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This article introduces and substantiates the concept of Neuro-Linguistic Integration (NLI), a novel paradigm for human-technology interaction where Large Language Models (LLMs) act as a key semantic interface between raw neural data and…

神经与进化计算 · 计算机科学 2026-03-19 Alexander V. Shenderuk-Zhidkov , Alexander E. Hramov

This paper investigates the impacts of the rapidly evolving landscape of generative Artificial Intelligence (AI) development. Emphasis is given to how organizations grapple with a critical imperative: reevaluating their policies regarding…

计算机与社会 · 计算机科学 2025-01-22 Lakshika Vaishnav , Sakshi Singh , Kimberly A. Cornell

Generative AI models perturb the foundations of effective human communication. They present new challenges to contextual confidence, disrupting participants' ability to identify the authentic context of communication and their ability to…

人工智能 · 计算机科学 2024-01-26 Shrey Jain , Zoë Hitzig , Pamela Mishkin

Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contribution to technology can come from multiple approaches that…

Large language models (LLMs) represent a major advance in artificial intelligence (AI) research. However, the widespread use of LLMs is also coupled with significant ethical and social challenges. Previous research has pointed towards…

计算与语言 · 计算机科学 2023-06-28 Jakob Mökander , Jonas Schuett , Hannah Rose Kirk , Luciano Floridi

Large Language Models (LLMs), typified by OpenAI's GPT, have marked a significant advancement in artificial intelligence. Trained on vast amounts of text data, LLMs are capable of understanding and generating human-like text across a…

人工智能 · 计算机科学 2024-10-29 Haochen Zhang , Yuyang Dong , Chuan Xiao , Masafumi Oyamada

We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs) capable of generating high-quality text. While these LLMs have revolutionized text generation across various domains, they also pose significant risks…

计算与语言 · 计算机科学 2024-03-05 Tharindu Kumarage , Garima Agrawal , Paras Sheth , Raha Moraffah , Aman Chadha , Joshua Garland , Huan Liu

The design of Large Language Models and generative artificial intelligence has been shown to be "unfair" to less-spoken languages and to deepen the digital language divide. Critical sociolinguistic work has also argued that these…

计算与语言 · 计算机科学 2026-03-31 Verena Platzgummer , John McCrae , Sina Ahmadi

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

This paper presents an in-depth survey on the use of multimodal Generative Artificial Intelligence (GenAI) and autoregressive Large Language Models (LLMs) for human motion understanding and generation, offering insights into emerging…

计算机视觉与模式识别 · 计算机科学 2025-06-05 Muhammad Islam , Tao Huang , Euijoon Ahn , Usman Naseem

Climate change poses an urgent global threat, needing the rapid identification and deployment of innovative solutions. We hypothesise that many of these solutions already exist within scientific literature but remain underutilised. To…

In the era of generative artificial intelligence (AI), the fusion of large language models (LLMs) offers unprecedented opportunities for innovation in the field of modern education. We embark on an exploration of prompted LLMs within the…

计算与语言 · 计算机科学 2024-05-21 Subhankar Maity , Aniket Deroy , Sudeshna Sarkar

Generative AI (GenAI) and large language models in particular, are disrupting Computer Science Education. They are proving increasingly capable at more and more challenges. Some educators argue that they pose a serious threat to computing…

计算机与社会 · 计算机科学 2024-07-15 Brent N. Reeves , James Prather , Paul Denny , Juho Leinonen , Stephen MacNeil , Brett A. Becker , Andrew Luxton-Reilly

Large Language Models (LLMs) and generative AI (GenAI) systems, such as ChatGPT, Claude, Gemini, LLaMA, and Copilot (by OpenAI, Anthropic, Google, Meta, and Microsoft, respectively), are reshaping digital platforms and app ecosystems while…

密码学与安全 · 计算机科学 2025-07-29 Kiarash Ahi

Next-generation Multiple-Input Multiple-Output (MIMO) is expected to be intelligent and scalable. In this paper, we study Large Language Model (LLM)-enabled next-generation MIMO networks. Firstly, we provide an overview of the development,…

网络与互联网体系结构 · 计算机科学 2025-11-11 Zhe Wang , Jiayi Zhang , Hongyang Du , Ruichen Zhang , Dusit Niyato , Bo Ai , Khaled B. Letaief

Large Language Models (LLMs) are transforming mental health care by enhancing accessibility, personalization, and efficiency in therapeutic interventions. These AI-driven tools empower mental health professionals with real-time support,…

计算机与社会 · 计算机科学 2025-01-22 Hari Mohan Pandey

The rise of generative artificial intelligence (GenAI) is transforming the telecom industry. GenAI models, particularly large language models (LLMs), have emerged as powerful tools capable of driving innovation, improving efficiency, and…

网络与互联网体系结构 · 计算机科学 2024-08-20 Xingqin Lin , Lopamudra Kundu , Chris Dick , Maria Amparo Canaveras Galdon , Janaki Vamaraju , Swastika Dutta , Vinay Raman

The continuing, explosive developments in generative artificial intelligence (GenAI), built on large language models and related algorithms, has led to much excitement and speculation about the potential impact of this new technology.…

计算机与社会 · 计算机科学 2025-03-11 Veda C. Storey , Wei Thoo Yue , J. Leon Zhao , Roman Lukyanenko

As Large Language Models (LLMs) rise in popularity, it is necessary to assess their capability in critically relevant domains. We present a comprehensive evaluation framework, grounded in science communication research, to assess LLM…

[Context] Generative AI technologies, particularly Large Language Models (LLMs), have transformed numerous domains by enhancing convenience and efficiency in information retrieval, content generation, and decision-making processes. However,…

计算机与社会 · 计算机科学 2025-08-25 Yutan Huang , Chetan Arora , Wen Cheng Houng , Tanjila Kanij , Anuradha Madulgalla , John Grundy