A multimodal LLM with a learnable alignment projector and a combined cross-entropy and mean-squared-error loss reports state-of-the-art scores on several vision-language benchmarks using only 144 visual tokens.
Flamingo: a visual language model for few-shot learning
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MAGE: Multimodal Alignment and Generation Enhancement via Bridging Visual and Semantic Spaces
A multimodal LLM with a learnable alignment projector and a combined cross-entropy and mean-squared-error loss reports state-of-the-art scores on several vision-language benchmarks using only 144 visual tokens.