Xuri Ge

Smaller multimodal emotion models can outperform their larger counterparts, achieving state-of-the-art results with significantly improved efficiency.

Stream-aware adaptation can significantly enhance the performance of large multimodal models in sequential recommendation, overcoming traditional limitations of layer degradation.

Massive multimodal models like Qwen and CLIP excel at information retrieval, but their sheer size makes them impractical – this workshop tackles the efficiency gap.