Xiayang Shi

Enhancing Translation Ability of Large Language Models by Leveraging Task-Related Layers

Fine-tuning Large Language Models (LLMs) for machine translation is effective but costly. It also increases the risk of overfitting and catastrophic forgetting, especially when training data is limited. To tackle these challenges, we propose a novel method that involves adjusting task-related layers…