EvolveReason: Self-Evolving Reasoning Paradigm for Explainable Deepfake Facial Image Identification

ArXi:2603.07515v1 Announce Type: new With the rapid advancement of AIGC technology, developing identification methods to address the security challenges posed by deepfakes has become urgent. Face forgery identification techniques can be categorized into two types: traditional classification methods and explainable VLM approaches. The former provides classification results but lacks explanatory ability, while the latter, although capable of providing coarse-grained explanations, often suffers from hallucinations and insufficient detail.