This study presents a novel approach to automatic generation of cultural and contextspecific
science assessments for K-12 education using generative AI (GenAI). We first developed a …

Recent advancements in natural language processing have demonstrated the efficacy of pre-
trained language models for various downstream tasks through prompt-based fine-tuning. In …

Fault diagnosis of rotating machinery based on deep learning requires many identical
labeled data to achieve satisfactory results. However, in engineering scenarios, few typical …

Time series self-supervised learning is gaining increasing importance owing to its powerful
representation ability in unlabeled situations. One of the greatest challenges is extracting …

An individual's actions in a particular environment and with specified resources can reveal
their decision-making tendencies and patterns, and by analyzing the variations in cognitive …

İstem mühendisliği, büyük dil modellerinin yeteneklerini artırmak için kritik bir teknik olarak
ortaya çıkmıştır. İstem adı verilen talimatlar ile model parametrelerini değiştirmeden ince …

Semantics has long been a primary focus for Natural Language Processing (NLP)
researchers and practitioners, who aim to analyze and develop new forms of human speech …

This research addresses a critical gap in the literature by investigating the impact of prompt
engineering on generating high-quality learning materials for EFL students using the …