Head-wise modality specialization via attention constraints and unimodal knowledge retention in MLLMs improves robustness to missing modalities in fake news detection while preserving full multimodal performance.
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Head-wise Modality Specialization within MLLMs for Robust Fake News Detection under Missing Modality
Head-wise modality specialization via attention constraints and unimodal knowledge retention in MLLMs improves robustness to missing modalities in fake news detection while preserving full multimodal performance.