بعد أكاديمية كاوست
Lama graduated from the University of Hail in June 2026 with a bachelor's degree in Artificial Intelligence and first-class honors. The graduation project was on early detection of diabetic retinopathy with AI. Lama also completed an Aramco internship in January 2026 and the KAUST Academy AI Specialization.
المشروع الصيفي
تخصص الذكاء الاصطناعي · دفعة 2026
When Should an LLM Listen to Another LLM? Predicting Beneficial Critique Acceptance in Multi-LLM Collaboration
This project investigates when one Large Language Model (LLM) should trust the critique of another LLM. Using GSM8K mathematical reasoning problems, we developed a Solver–Critic framework with Qwen2.5-3B-Instruct and Llama-3.2-3B-Instruct operating in both directions. The Critic first solves each problem independently, then evaluates the Solver’s final answer, and revision is triggered only when disagreement occurs. We extract only pre-revision features and train a lightweight logistic regression classifier to predict whether accepting a revision is likely to improve the answer. Our experiments show that critique is not always beneficial and that the Solver–Critic direction is a stronger and more consistent predictor of beneficial revision than the critique-content features examined. The project provides a reproducible framework for selective critique acceptance in multi-LLM collaboration.
مع أكاديمية كاوست
- دفعة 2026
جامعة الملك خالد · المدرسة الصيفية للذكاء الاصطناعي
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