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This paper presents a new educational framework for integrating generative artificial intelligence (GenAI) platforms such as ChatGPT, Claude, and Gemini into laboratory activities aimed at developing critical thinking and digital literacy…

计算机与社会 · 计算机科学 2025-07-02 Vasiliy Znamenskiy , Rafael Niyazov , Joel Hernandez

Generative AI and Large Language Models (LLMs) hold promise for automating spreadsheet formula creation. However, due to hallucinations, bias and variable user skill, outputs obtained from generative AI cannot be assumed to be accurate or…

人机交互 · 计算机科学 2025-01-20 Simon Thorne

The integration of Large Language Models (LLMs) into social science research presents transformative opportunities for advancing scientific inquiry, particularly in public administration (PA). However, the absence of standardized…

计算机与社会 · 计算机科学 2025-04-03 Michael Overton , Barrie Robison , Lucas Sheneman

Language is a cornerstone of cultural identity, yet globalization and the dominance of major languages have placed nearly 3,000 languages at risk of extinction. Existing AI-driven translation models prioritize efficiency but often fail to…

计算与语言 · 计算机科学 2025-06-10 Mahfuz Ahmed Anik , Abdur Rahman , Azmine Toushik Wasi , Md Manjurul Ahsan

AI Safety is an emerging area of critical importance to the safe adoption and deployment of AI systems. With the rapid proliferation of AI and especially with the recent advancement of Generative AI (or GAI), the technology ecosystem behind…

人工智能 · 计算机科学 2026-05-14 Chen Chen , Xueluan Gong , Ziyao Liu , Weifeng Jiang , Si Qi Goh , Kwok-Yan Lam

Generative Artificial Intelligence (GenAI) constitutes a transformative technological wave that reconfigures industries through its unparalleled capabilities for content creation, reasoning, planning, and multimodal understanding. This…

Large Language Models (LLMs) represent a landmark achievement in Artificial Intelligence (AI), demonstrating unprecedented proficiency in procedural tasks such as text generation, code completion, and conversational coherence. These…

人工智能 · 计算机科学 2025-05-07 Schaun Wheeler , Olivier Jeunen

Generative artificial intelligence (GenAI) can reshape education and learning. While large language models (LLMs) like ChatGPT dominate current educational research, multimodal capabilities, such as text-to-speech and text-to-image, are…

人工智能 · 计算机科学 2025-04-03 Ville Heilala , Roberto Araya , Raija Hämäläinen

The rapid progress of large language models has enabled the generation of text that closely resembles human writing, creating challenges for authenticity verification in education, publishing, and digital security. Detecting AI-generated…

计算与语言 · 计算机科学 2026-01-29 Michał Gromadzki , Anna Wróblewska , Agnieszka Kaliska

In the last decade, despite rapid advancements in artificial intelligence (AI) transforming many industry practices, construction largely lags in adoption. Recently, the emergence and rapid adoption of advanced large language models (LLM)…

人工智能 · 计算机科学 2024-01-19 Prashnna Ghimire , Kyungki Kim , Manoj Acharya

The Generative Education (GenEd) Framework explores the transition from Large Language Models (LLMs) to Large Multimodal Models (LMMs) in education, envisioning a harmonious relationship between AI and educators to enhance learning…

计算机与社会 · 计算机科学 2023-11-23 Daniel Leiker

Large Language Models (LLMs) are becoming increasingly capable across global languages. However, the ability to communicate across languages does not necessarily translate to appropriate cultural representations. A key concern is US-centric…

计算与语言 · 计算机科学 2025-09-03 Jonathan Rystrøm , Hannah Rose Kirk , Scott Hale

Large Language Models (LLMs) have transformed natural language processing (NLP) by enabling robust text generation and understanding. However, their deployment in sensitive domains like healthcare, finance, and legal services raises…

人工智能 · 计算机科学 2024-12-09 Georgios Feretzakis , Vassilios S. Verykios

Large Language Models (LLMs) represent a significant advancement in artificial intelligence, finding applications across various domains. However, their reliance on massive internet-sourced datasets for training brings notable privacy…

With the advance of Artificial Intelligence (AI), Large Language Models (LLMs) have gained prominence and been applied in diverse contexts. As they evolve into more sophisticated versions, it is essential to assess whether they reproduce…

计算与语言 · 计算机科学 2025-08-15 Gustavo Bonil , Simone Hashiguti , Jhessica Silva , João Gondim , Helena Maia , Nádia Silva , Helio Pedrini , Sandra Avila

Generative AI has had a profound impact on biomedicine and health, both in professional work and in education. Based on large language models (LLMs), generative AI has been found to perform as well as humans in simulated situations taking…

人工智能 · 计算机科学 2025-01-20 William Hersh

The rise of Large Language Models (LLMs) such as ChatGPT and Gemini has posed new challenges for the academic community. With the help of these models, students can easily complete their assignments and exams, while educators struggle to…

计算机与社会 · 计算机科学 2024-07-19 Shushanta Pudasaini , Luis Miralles-Pechuán , David Lillis , Marisa Llorens Salvador

With the advent of Large Language Models (LLMs), medical artificial intelligence (AI) has experienced substantial technological progress and paradigm shifts, highlighting the potential of LLMs to streamline healthcare delivery and improve…

计算与语言 · 计算机科学 2024-12-10 Lei Liu , Xiaoyan Yang , Junchi Lei , Yue Shen , Jian Wang , Peng Wei , Zhixuan Chu , Zhan Qin , Kui Ren

Artificial Intelligence (AI) is taking on increasingly autonomous roles, e.g., browsing the web as a research assistant and managing money. But specifying goals and restrictions for AI behavior is difficult. Similar to how parties to a…

计算与语言 · 计算机科学 2023-01-31 John J. Nay

Yes! In the present-day documenting and preserving endangered languages, the application of Large Language Models (LLMs) presents a promising approach. This paper explores how LLMs, particularly through in-context learning, can assist in…

计算与语言 · 计算机科学 2024-12-17 Piyapath T Spencer , Nanthipat Kongborrirak
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