Abstract: Current methods for detecting deep fakes concentrate on specific patterns of forgery like noise characteristics, local textures, or frequency statistics. These approaches assume training and ...
We note that our work focuses on architectural comparisons rather than competing with recent SLM developments (e.g., SmolLM, MobileLLM). Our analysis isolates the fundamental advantages of ...
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