Rethinking Token Reduction for Large Vision-Language Models | ScienceToStartup | ScienceToStartup

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"A novel learning-based method to efficiently reduce visual tokens in large vision-language models for multi-turn question answering, improving inference costs without sacrificing accuracy."

Vision-Language Models•Score: 7•View PDF ↗

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Rethinking Token Reduction for Large Vision-Language Models

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"A novel learning-based method to efficiently reduce visual tokens in large vision-language models for multi-turn question answering, improving inference costs without sacrificing accuracy."

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Rethinking Token Reduction for Large Vision-Language Models

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Founder's Pitch

"A novel learning-based method to efficiently reduce visual tokens in large vision-language models for multi-turn question answering, improving inference costs without sacrificing accuracy."

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