One potential limitation of the ES-SDE strategy is its reliance on empirical evidence from specific experiments and tasks, which may not generalize well to all scenarios. Future research could address this limitation by conducting a broader range of experiments across different tasks and models to validate the effectiveness of ES-SDE in various contexts. Additionally, the ES-SDE strategy may not be optimal for all tasks, and further investigation into the mechanisms of SDE could help identify more effective strategies for different applications. Another drawback could be the complexity of combining different SDE options, which may require more efficient frameworks for evaluation and validation. Future research could focus on developing streamlined processes for selecting and integrating SDE options to optimize LLM performance in downstream tasks.