Author

Foaad Khosmood

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Preprint Aug 2026

Mitigating Strong-Modality Collapse in Multimodal Learning via Inverted Asymmetric Fusion

This work proposes Inverted Asymmetric Fusion (IAF), which avoids forcing mutual attention across modalities, and shows that IAF preserves the dominant modality's internal accuracy at its unimodal ceiling across all tested configurations.

Mary Ogbuka Kenneth, Foaad Khosmood, Abbas Edalat · 0 citations