Automated Gradient-Driven Parameter Sharing for Low-Resource Multilingual Speech-to-Text Translation

In low-resource multilingual speech-to-text translation, uniform architectural sharing across languages frequently introduces representation conflicts that impede convergence. This work proposes a principled methodology to automatically determine layer-specific sharing patterns by mining training gr