Oct 2026· Zenodo (CERN European Organization for Nuclear Research)
Abstract
Dear Technician Education Community, Welcome to Volume 5, Issue 1 of the Journal of Advanced Technological Education (J ATE). This edition of J ATE features many articles themed around artificial intelligence (AI) technologies in technician education. AI has created new research opportunities and has helped prepare academic manuscripts. AI's increased use also raises important questions about originality, transparency, and accountability of academic research and manuscript construction. Our journal welcomes responsible innovation while also maintaining scientific rigor. J ATE and our Editorial Board consider the principles listed below regarding the use of AI in the preparation and evaluation of manuscripts submitted to J ATE: ● Authors are ultimately responsible for every aspect of the manuscript they submit. The use of AI tools does not diminish an author's responsibility for the accuracy of statements, analyses, the originality of ideas, or compliance with ethical and legal standards. Manuscripts must accurately represent the authors' own scholarly contributions. ● Authors should disclose the use of AI when it has made a meaningful contribution to the preparation of a manuscript. Disclosures of AI use promote transparency and allow editors, reviewers, and readers to understand how AI tools were implemented. Routine spelling and grammar checks generally do not require disclosure.
GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...
Xiaotian Zhang, Chun-yan Li, Yi Zong et al.· arXiv.org· 216 citations· ⚡17
This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.
This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...
Masoud Mohseni, Artur Scherer, K. Johnson et al.· arXiv.org· 121 citations· ⚡9
This paper presents a comprehensive overview of the Ultralytics YOLO family, emphasizing architectural evolution, benchmarking, deployment, and emerging directions from YOLOv5 through YOLO27, and examines detection, segmentation, depth, classification, pose, oriented detection, tracking, export, quantization, and deplo...
This work revisits schema linking when using the latest generation of large language models (LLMs) and finds empirically that newer models are adept at utilizing relevant schema elements during generation even in the presence of large numbers of irrelevant ones.
Karime Maamari, Fadhil Abubaker, Daniel Jaroslawicz et al.· arXiv.org· 109 citations· ⚡19
A novel threat is unveiled in which attackers steer the RAG system's response by injecting malicious passages into its knowledge base, enabling the attacker to steer the response without altering the user input or modifying the RAG weights.
Jiaqi Xue, Meng Zheng, Yebowen Hu et al.· arXiv.org· 109 citations· ⚡8
With $2.1 million funding from Google.org, the open-source Public Transit Intelligence Hub will unify public transit monitoring, operations, and passenger communication.
Professor Sherry Turkle’s new book, “Artificial Intimacy,” offers a withering critique of chatbots and the antisocial dynamics she believes they encourage.
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.