introduce noise into history predictions in training to balance the mistmatch, while we try to make the history predictions in testing as accurate as those in training by using of two directional models.
theirs focuses on this problem from the view of training instead of both modeling and training as ours, but it is possible and promising to apply their approach to optimize our joint model.