#orthogonal-constraints News & Analysis

2 articles tagged with #orthogonal-constraints. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · Jun 236/10

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Orthogonal Representation Editing: Decoupling Semantic Entanglement in Batch Knowledge Editing of LLMs

Researchers propose Orthogonal Representation Editing (ORE), a novel method for efficiently updating factual knowledge in Large Language Models without full retraining. The technique addresses a critical limitation in batch knowledge editing by decoupling semantic representation entanglement through orthogonal constraints, demonstrating superior performance including cross-lingual capabilities.

AIBullisharXiv – CS AI · Apr 146/10

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Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition

Researchers introduce Modular Delta Merging with Orthogonal Constraints (MDM-OC), a machine learning framework that enables multiple fine-tuned models to be merged, updated, and selectively removed without performance degradation or task interference. The approach uses orthogonal projections to prevent model conflicts and supports compliance requirements like GDPR-mandated data deletion.