Some methods to avoid overfitting in decision trees include pruning techniques such as pre-pruning (e.g., limiting the depth of the tree) and post-pruning (e.g., pruning the tree after it is fully grown and then removing less important nodes), and using ensemble methods such as random forests and boosting.