A vision-language model can act as its own continuous memory encoder, compressing external multimodal knowledge into eight embeddings that improve reasoning when prepended to the frozen model.
Retrieval-augmented generation for knowledge-intensive nlp tasks
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Towards General Continuous Memory for Vision-Language Models
A vision-language model can act as its own continuous memory encoder, compressing external multimodal knowledge into eight embeddings that improve reasoning when prepended to the frozen model.