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cs.LG2026
Compressing What Matters: Neuron Importance Meets Data-Aware Low Rank Approximation for Language Model Compression
Athanasios Ntovas, Alexandros Doumanoglou, Petros Drakoulis +1
To excel at their domain large language models are comprised of billions of parameters. Yet this comes at the cost of huge memory requirements restricting their applicability in re…
cs.CV2026★ 1 cited
Automated In-the-Wild Data Collection for Continual AI Generated Image Detection
Thanasis Pantsios, Dimitrios Karageorgiou, Christos Koutlis +3
The rapid advancement of generative Artificial Intelligence (AI) has introduced significant challenges for reliable AI-generated image detection. Existing detectors often suffer fr…