Summary
Multimodal Mixture-of-Experts (MoE) models, despite strong performance in vision-language tasks, exhibit a "Seeing but Not Thinking" phenomenon. This means they accurately perceive image content but fail subsequent reasoning, even when solving identical problems presented as pure text. Researchers confirm cross-modal semantic sharing exists, indicating the issue isn't solely a semantic alignment failure.
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