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 uses 2,300 multiple-choice questions to test reasoning capabilities where integrating textual and visual information is essential
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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.