

Software Engineering · Computer Science 2023-11-10 Yuxiang Wei , Chunqiu Steven Xia , Lingming Zhang

Large language models (LLMs) such as ChatGPT have gained considerable interest across diverse research communities. Their notable ability for text completion and generation has inaugurated a novel paradigm for language-interfaced problem…

Quantitative Methods · Quantitative Biology 2024-02-22 Hengchuang Yin , Zhonghui Gu , Fanhao Wang , Yiparemu Abuduhaibaier , Yanqiao Zhu , Xinming Tu , Xian-Sheng Hua , Xiao Luo , Yizhou Sun

Gestures perform a variety of communicative functions that powerfully influence human face-to-face interaction. How this communicative function is achieved varies greatly between individuals and depends on the role of the speaker and the…

Human-Computer Interaction · Computer Science 2023-10-24 Laura B. Hensel , Nutchanon Yongsatianchot , Parisa Torshizi , Elena Minucci , Stacy Marsella

LLM models are increasingly used to generate code, but the quality and security of this code are often uncertain. Several recent studies have raised alarm bells, indicating that such AI-generated code may be particularly vulnerable to…

Cryptography and Security · Computer Science 2025-12-05 Kobra Khanmohammadi , Pooria Roy , Raphael Khoury , Abdelwahab Hamou-Lhadj , Wilfried Patrick Konan

This paper presents a comprehensive investigation into the capability of Large Language Models (LLMs) to successfully complete a semester-long undergraduate control systems course. Through evaluation of 115 course deliverables, we assess…

Computers and Society · Computer Science 2025-05-19 Gokul Puthumanaillam , Timothy Bretl , Melkior Ornik

Large Language Models (LLMs) have revo lutionized natural language processing Natural Language Processing (NLP), with Chat Generative Pre-trained Transformer (ChatGPT) standing out as a notable exampledue to its advanced capabilities and…

Computation and Language · Computer Science 2025-03-25 Azim Akhtarshenas , Afshin Dini , Navid Ayoobi

Software testing is a core discipline in software engineering where a large array of research results has been produced, notably in the area of automatic test generation. Because existing approaches produce test cases that either can be…

Software Engineering · Computer Science 2023-10-11 Laura Plein , Wendkûuni C. Ouédraogo , Jacques Klein , Tegawendé F. Bissyandé

Recent development of large language models (LLMs), such as ChatGPT has been widely applied to a wide range of software engineering tasks. Many papers have reported their analysis on the potential advantages and limitations of ChatGPT for…

Software Engineering · Computer Science 2023-09-18 Priyanka Mudgal , Rita Wouhaybi

This study evaluates the effectiveness of various large language models (LLMs) in performing tasks common among undergraduate computer science students. Although a number of research studies in the computing education community have…

Computers and Society · Computer Science 2024-04-04 Vibhor Agarwal , Madhav Krishan Garg , Sahiti Dharmavaram , Dhruv Kumar

Large language models (LLMs) like ChatGPT are increasingly used in academic writing, yet issues such as incorrect or fabricated references raise ethical concerns. Moreover, current content quality evaluations often rely on subjective human…

Computation and Language · Computer Science 2025-09-15 Jing Ren , Weiqi Wang

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,…

Emerging Technologies · Computer Science 2024-04-29 Bruno Pereira Cipriano , Pedro Alves

Large Language Models (LLMs) have demonstrated impressive capabilities in understanding and generating codes. Due to these capabilities, many recent methods are proposed to automatically refine the codes with LLMs. However, we should…

Software Engineering · Computer Science 2024-10-31 Minju Seo , Jinheon Baek , Sung Ju Hwang

This study evaluates the efficiency of code generation by Large Language Models (LLMs) and measures their performance against human-crafted solutions using a dataset from Leetcode. We compare 18 LLMs, considering factors such as model…

Software Engineering · Computer Science 2024-08-01 Tristan Coignion , Clément Quinton , Romain Rouvoy

Artificial Intelligence (AI)-driven code generation tools are increasingly used throughout the software development lifecycle to accelerate coding tasks. However, the security of AI-generated code using Large Language Models (LLMs) remains…

Cryptography and Security · Computer Science 2026-03-10 Mohammed Kharma , Soohyeon Choi , Mohammed AlKhanafseh , David Mohaisen

Executing computer programs described in natural language has long been a pursuit of computer science. With the advent of enhanced natural language understanding capabilities exhibited by large language models (LLMs), the path toward this…

Computation and Language · Computer Science 2024-03-15 Xin Zheng , Qiming Zhu , Hongyu Lin , Yaojie Lu , Xianpei Han , Le Sun

Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation and understanding. Recently, these models have extended their capabilities to coding tasks,…

Machine Learning · Computer Science 2024-10-23 Nishat Raihan , Mohammed Latif Siddiq , Joanna C. S. Santos , Marcos Zampieri

A commit message is a textual description of the code changes in a commit, which is a key part of the Git version control system (VCS). It captures the essence of software updating. Therefore, it can help developers understand code…

Software Engineering · Computer Science 2024-01-17 Linghao Zhang , Jingshu Zhao , Chong Wang , Peng Liang

Empathetic dialogue is an indispensable part of building harmonious social relationships and contributes to the development of a helpful AI. Previous approaches are mainly based on fine small-scale language models. With the advent of…

Computation and Language · Computer Science 2024-07-29 Yushan Qian , Wei-Nan Zhang , Ting Liu