A hierarchical cross-modal fusion architecture with LoRA adapters predicts human perception of AI-dubbed clips at PCC > 0.75 after training on 12k Hindi-English examples and human MOS fine-tuning.
An adaptive active learn- ing strategy with parameter-efficient LoRA fine-tuning en- ables scalable training using proxy MOS with limited hu- man annotations
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Can Hierarchical Cross-Modal Fusion Predict Human Perception of AI Dubbed Content?
A hierarchical cross-modal fusion architecture with LoRA adapters predicts human perception of AI-dubbed clips at PCC > 0.75 after training on 12k Hindi-English examples and human MOS fine-tuning.