UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy | ScienceToStartup | ScienceToStartup

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"A framework and dataset to improve the reliability of in-context learning for unified multimodal AI, outperforming larger models on understanding tasks."

Multimodal In-context Learning•Score: 7•View PDF ↗

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UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy

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"A framework and dataset to improve the reliability of in-context learning for unified multimodal AI, outperforming larger models on understanding tasks."

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UniICL: Systematizing Unified Multimodal In-context Learning through a Capability-Oriented Taxonomy

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Founder's Pitch

"A framework and dataset to improve the reliability of in-context learning for unified multimodal AI, outperforming larger models on understanding tasks."

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