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Xiang-Yu Wu

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#machine learning Preprint Sep 2026

Representation Editing for Multimodal Test-Time Adaptation

Multimodal test-time adaptation (TTA) aims to adapt a pretrained multimodal model online to distribution shift across modalities using unlabeled test data, showing broad potential in real-world applications. However, existing methods primarily focus on adjusting fused features to bridge the source-target gap, lacking e...

Long-Fei Huang, Xiang-Yu Wu, Yang Yang · 0 citations
#machine learning Preprint Sep 2026

Confidence Falls Short: Asymmetric Certainty Gains from Optimization Hinder Multimodal Classification

Multimodal learning (MML) falls into the optimization dilemma due to the modality imbalance phenomenon, leading to suboptimal overall performance in practice. While many attempts primarily focus on balancing the optimization dynamics across modalities to address this issue, we identify a subtle yet critical flaw: optim...

Long-Fei Huang, Xiang-Yu Wu, Yang Yang · 0 citations

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