| 补充 | Furthermore, Moreover, Additionally, In addition | Furthermore, our method generalizes well to unseen data. |
| 对比 | However, In contrast, Conversely, On the other hand, Nevertheless | However, this approach suffers from high computational cost. |
| 因果 | Therefore, Consequently, As a result, Hence, Thus | Therefore, we adopt a two-stage training strategy. |
| 举例 | For example, For instance, Specifically, In particular | Specifically, we focus on the image classification task. |
| 强调 | Indeed, Notably, Importantly, It is worth noting that | Notably, the improvement is consistent across all datasets. |
| 让步 | Although, Despite, Notwithstanding, While, Even though | Although the model is simple, it achieves competitive results. |
| 总结 | In summary, To summarize, Overall, In conclusion | Overall, the proposed method outperforms existing baselines. |
| 转折 | Yet, Still, Nonetheless, That said | That said, there are several limitations to our approach. |
| 顺序 | First, Second, Finally, Subsequently, Then | First, we preprocess the data. Subsequently, we train the model. |
| 条件 | If, Provided that, Given that, Assuming that | Given that the dataset is imbalanced, we apply oversampling. |