Before revision:  Rather than relying solely on examples of task inputs and outputs, these approaches allow for valuable additional data to be used in modeling with the purpose of improving model correctness and aligning learned models with human priors.
After revision:  Rather than relying solely on examples of task inputs and outputs, these approaches use valuable additional data to be used in modeling with the purpose of improving model correctness and aligning learned models with human priors.