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Beyond Perturbation Magnitude: Direction-Dependent Responses in Multimodal Geometric Representations

Yongsheng Luo et al.
arXiv CS · Papers
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machine-learningneural-networks
Geometric alignment scores based on Gram determinants provide a compact way to model higher-order consistency among modalities, yet how such scores respond to modality degradation is poorly understood. This paper asks whether the response of a multimodal geometric score is determined primarily by th
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