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The missing-input handling mechanism refers to a design whereby a multimodal model can still perform forward propagation and produce gradients when the input of a certain modality is unavailable, with common approaches including replacing that modality's embedding with a learnable missing token, zero-filling followed by masked attention to mask invalid positions, or introducing a modality-presence embedding.
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11/2/2026
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