If the hypothesis is correct, the performance of main task would be improved by auxiliary tasks created from synthetical implicit data.
in the experiments of multi-task learning, only natural implicit examples (i.e., imp) data are used for main task training while different combinations of synthetical implicit examples (exp and BLLIP) are used for auxiliary task training.