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ReToken: One Token to Improve Vision-Language Models for Visual Retrieval
arXiv cs.LG — Machine Learning
Factual evidence
What the source reports
ReToken introduces a single learnable embedding to improve visual retrieval in vision-language models by selecting relevant visual tokens, addressing long visual context challenges.
Open sourceOneBench interpretation
Institutional assessment
So what
Sparse attention for vision-language models extends effective context, reducing inference cost for multimodal reasoning tasks critical to banks.
Do what
Monitor sparse attention developments as a potential control for multimodal model cost and latency.