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Additionally, our findings indicate that while LVLMs demonstrate a strong capability to perceive image details, enhancing their ability to associate information across multiple images hinges on improving the reasoning capabilities of their language model component.
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Moreover, we explored the ability of LVLMs to perceive image sequences within the context of our multi-image association task. Our experiments indicate that the majority of current LVLMs do not adequately model image sequences during the pre-training process.
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<img src=./imgs/main_result.png width=80% />
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# Evaluateion Codes
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Additionally, our findings indicate that while LVLMs demonstrate a strong capability to perceive image details, enhancing their ability to associate information across multiple images hinges on improving the reasoning capabilities of their language model component.
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Moreover, we explored the ability of LVLMs to perceive image sequences within the context of our multi-image association task. Our experiments indicate that the majority of current LVLMs do not adequately model image sequences during the pre-training process.
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# Evaluateion Codes
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