Tag: machine unlearning
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MAGE: Corpus-Free Unlearning for Large Language Models
Discover MAGE, a memory-graph guided framework enabling corpus-free unlearning in large language models to protect data privacy and maintain performance.
BID-LoRA: Efficient Framework for Continual Learning & Unlearning
Discover BID-LoRA, a parameter-efficient framework enabling precise continual learning and unlearning to enhance AI adaptability and data privacy.
SVD-Based Orthogonal Projection for Continual Machine Unlearning
Discover how SVD-guided orthogonal projection improves continual machine unlearning by preserving model accuracy during sequential data deletion.
RePAIR: User-Controlled Machine Unlearning for LLMs
RePAIR enables interactive machine unlearning in large language models, giving users control to remove harmful data efficiently without retraining.
TRU: Efficient Multimodal Recommendation Unlearning Method
Discover TRU, a targeted reverse update framework enhancing efficiency in multimodal recommendation unlearning with superior retain-forget balance.