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相关论文: IGGA: A Dataset of Industrial Guidelines and Polic…

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This study introduces AGGA, a dataset comprising 80 academic guidelines for the use of Generative AIs (GAIs) and Large Language Models (LLMs) in academic settings, meticulously collected from official university websites. The dataset…

计算与语言 · 计算机科学 2025-03-19 Junfeng Jiao , Saleh Afroogh , Kevin Chen , David Atkinson , Amit Dhurandhar

The rise of Generative AI (GAI) and Large Language Models (LLMs) has transformed industrial landscapes, offering unprecedented opportunities for efficiency and innovation while raising critical ethical, regulatory, and operational…

计算机与社会 · 计算机科学 2026-03-11 Junfeng Jiao , Saleh Afroogh , Kevin Chen , David Atkinson , Amit Dhurandhar

Generative AI models have shown impressive performance on many Natural Language Processing tasks such as language understanding, reasoning, and language generation. An important question being asked by the AI community today is about the…

After the release of several widely adopted artificial intelligence (AI) literacy guidelines by 2021, the unprecedented rise of generative AI since 2023 has transformed the way we work and acquire information worldwide. Unlike traditional…

人机交互 · 计算机科学 2025-10-21 Chengzhi Zhang , Brian Magerko

The advancement of large language models (LLMs) has significantly accelerated the development of search agents capable of autonomously gathering information through multi-turn web interactions. Various benchmarks have been proposed to…

The construction industry is a vital sector of the global economy, but it faces many productivity challenges in various processes, such as design, planning, procurement, inspection, and maintenance. Generative artificial intelligence (AI),…

AI systems are gaining widespread adoption across various sectors and domains. Creating high-quality AI system requirements is crucial for aligning the AI system with business goals and consumer values and for social responsibility.…

软件工程 · 计算机科学 2025-07-17 Asma Yamani , Malak Baslyman , Moataz Ahmed

Natural language generation (NLG) is the key technology to achieve generative artificial intelligence (AI). With the breakthroughs in large language models (LLMs), NLG has been widely used in various medical applications, demonstrating the…

计算与语言 · 计算机科学 2025-05-08 Mengxian Lyu , Xiaohan Li , Ziyi Chen , Jinqian Pan , Cheng Peng , Sankalp Talankar , Yonghui Wu

Generative Artificial Intelligence (AI) holds immense potential in medical applications. Numerous studies have explored the efficacy of various generative AI models within healthcare contexts, but there is a lack of a comprehensive and…

人机交互 · 计算机科学 2023-12-19 Jinghong Chen , Lingxuan Zhu , Weiming Mou , Zaoqu Liu , Quan Cheng , Anqi Lin , Jian Zhang , Peng Luo

With the remarkable success of generative models like ChatGPT, Artificial Intelligence Generated Content (AIGC) is undergoing explosive development. Not limited to text and images, generative models can generate industrial time series data,…

机器学习 · 计算机科学 2025-02-18 Lei Ren , Haiteng Wang , Jinwang Li , Yang Tang , Chunhua Yang

The explorations and applications of Artificial Intelligence (AI) in various domains becomes increasingly vital as it continues to evolve. While much attention has been focused on Large Language Models (LLMs) such as ChatGPT, this research…

计算机与社会 · 计算机科学 2025-02-28 Julius Sechang Mboli , John G. O. Marko , Rose Anazin Yemson

The rapid advancement of large language models (LLMs) has led to increasingly human-like AI-generated text, raising concerns about content authenticity, misinformation, and trustworthiness. Addressing the challenge of reliably detecting…

As large language models (LLMs) rapidly advance, their role in code generation has expanded significantly. While this offers streamlined development, it also creates concerns in areas like education and job interviews. Consequently,…

软件工程 · 计算机科学 2025-07-30 Basak Demirok , Mucahid Kutlu , Selin Mergen

The integration of Generative Artificial Intelligence (GAI) and Large Language Models (LLMs) in academia has spurred a global discourse on their potential pedagogical benefits and ethical considerations. Positive reactions highlight some…

计算机与社会 · 计算机科学 2025-03-19 Junfeng Jiao , Saleh Afroogh , Kevin Chen , David Atkinson , Amit Dhurandhar

Generative AI technologies, particularly Large Language Models (LLMs), have transformed information management systems but introduced substantial biases that can compromise their effectiveness in informing business decision-making. This…

计算机与社会 · 计算机科学 2025-02-18 Xiahua Wei , Naveen Kumar , Han Zhang

The rapid proliferation of generative artificial intelligence (AI) tools - especially large language models (LLMs) such as ChatGPT - has ushered in a transformative era in higher education. Universities in developed regions are increasingly…

人机交互 · 计算机科学 2025-06-30 Russell Beale

Generative AI (GAI) technologies are quickly reshaping the educational landscape. As adoption accelerates, understanding how students and educators perceive these tools is essential. This study presents one of the most comprehensive…

社会与信息网络 · 计算机科学 2026-01-07 Paulina DeVito , Akhil Vallala , Sean Mcmahon , Yaroslav Hinda , Benjamin Thaw , Hanqi Zhuang , Hari Kalva

Recent regulatory initiatives like the European AI Act and relevant voices in the Machine Learning (ML) community stress the need to describe datasets along several key dimensions for trustworthy AI, such as the provenance processes and…

数字图书馆 · 计算机科学 2024-05-27 Joan Giner-Miguelez , Abel Gómez , Jordi Cabot

Large language models (LLMs) are increasingly being utilised across a range of tasks and domains, with a burgeoning interest in their application within the field of journalism. This trend raises concerns due to our limited understanding of…

计算与语言 · 计算机科学 2024-06-18 Filip Trhlik , Pontus Stenetorp

The release of ChatGPT in November 2022 prompted a massive uptake of generative artificial intelligence (GenAI) across higher education institutions (HEIs). HEIs scrambled to respond to its use, especially by students, looking first to…

计算机与社会 · 计算机科学 2024-02-06 Nora McDonald , Aditya Johri , Areej Ali , Aayushi Hingle
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