To address the degradation of visual-language (VL) representations during VLA supervised fine-tuning (SFT), we introduce Visual Representation Alignment. During SFT, we pull a VLA’s visual tokens ...
Abstract: Speaker recognition in noisy environments remains a challenging issue due to highly variable noise, which hinders convergence to an optimal solution. To address the information discrepancies ...
Abstract: The paper advances belief representation learning in polarized networks – the mapping of social beliefs espoused by users and posts in a polarized network into a disentangled latent space ...
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