How do you approach the problem of modality imbalance in multimodal AI?

Instruction: Provide a detailed explanation of strategies or methods used to handle scenarios where one modality is more dominant or has more data available than others.

Context: This question assesses the candidate's ability to address the common issue of modality imbalance in multimodal AI systems, which can significantly affect model performance.

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The way I'd approach it in an interview is this: Modality imbalance happens when one modality dominates learning because it is easier to optimize on, more strongly correlated with the label, or simply cleaner than the others. That can make the model look multimodal while...

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