2 papers
cs.LG2026
Panther: Faster and Cheaper Computations with Randomized Numerical Linear Algebra
Fahd Seddik, Abdulrahman Elbedewy, Gaser Sami +2
Training modern deep learning models is increasingly constrained by GPU memory and compute limits. While Randomized Numerical Linear Algebra (RandNLA) offers proven techniques to c…
cs.SE2025
Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models
Amirreza Esmaeili, Fahd Seddik, Yongyi Ji +2
Programming languages can benefit from one another by utilizing a language model for software engineering tasks. Full fine-tuning and Parameter Efficient Fine-Tuning (PEFT) of Code…