14 citations · 16 across the 4 of their papers we have counts for
3 papers · 1 filter
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…