KORE combines knowledge-oriented data augmentations with null-space projections on activation covariance matrices to inject new knowledge into LMMs while preserving prior knowledge.
It consists of 400 distinct image-prompt combinations engineered to test a model’s ability to comply with detailed and nuanced directives
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KORE: Enhancing Knowledge Injection for Large Multimodal Models via Knowledge-Oriented Controls
KORE combines knowledge-oriented data augmentations with null-space projections on activation covariance matrices to inject new knowledge into LMMs while preserving prior knowledge.