1 citations · 1 across the 4 of their papers we have counts for
5 papers
Bulbul: A Dataset for Dialectal Arabic Speech Recognition
Ahmed Ashraf, Aisha Alansari, Fadel Al Abbas +30
Arabic automatic speech recognition (ASR) faces unique challenges due to diglossia, extensive regional dialect variation, and limited speech resources. Existing speech datasets oft…
Peering Inside the Black Box: Uncovering LLM Errors in Optimization Modelling through Component-Level Evaluation
Dania Refai, Moataz Ahmed
Large language models (LLMs) are increasingly used to convert natural language descriptions into mathematical optimization formulations. Current evaluations often treat formulation…
From Human Annotation to Automation: LLM-in-the-Loop Active Learning for Arabic Sentiment Analysis
Dania Refai, Alaa Dalaq, Doaa Dalaq +1
Natural language processing (NLP), particularly sentiment analysis, plays a vital role in areas like marketing, customer service, and social media monitoring by providing insights…
Teaching LLMs to Think Mathematically: A Critical Study of Decision-Making via Optimization
Mohammad J. Abdel-Rahman, Yasmeen Alslman, Dania Refai +3
This paper investigates the capabilities of large language models (LLMs) in formulating and solving decision-making problems using mathematical programming. We first conduct a syst…
Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text Classification
Dania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman
The performance of learning models heavily relies on the availability and adequacy of training data. To address the dataset adequacy issue, researchers have extensively explored da…