AINeutralarXiv – CS AI · 3h ago6/10
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A Conflict-Aware Penalty and Statistical Loss Framework for Balancing Modalities and Enhancing Stability in Multimodal Sentiment Analysis
Researchers propose a Conflict-aware Penalty and Statistical Loss framework to address gradient norm conflicts in multimodal sentiment analysis, where dominant text modalities suppress weaker acoustic and visual streams. The approach achieves state-of-the-art results on CMU-MOSI benchmarks by balancing modality contributions and stabilizing training dynamics.