2 papers
cs.CV2026
The Professor: Multi-Teacher Unsupervised Prompt Distillation for Vision-Language Models
Ahmad Algadhi, Ahmed Alzuhair, Omar Alkhulaif +1
Prompt distillation compresses large vision-language models (VLMs) such as CLIP into lightweight student models by matching teacher predictions on unlabeled domain images. PromptKD…
cs.DS2026
Random Proposals: A Softmax-Based Local-Improvement Framework for Maximum Weighted Matching
Ahmed M. Alzuhair, Ahmed Alherz
We propose a randomized local-improvement algorithm for the Maximum Weighted Matching (MWM) problem. Our method introduces a softmax-based biased sampling mechanism that achieves l…