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#machine learning Preprint Sep 2026

Reliability-aware Cross-sample Enhancement for Robust Multimodal Sentiment Analysis

This work introduces an adaptive variational information bottleneck to model modality-wise uncertainty and perform quality-aware information compression, thereby suppressing redundant noise in unreliable modalities and designs a reliability-aware cross-sample enhancement strategy that retrieves high-confidence, semanti...

Meng-Hua Jiang, Hao-Kai Gao, Xian-Gui Kang et al. · 0 citations
Open access Aug 2026

Bridging Adversarial and Collaborative Learning for AI-Generated Image Quality Assessment

AI-generated image quality assessment (AIGIQA) requires jointly reasoning about perceptual fidelity and prompt alignment, two quality dimensions that are often treated as independent in existing AIGIQA models. However, by re-examining human ratings, we uncover a previously overlooked phenomenon: the two dimensions are...

Bao-Liang Chen, Qing Lin, Si-Jie Mai · 0 citations

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