Results 51 to 60 of about 2,466 (175)

Artificial Intelligence on Campus: Revisiting Understanding as an Aim of Higher Education

Educational Theory, Volume 75, Issue 4, Page 603-625, August 2025.
Abstract The launch of the powerful generative AI tool ChatGPT in November 2022 sparked a wave of fear across higher education. The tool could seemingly be used to write essays and do other work without students putting in the effort expected of them. In this paper, Jamie Herman and Henry Lara‐Steidel posit a way of addressing the concerns over ChatGPT
Jamie Herman, Henry Lara‐Steidel
wiley   +1 more source

HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models

, 2023
Controlling the text generated by language models and customizing the content has been a long-standing challenge. Existing prompting techniques proposed in pursuit of providing control are task-specific and lack generality; this provides overwhelming ...
Mishra, Swaroop, Nouri, Elnaz
core  

ChatGPT's Performance Evaluation in Spreadsheets Modelling to Inform Assessments Redesign

Journal of Computer Assisted Learning, Volume 41, Issue 3, June 2025.
ABSTRACT Background Increasingly, students are using ChatGPT to assist them in learning and even completing their assessments, raising concerns of academic integrity and loss of critical thinking skills. Many articles suggested educators redesign assessments that are more ‘Generative‐AI‐resistant’ and to focus on assessing students on higher order ...
Michelle Cheong
wiley   +1 more source

Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Precise modeling of zenith tropospheric delay (ZTD) is essential for real-time high-precision positioning in global navigation satellite systems. Due to the stochastic variability of atmospheric water vapor across different regions, tropospheric delay ...
Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai   +5 more
doaj   +1 more source

Intelligent Grouping Method of Science and Technology Projects Based on Data Augmentation and SMOTE

Applied Artificial Intelligence, 2022
The current evaluation of science and technology projects is mainly completed by peer review, and in the process of evaluation, dividing projects into different groups is a crucial step.
Can Zhou, Mengting Li, Sha Yu
doaj   +1 more source

Knowledge of cultural moral norms in large language models

, 2023
Moral norms vary across cultures. A recent line of work suggests that English large language models contain human-like moral biases, but these studies typically do not examine moral variation in a diverse cultural setting.
Ramezani, Aida, Xu, Yang
core  

Is There a Future for Stochastic Modeling in Business and Industry in the Era of Machine Learning and Artificial Intelligence?

Applied Stochastic Models in Business and Industry, Volume 41, Issue 2, March/April 2025.
ABSTRACT The paper arises from the experience of Applied Stochastic Models in Business and Industry which has seen, over the years, more and more contributions related to Machine Learning rather than to what was intended as a stochastic model. The very notion of a stochastic model (e.g., a Gaussian process or a Dynamic Linear Model) can be subject to ...
Fabrizio Ruggeri, David Banks, William S. Cleveland, Nicholas I. Fisher, Marcos Escobar‐Anel, Paolo Giudici, Emanuela Raffinetti, Roger W. Hoerl, Dennis K. J. Lin, Ron S. Kenett, Wai Keung Li, Philip L. H. Yu, Jean‐Michel Poggi, Marco S. Reis, Gilbert Saporta, Piercesare Secchi, Rituparna Sen, Ansgar Steland, Zhanpan Zhang   +18 more
wiley   +1 more source

Hex2Sign: Automatic IDS Signature Generation from Hexadecimal Data using LLMs [PDF]

Despite the growing utilization of large language models (LLMs) in cyber defense operations, their integration within intrusion detection systems (IDS) remains substantially underexplored. This paper proposes a novel approach to generating human-readable
Ali, Tarek, Balasubramanian, Prasasthy, KhoshKholgh, Danial, Kostakos, Panos, Salmani, Mohammad   +4 more
core   +1 more source

Scaling Laws for Discriminative Classification in Large Language Models

Applied AI Letters, Volume 6, Issue 1, February 2025.
ABSTRACT Modern large language models (LLMs) represent a paradigm shift in what can plausibly be expected of machine learning models. The fact that LLMs can effectively generate sensible answers to a diverse range of queries suggests that they would be useful in customer support applications.
Dean Wyatte, Fatemeh Tahmasbi, Ming Li, Thomas Markovich   +3 more
wiley   +1 more source

Larger Probes Tell a Different Story: Extending Psycholinguistic Datasets Via In-Context Learning

, 2023
Language model probing is often used to test specific capabilities of these models. However, conclusions from such studies may be limited when the probing benchmarks are small and lack statistical power.
Lialin, Vladislav, Rumshisky, Anna, Shivagunde, Namrata   +2 more
core