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CHEETAH: A GROUNDBREAKING MULTIMODAL LLM FOR VISION-LANGUAGE TASKS

Recent models often struggle with complex vision-language tasks due to limitations in understanding mixed image-text context. The I4 benchmark was introduced to evaluate these tasks. Results showed a flaw in the Visual Prompt Generator's attention. To fix this, researchers developed Cheetah, a model with a unique module and training strategy that excels in understanding complex interleaved instructions. Cheetah achieved top performance on the I4 benchmark.

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