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Research scientists increasingly rely on implementing software to support their research. While previous research has examined the impact of identifier names on program comprehension in traditional programming environments, limited work has…

软件工程 · 计算机科学 2025-07-23 Gunnar Larsen , Carol Wong , Anthony Peruma

Following the widespread adoption of ChatGPT in early 2023, numerous studies reported that large language models (LLMs) can match or even surpass human performance in creative tasks. However, it remains unclear whether LLMs have become more…

计算与语言 · 计算机科学 2025-04-18 Jennifer Haase , Paul H. P. Hanel , Sebastian Pokutta

Large Language Models (LLMs) have shown great potential in solving complex problems in various fields, including oil and gas engineering and other industrial engineering disciplines like factory automation, PLC programming etc. However,…

计算与语言 · 计算机科学 2023-04-28 Oluwatosin Ogundare , Srinath Madasu , Nathanial Wiggins

Along with the development of large language models (LLMs), e.g., ChatGPT, many existing approaches and tools for software security are changing. It is, therefore, essential to understand how security-aware these models are and how these…

计算机与社会 · 计算机科学 2023-09-20 Jingyue Li , Per Håkon Meland , Jakob Svennevik Notland , André Storhaug , Jostein Hjortland Tysse

The recent success of large language models (LLMs) has shown great potential to develop more powerful conversational recommender systems (CRSs), which rely on natural language conversations to satisfy user needs. In this paper, we embark on…

计算与语言 · 计算机科学 2024-06-21 Xiaolei Wang , Xinyu Tang , Wayne Xin Zhao , Jingyuan Wang , Ji-Rong Wen

Large language models (LLMs) have demonstrated significant potential in the realm of natural language understanding and programming code processing tasks. Their capacity to comprehend and generate human-like code has spurred research into…

Large language models (LLMs) implicitly learn to perform a range of language tasks, including machine translation (MT). Previous studies explore aspects of LLMs' MT capabilities. However, there exist a wide variety of languages for which…

计算与语言 · 计算机科学 2023-09-15 Nathaniel R. Robinson , Perez Ogayo , David R. Mortensen , Graham Neubig

In recent years, Large Language Models (LLMs) like ChatGPT have seen considerable advancements and have been applied in diverse fields. Built on the Transformer architecture, these models are trained on extensive datasets, enabling them to…

Given the rapid ascent of large language models (LLMs), we study the question: (How) can large language models help in reviewing of scientific papers or proposals? We first conduct some pilot studies where we find that (i) GPT-4 outperforms…

计算与语言 · 计算机科学 2023-06-02 Ryan Liu , Nihar B. Shah

ChatGPT is a large language model (LLM) created by OpenAI that has been carefully trained on a large amount of data. It has revolutionized the field of natural language processing (NLP) and has pushed the boundaries of LLM capabilities.…

计算与语言 · 计算机科学 2023-07-18 Salman Mohamadi , Ghulam Mujtaba , Ngan Le , Gianfranco Doretto , Donald A. Adjeroh

The widespread adoption of large language models (LLMs) such as ChatGPT, Gemini, and DeepSeek has significantly changed how people approach tasks in education, professional work, and creative domains. This paper investigates how the…

人机交互 · 计算机科学 2025-08-29 Rizal Khoirul Anam

This research investigates the application of Large Language Models (LLMs) to augment conversational agents in process mining, aiming to tackle its inherent complexity and diverse skill requirements. While LLM advancements present novel…

人工智能 · 计算机科学 2023-07-20 Urszula Jessen , Michal Sroka , Dirk Fahland

In the present study, we provided students an unfiltered access to a state-of-the-art large language model (LLM) chatbot. The chatbot was intentionally designed to mimic proprietary commercial chatbots such as ChatGPT where the chatbot has…

计算机与社会 · 计算机科学 2024-06-10 Arto Hellas , Juho Leinonen , Leo Leppänen

Recently, the flourishing large language models(LLM), especially ChatGPT, have shown exceptional performance in language understanding, reasoning, and interaction, attracting users and researchers from multiple fields and domains. Although…

计算机视觉与模式识别 · 计算机科学 2024-01-18 Haonan Guo , Xin Su , Chen Wu , Bo Du , Liangpei Zhang , Deren Li

Background: Large Language Models (LLMs) are transforming artificial intelligence applications in healthcare due to their ability to understand, generate, and summarize complex medical text. They offer valuable support to clinicians,…

计算与语言 · 计算机科学 2026-04-14 Subin Santhosh , Farwa Abbas , Hussain Ahmad , Claudia Szabo

Recent advancements in Large Language Models (LLMs), such as ChatGPT and LLaMA, have significantly transformed Natural Language Processing (NLP) with their outstanding abilities in text generation, summarization, and classification.…

计算与语言 · 计算机科学 2024-08-12 Md Nazmus Sakib , Md Athikul Islam , Royal Pathak , Md Mashrur Arifin

This paper provides a comprehensive review of the current methods and metrics used to evaluate the performance of Large Language Models (LLMs) in code generation tasks. With the rapid growth in demand for automated software development,…

软件工程 · 计算机科学 2025-03-05 Liguo Chen , Qi Guo , Hongrui Jia , Zhengran Zeng , Xin Wang , Yijiang Xu , Jian Wu , Yidong Wang , Qing Gao , Jindong Wang , Wei Ye , Shikun Zhang

This research article critically examines the potential risks and implications arising from the malicious utilization of large language models(LLM), focusing specifically on ChatGPT and Google's Bard. Although these large language models…

密码学与安全 · 计算机科学 2023-05-25 P. V. Sai Charan , Hrushikesh Chunduri , P. Mohan Anand , Sandeep K Shukla

Large Language Models (LLMs) are transforming programming practices, offering significant capabilities for code generation activities. While researchers have explored the potential of LLMs in various domains, this paper focuses on their use…

软件工程 · 计算机科学 2026-05-04 Deborah Etsenake , Meiyappan Nagappan

Over the last decade, a wide range of training and deployment strategies for Large Language Models (LLMs) have emerged. Among these, the prompting paradigms of Auto-regressive LLMs (AR-LLMs) have catalyzed a significant surge in Artificial…

计算与语言 · 计算机科学 2024-05-20 Xinzhe Li , Ming Liu