“In the field of semi-supervised sound event detection, researchers have proposed an efficient semi-supervised class distribution learning method through dynamic prompt tuning, named prompting class distribution optimization (PADO). PADO dynamically incorporates independent learnable prompt tokens to explore prior knowledge about the true distribution, achieving class distribution optimization while maintaining model generalization, leading to a significant improvement in the efficiency of class distribution learning.”