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This paper presents a comprehensive survey of ChatGPT-related (GPT-3.5 and GPT-4) research, state-of-the-art large language models (LLM) from the GPT series, and their prospective applications across diverse domains. Indeed, key innovations…

The performance of large language models (LLMs) is significantly influenced by the quality of the prompts provided. In response, researchers have developed enormous prompt engineering strategies aimed at modifying the prompt text to enhance…

Computation and Language · Computer Science 2024-10-23 Zhiyuan He , Huiqiang Jiang , Zilong Wang , Yuqing Yang , Luna Qiu , Lili Qiu

Large Language Models (LLMs) are becoming increasingly competent across various domains, educators are showing a growing interest in integrating these LLMs into the learning process. Especially in software engineering, LLMs have…

Software Engineering · Computer Science 2025-02-04 Agrawal Naman , Ridwan Shariffdeen , Guanlin Wang , Sanka Rasnayaka , Ganesh Neelakanta Iyer

With the growing capabilities of large language models (LLMs), they are increasingly applied in areas like intelligent customer service, code generation, and knowledge management. Natural language (NL) prompts act as the ``APIs'' for…

Software Engineering · Computer Science 2025-08-12 Zhenchang Xing , Yang Liu , Zhuo Cheng , Qing Huang , Dehai Zhao , Daniel Sun , Chenhua Liu

The rise of large language models (LLMs) has given rise to a class of prompt-based interactive systems where users primarily express their input in natural language. However, composing a prompt as a linear text string becomes unwieldy when…

Human-Computer Interaction · Computer Science 2026-04-22 Tengyou Xu , Detao Ma , Xiang 'Anthony' Chen

Large language models (LLMs) have taken the world by storm by making many previously difficult uses of AI feasible. LLMs are controlled via highly expressive textual prompts and return textual answers. Unfortunately, this unstructured text…

Artificial Intelligence · Computer Science 2024-10-28 Mandana Vaziri , Louis Mandel , Claudio Spiess , Martin Hirzel

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 Language Models (LLMs) are increasingly embedded in applications, and people can shape model behavior by editing prompt instructions. Yet encoding subtle, domain-specific policies into prompts is challenging. Although this process…

Human-Computer Interaction · Computer Science 2026-03-26 Minjae Lee , Minsuk Kahng

Large language models (LLMs) have taken the scientific world by storm, changing the landscape of natural language processing and human-computer interaction. These powerful tools can answer complex questions and, surprisingly, perform…

Artificial Intelligence · Computer Science 2023-11-14 Pier Luca Lanzi , Daniele Loiacono

Large Language Models (LLMs) have revolutionized various applications by generating outputs based on given prompts. However, achieving the desired output requires iterative prompt refinement. This paper presents a novel approach that draws…

Machine Learning · Computer Science 2025-01-22 Rupesh Raj Karn

The text generated by large language models is commonly controlled by prompting, where a prompt prepended to a user's query guides the model's output. The prompts used by companies to guide their models are often treated as secrets, to be…

Computation and Language · Computer Science 2024-08-09 Yiming Zhang , Nicholas Carlini , Daphne Ippolito

Recently, there has been considerable attention towards leveraging large language models (LLMs) to enhance decision-making processes. However, aligning the natural language text instructions generated by LLMs with the vectorized operations…

Robotics · Computer Science 2024-02-23 Jinyi Liu , Yifu Yuan , Jianye Hao , Fei Ni , Lingzhi Fu , Yibin Chen , Yan Zheng

Large Language Models (LLMs) are nowadays extensively used for various types of software engineering tasks, primarily code generation. Previous research has shown how suitable prompt engineering could help developers in improving their code…

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

Large language models (LLMs), such as ChatGPT and Copilot, are transforming software development by automating code generation and, arguably, enable rapid prototyping, support education, and boost productivity. Therefore, correctness and…

Software Engineering · Computer Science 2024-08-30 Robin Beer , Alexander Feix , Tim Guttzeit , Tamara Muras , Vincent Müller , Maurice Rauscher , Florian Schäffler , Welf Löwe

Interest in Large Language Models (LLMs) has increased drastically since the emergence of ChatGPT and the outstanding positive societal response to the ease with which it performs tasks in Natural Language Processing (NLP). The triumph of…

Computation and Language · Computer Science 2023-04-06 Oluwatosin Ogundare , Gustavo Quiros Araya

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…

Computation and Language · Computer Science 2024-04-03 Simon Frieder , Julius Berner , Philipp Petersen , Thomas Lukasiewicz

Recently, Large Language Models~(LLMs) such as ChatGPT have showcased remarkable abilities in solving general tasks, demonstrating the potential for applications in recommender systems. To assess how effectively LLMs can be used in…

Information Retrieval · Computer Science 2025-01-17 Lanling Xu , Junjie Zhang , Bingqian Li , Jinpeng Wang , Sheng Chen , Wayne Xin Zhao , Ji-Rong Wen

Large language models (LLMs) offer new opportunities for interacting with complex software artifacts, such as software models, through natural language. They present especially promising benefits for large software models that are difficult…

Software Engineering · Computer Science 2025-06-17 Lukasz Mazur , Nenad Petrovic , James Pontes Miranda , Ansgar Radermacher , Robert Rasche , Alois Knoll

The control of complex laboratory instrumentation often requires significant programming expertise, creating a barrier for researchers lacking computational skills. This work explores the potential of large language models (LLMs), such as…

Artificial Intelligence · Computer Science 2026-04-07 Yong Xie , Kexin He , Andres Castellanos-Gomez