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#machine learning Preprint Sep 2026

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

Multimodal Sentiment Analysis (MSA) aims to infer human emotions from multiple modalities such as text, audio, and vision. In practice, inputs are often corrupted by noise and missing modalities, which degrades performance. Existing methods typically address these challenges in isolation, limiting their effectiveness i...

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 reexamining human ratings, we uncover a previously overlooked phenomenon: the two dimensions are i...

Baoliang Chen, Qing Lin, Sijie Mai · 0 citations

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