Deep Pre-Alignment uses a small VLM perceiver instead of ViT to pre-align visual features with LLM text space, yielding 1.9-3.0 point gains on multimodal benchmarks and 32.9% less language forgetting.
CoRR , volume =
4 Pith papers cite this work, alongside 6 external citations. Polarity classification is still indexing.
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