2 papers
cs.CV2026
Why Fake ? Unveiling the Semantic Vocabulary of Deepfake Detectors
Vazgken Vanian, Alexandros Doumanoglou, Dimitris Zarpalas
Deepfake (DF) technology poses a significant threat to information integrity, driving the need for robust detection methods. Most DF detectors only consider predicting a binary lab…
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…