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You are developing an NLP model to analyze sentiment from customer reviews. The model is complex and, while it performs well on training data, it shows poor results on validation data. You want to improve the model's generalizability and reduce overfitting. Considering the model complexity and data characteristics, which of the following methods would be BEST to apply?