2 papers
cs.SE2026
PLMGH: What Matters in PLM-GNN Hybrids for Code Classification and Vulnerability Detection
Mohamed Taoufik Kaouthar El Idrissi, Edward Zulkoski, Mohammad Hamdaqa
Code understanding models increasingly rely on pretrained language models (PLMs) and graph neural networks (GNNs), which capture complementary semantic and structural information.…
cs.CL2026
A theoretical model of dynamical grammatical gender shifting based on set-valued set function
Mohamed El Idrissi
This study investigates the diverse characteristics of nouns, focusing on both semantic (e.g., countable/uncountable) and morphosyntactic (e.g., masculine/feminine) distinctions. W…