Practical and ethical challenges of large language models in education: A systematic sco** review

L Yan, L Sha, L Zhao, Y Li… - British Journal of …, 2024‏ - Wiley Online Library
Educational technology innovations leveraging large language models (LLMs) have shown
the potential to automate the laborious process of generating and analysing textual content …

[HTML][HTML] Research on Intelligent Grading of Physics Problems Based on Large Language Models

Y Wei, R Zhang, J Zhang, D Qi, W Cui - Education Sciences, 2025‏ - mdpi.com
The automation of educational and instructional assessment plays a crucial role in
enhancing the quality of teaching management. In physics education, calculation problems …

The Open Review-Based (ORB) dataset: Towards Automatic Assessment of Scientific Papers and Experiment Proposals in High-Energy Physics

J Szumega, L Bougueroua, B Gkotse… - arxiv preprint arxiv …, 2023‏ - arxiv.org
With the Open Science approach becoming important for research, the evolution towards
open scientific-paper reviews is making an impact on the scientific community. However …

Manually crafted chinese text corpus for text emotion recognition

B Gao, F Zhang - … Joint Conference on Neural Networks (IJCNN …, 2023‏ - ieeexplore.ieee.org
Aiming at the scarcity of high-quality emotion corpus resources in the current Chinese text
emotion recognition task, we have manually completed the annotation of 35,000 text data in …

[PDF][PDF] TRANSFER LEARNING IN BANKNOTE CLASSIFICATION: A COMPARATIVE ANALYSIS OF FINE-TUNED CNNS ALEXNET, GOOGLENET, AND VGG16 ON …

U Sadyk, R Baimukashev, C Turan - workshops on ACeSYRI 2023‏ - idt.fri.uniza.sk
Transfer learning has become an influential technique in the realm of deep learning,
particularly when faced with the challenge of limited datasets. Within this framework, the …