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Modality-Gated Deep Adapters: Adding a Modality to a Frozen Embedding Model with Exact Preservation
Multimodal embedding models are deployed at scale: retrieval indices, benchmark results, and behavioral audits all depend on the base model's exact outputs. Extending such a model to a new modality with existing parameter-efficient methods silently changes those outputs; LoRA-style adaptation rewrit
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