4 papers
YOLOv11 Optimization for Efficient Resource Utilization
Areeg Fahad Rasheed, M. Zarkoosh
The objective of this research is to optimize the eleventh iteration of You Only Look Once (YOLOv11) by developing size-specific modified versions of the architecture. These modifi…
Data Augmentation to Improve Large Language Models in Food Hazard and Product Detection
Areeg Fahad Rasheed, M. Zarkoosh, Shimam Amer Chasib +1
The primary objective of this study is to demonstrate the impact of data augmentation using ChatGPT-4o-mini on food hazard and product analysis. The augmented data is generated usi…
TaskComplexity: A Dataset for Task Complexity Classification with In-Context Learning, FLAN-T5 and GPT-4o Benchmarks
Areeg Fahad Rasheed, M. Zarkoosh, Safa F. Abbas +1
This paper addresses the challenge of classifying and assigning programming tasks to experts, a process that typically requires significant effort, time, and cost. To tackle this i…
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification
Areeg Fahad Rasheed, M. Zarkoosh
Within few-shot learning, in-context learning (ICL) has become a potential method for leveraging contextual information to improve model performance on small amounts of data or in…