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相关论文: When Qualitative Research Meets Large Language Mod…

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The use of large language models like ChatGPT in code review offers promising efficiency gains but also raises concerns about correctness and safety. Existing evaluation methods for code review generation either rely on automatic…

软件工程 · 计算机科学 2025-12-18 Robert Heumüller , Frank Ortmeier

Assessing communication and collaboration at scale depends on a labor-intensive task of coding communication data into categories according to different frameworks. Prior research has established that ChatGPT can be directly instructed with…

计算与语言 · 计算机科学 2026-05-19 Jiangang Hao , Wenju Cui , Patrick Kyllonen , Emily Kerzabi

The application of Artificial intelligence for teaching and learning in the academic sphere is a trending subject of interest in the computing education. ChatGPT, as an AI-based tool, provides various advantages, such as heightened student…

计算机与社会 · 计算机科学 2024-01-18 Basit Qureshi

Sample size calculations for power analysis are critical for clinical research and trial design, yet their complexity and reliance on statistical expertise create barriers for many researchers. We introduce PowerGPT, an AI-powered system…

Although large language models (LLMs) have achieved excellent performance in a variety of evaluation benchmarks, they still struggle in complex reasoning tasks which require specific knowledge and multi-hop reasoning. To improve the…

计算与语言 · 计算机科学 2023-11-07 Zhipeng Chen , Kun Zhou , Beichen Zhang , Zheng Gong , Wayne Xin Zhao , Ji-Rong Wen

The increasing demand for programming language education and growing class sizes require immediate and personalized feedback. However, traditional code review methods have limitations in providing this level of feedback. As the capabilities…

软件工程 · 计算机科学 2025-06-23 Lee Dong-Kyu

The increasing volume of research paper submissions poses a significant challenge to the traditional academic peer-review system, leading to an overwhelming workload for reviewers. This study explores the potential of integrating Large…

人工智能 · 计算机科学 2024-12-03 Oscar Díaz , Xabier Garmendia , Juanan Pereira

With the recent undeniable advancement in reasoning abilities in large language models (LLMs) like ChatGPT and GPT-4, there is a growing trend for using LLMs on various tasks. One area where LLMs can be employed is as an alternative…

计算与语言 · 计算机科学 2023-10-23 Chenhui Shen , Liying Cheng , Xuan-Phi Nguyen , Yang You , Lidong Bing

Evaluating the capabilities of Large Language Models (LLMs) to assist teachers and students in educational tasks is receiving increasing attention. In this paper, we assess ChatGPT's capacities to solve and grade real programming exams,…

人工智能 · 计算机科学 2025-03-21 Pablo Saborido-Fernández , Marcos Fernández-Pichel , David E. Losada

Large language models (LLMs), such as ChatGPT, have received substantial attention due to their capabilities for understanding and generating human language. While there has been a burgeoning trend in research focusing on the employment of…

Code review is one of the key processes in the software development lifecycle and is essential to maintain code quality. However, manual code review is subjective and time consuming. Given its rule-based nature, code review is well suited…

软件工程 · 计算机科学 2025-07-25 Busra Icoz , Goksel Biricik

ChatGPT is a type of artificial intelligence language model that uses deep learning algorithms to generate human-like responses to text-based prompts. The introduction of the latest ChatGPT version in November of 2022 has caused shockwaves…

计算机与社会 · 计算机科学 2023-05-02 Mohammad Fraiwan , Natheer Khasawneh

Recent advancements in large language models (LLMs) have led to the development of highly potent models like OpenAI's ChatGPT. These models have exhibited exceptional performance in a variety of tasks, such as question answering, essay…

计算与语言 · 计算机科学 2023-04-12 Ruixiang Tang , Xiaotian Han , Xiaoqian Jiang , Xia Hu

Scientific literature is growing exponentially, creating a critical bottleneck for researchers to efficiently synthesize knowledge. While general-purpose Large Language Models (LLMs) show potential in text processing, they often fail to…

计算与语言 · 计算机科学 2025-09-11 Fengyu She , Nan Wang , Hongfei Wu , Ziyi Wan , Jingmian Wang , Chang Wang

Large language models (LLMs), such as ChatGPT, have rapidly penetrated into people's work and daily lives over the past few years, due to their extraordinary conversational skills and intelligence. ChatGPT has become the fastest-growing…

计算与语言 · 计算机科学 2024-09-04 Wenxuan Wang

Large language models (LLMs) have recently become a popular topic in the field of Artificial Intelligence (AI) research, with companies such as Google, Amazon, Facebook, Amazon, Tesla, and Apple (GAFA) investing heavily in their…

General large language models (LLMs), represented by ChatGPT, have demonstrated significant potential in tasks such as code generation in software engineering. This has led to the development of specialized LLMs for software engineering,…

软件工程 · 计算机科学 2024-01-09 Zibin Zheng , Kaiwen Ning , Yanlin Wang , Jingwen Zhang , Dewu Zheng , Mingxi Ye , Jiachi Chen

Artificial Intelligence has demonstrated its significance in software engineering through notable improvements in productivity, accuracy, collaboration, and learning outcomes. This study examines the impact of generative AI tools,…

软件工程 · 计算机科学 2024-02-23 Muhammad Waseem , Teerath Das , Aakash Ahmad , Peng Liang , Mahdi Fehmideh , Tommi Mikkonen

In the short period since the release of ChatGPT, large language models (LLMs) have changed the software engineering research landscape. While there are numerous opportunities to use LLMs for supporting research or software engineering…

软件工程 · 计算机科学 2025-02-05 Stefan Wagner , Marvin Muñoz Barón , Davide Falessi , Sebastian Baltes

Developing high-performing dialogue systems benefits from the automatic identification of undesirable behaviors in system responses. However, detecting such behaviors remains challenging, as it draws on a breadth of general knowledge and…

计算与语言 · 计算机科学 2023-09-14 Sarah E. Finch , Ellie S. Paek , Jinho D. Choi