As is well known, the hard parameter sharing approach can provide representations for all the shared tasks and reduce the probability of overfitting on the main task.
this kind of sharing strategy somewhat weakens the representation framework maintains distinct model parameters for each task, due to the neutralization of knowledge introduced by the auxiliary task.