3 papers
cs.LG2025
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…
cs.CL2025
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…
cs.AI2025
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…