2 papers
cs.AI2026
Detecting Data Contamination in Large Language Models
Juliusz Janicki, Savvas Chamezopoulos, Evangelos Kanoulas +1
Large Language Models (LLMs) utilize large amounts of data for their training, some of which may come from copyrighted sources. Membership Inference Attacks (MIA) aim to detect tho…
cs.LG2024
Article Classification with Graph Neural Networks and Multigraphs
Khang Ly, Yury Kashnitsky, Savvas Chamezopoulos +1
Classifying research output into context-specific label taxonomies is a challenging and relevant downstream task, given the volume of existing and newly published articles. We prop…