Dimensions overall score 8.0

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• HORSE reduces noisy gradients in model editing through Hierarchical Orthogonal Residual Spread of the information matrix.technical 90%
• HORSE maintains precise massive editing across diverse scenarios.result 85%
• HORSE achieves state-of-the-art results with the fastest editing speeds compared to existing methods.result 80%
• HORSE causes less impact on original model capabilities while maintaining high specificity in updates.result 80%
• HORSE uses orthogonalization across layers to manage updates instead of blending old and new knowledge.method 85%
• Existing model editing methods can be computationally expensive and may cause conflicts.limitation 75%
• HORSE could eliminate the need to regenerate entire datasets for model updates.market 70%
• HORSE may need more validation across different languages and model architectures.limitation 80%

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