AINeutralarXiv – CS AI · 6h ago6/10
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Geometric Erasure by Contrastive Velocity Matching in Rectified Flows
Researchers introduce GEM, a concept erasure framework designed for Rectified Flow models that addresses the limitations of existing erasure techniques built for older U-Net diffusion architectures. The method combines trajectory-based unlearning with teacher-guided flow matching to suppress unwanted concepts in generative AI while preserving legitimate generation capabilities.