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Ever since the emergence of large language models (LLMs) and related applications, such as ChatGPT, its performance and error analysis for programming tasks have been subject to research. In this work-in-progress paper, we explore the…

人工智能 · 计算机科学 2023-09-04 Natalie Kiesler , Dominic Lohr , Hieke Keuning

Machine psychology aims to reconstruct the mindset of Large Language Models (LLMs), i.e. how these artificial intelligences perceive and associate ideas. This work introduces PhDGPT, a prompting framework and synthetic dataset that…

人机交互 · 计算机科学 2024-11-19 Edoardo Sebastiano De Duro , Enrique Taietta , Riccardo Improta , Massimo Stella

The advent of AI driven large language models (LLMs) have stirred discussions about their role in qualitative research. Some view these as tools to enrich human understanding, while others perceive them as threats to the core values of the…

软件工程 · 计算机科学 2023-06-26 Muneera Bano , Didar Zowghi , Jon Whittle

In recent years, generative AI has undergone major advancements, demonstrating significant promise in augmenting human productivity. Notably, large language models (LLM), with ChatGPT-4 as an example, have drawn considerable attention.…

人机交互 · 计算机科学 2024-01-23 Sida Peng , Wojciech Swiatek , Allen Gao , Paul Cullivan , Haoge Chang

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…

计算与语言 · 计算机科学 2025-04-22 Joachim Minder , Guillaume Wisniewski , Natalie Kübler

Large Language Models (LLMs) such as ChatGPT demonstrated the potential to replicate human language abilities through technology, ranging from text generation to engaging in conversations. However, it remains controversial to what extent…

计算与语言 · 计算机科学 2025-07-09 Martin Schuele

The growing demand for accessible mental health support, compounded by workforce shortages and logistical barriers, has led to increased interest in utilizing Large Language Models (LLMs) for scalable and real-time assistance. However,…

This paper takes an exploratory approach to examine the use of ChatGPT for pattern mining. It proposes an eight-step collaborative process that combines human insight with AI capabilities to extract patterns from known uses. The paper…

人工智能 · 计算机科学 2024-12-24 Michael Weiss

In our work, we systematize and analyze implicit ontological commitments in the responses generated by large language models (LLMs), focusing on ChatGPT 3.5 as a case study. We investigate how LLMs, despite having no explicit ontology,…

计算与语言 · 计算机科学 2024-05-06 Nele Köhler , Fabian Neuhaus

Preprint repositories become central infrastructures for scholarly communication. Their expansion transforms how research is circulated and evaluated before journal publication. Generative large language models (LLMs) introduce a further…

计算机与社会 · 计算机科学 2025-10-22 Minfeng Qi , Zhongmin Cao , Qin Wang , Ningran Li , Tianqing Zhu

This paper introduces DevGPT, a dataset curated to explore how software developers interact with ChatGPT, a prominent large language model (LLM). The dataset encompasses 29,778 prompts and responses from ChatGPT, including 19,106 code…

软件工程 · 计算机科学 2024-02-15 Tao Xiao , Christoph Treude , Hideaki Hata , Kenichi Matsumoto

Large Language Models (LLMs) that undergo recursive training on synthetically generated data are susceptible to model collapse, a phenomenon marked by the generation of meaningless output. Existing research has examined this issue from…

Generative AI proposes several large language models (LLMs) to automatically generate a message in response to users' requests. Such scientific breakthroughs promote new writing assistants but with some fears. The main focus of this study…

计算与语言 · 计算机科学 2024-11-28 Dominique Labbé , Cyril Labbé , Jacques Savoy

Large Language Models (LLMs) demonstrate increasingly human-like abilities across a wide variety of tasks. In this paper, we investigate whether LLMs like ChatGPT can accurately infer the psychological dispositions of social media users and…

计算与语言 · 计算机科学 2024-06-06 Heinrich Peters , Sandra Matz

Large language models (LLMs) and dialogue agents represent a significant shift in artificial intelligence (AI) research, particularly with the recent release of the GPT family of models. ChatGPT's generative capabilities and versatility…

计算机与社会 · 计算机科学 2024-10-28 Skyler Wang , Ned Cooper , Margaret Eby

Educational materials such as survey articles in specialized fields like computer science traditionally require tremendous expert inputs and are therefore expensive to create and update. Recently, Large Language Models (LLMs) have achieved…

计算与语言 · 计算机科学 2024-05-24 Fan Gao , Hang Jiang , Rui Yang , Qingcheng Zeng , Jinghui Lu , Moritz Blum , Dairui Liu , Tianwei She , Yuang Jiang , Irene Li

Large language models (LLMs) such as ChatGPT have received immense interest for their general-purpose language understanding and, in particular, their ability to generate high-quality text or computer code. For many professions, LLMs…

计算与语言 · 计算机科学 2024-04-03 Simon Frieder , Julius Berner , Philipp Petersen , Thomas Lukasiewicz

In the era of generative AI and specifically large language models (LLMs), exemplified by ChatGPT, the intersection of artificial intelligence and human reasoning has become a focal point of global attention. Unlike conventional search…

计算机与社会 · 计算机科学 2023-11-13 Niina Zuber , Jan Gogoll

Background: Over the past few decades, the process and methodology of automated question generation (AQG) have undergone significant transformations. Recent progress in generative natural language models has opened up new potential in the…

人工智能 · 计算机科学 2024-12-06 Dominic Lohr , Marc Berges , Abhishek Chugh , Michael Kohlhase , Dennis Müller

We extract mathematical concepts from mathematical text using generative large language models (LLMs) like ChatGPT, contributing to the field of automatic term extraction (ATE) and mathematical text processing, and also to the study of LLMs…

计算与语言 · 计算机科学 2023-09-06 Valeria de Paiva , Qiyue Gao , Pavel Kovalev , Lawrence S. Moss