Artificial intelligence for geoscience: Progress, challenges and perspectives

T Zhao, S Wang, C Ouyang, M Chen, C Liu, J Zhang… - The Innovation, 2024 - cell.com
This paper explores the evolution of geoscientific inquiry, tracing the progression from
traditional physics-based models to modern data-driven approaches facilitated by significant …

[HTML][HTML] A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions

The explosion of data volume in the digital age has completely changed the corporate and
industrial environments. In-depth analysis of large datasets to support strategic decision …

A comprehensive survey of artificial intelligence techniques for talent analytics

C Qin, L Zhang, Y Cheng, R Zha, D Shen… - arXiv preprint arXiv …, 2023 - arxiv.org
In today's competitive and fast-evolving business environment, it is a critical time for
organizations to rethink how to make talent-related decisions in a quantitative manner …

[PDF][PDF] Comparative evaluation of commercial large language models on promptbench: An english and chinese perspective

S Wang, Q Ouyang, B Wang - 2024 - scholar.archive.org
This study embarks on an exploration of the performance disparities observed between
English and Chinese in large language models (LLMs), motivated by the growing need for …

ChatGPT promises and challenges in education: Computational and ethical perspectives

A Adel, A Ahsan, C Davison - Education Sciences, 2024 - search.proquest.com
This paper investigates the integration of ChatGPT into educational environments, focusing
on its potential to enhance personalized learning and the ethical concerns it raises. Through …

Privacy preservation in Artificial Intelligence and Extended Reality (AI-XR) metaverses: A survey

M Alkaeed, A Qayyum, J Qadir - Journal of Network and Computer …, 2024 - Elsevier
The metaverse is a nascent concept that envisions a virtual universe, a collaborative space
where individuals can interact, create, and participate in a wide range of activities. Privacy in …

Leveraging large language models for integrated satellite-aerial-terrestrial networks: recent advances and future directions

S Javaid, RA Khalil, N Saeed, B He… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
Integrated satellite, aerial, and terrestrial networks (ISATNs) represent a sophisticated
convergence of diverse communication technologies to ensure seamless connectivity …

[HTML][HTML] Using multimodal large language models (mllms) for automated detection of traffic safety-critical events

M Abu Tami, HI Ashqar, M Elhenawy, S Glaser… - Vehicles, 2024 - mdpi.com
Traditional approaches to safety event analysis in autonomous systems have relied on
complex machine and deep learning models and extensive datasets for high accuracy and …

The future of learning in the age of generative ai: Automated question generation and assessment with large language models

S Maity, A Deroy - arXiv preprint arXiv:2410.09576, 2024 - arxiv.org
In recent years, large language models (LLMs) and generative AI have revolutionized
natural language processing (NLP), offering unprecedented capabilities in education. This …

Large language models in biomedicine and health: current research landscape and future directions

Z Lu, Y Peng, T Cohen, M Ghassemi… - Journal of the …, 2024 - academic.oup.com
Large language models (LLMs) are a specialized type of generative artificial intelligence (AI)
focused on generating natural language text. These models are developed through …