Before revision:  It outperforms existing approaches across several compositional generalization challenges  , while also being competitive with the state-of-the-art on standard evaluations.
After revision:  It outperforms existing approaches across several compositional generalization challenges on non-synthetic data , while also being competitive with the state-of-the-art on standard evaluations.