Empirically, the gradual self-training method greatly improves the target domain's accuracy compared

The applications of this intervention are two-fold: first, as a diagnostic tool -- if injection increases the performance, we may conclude that an agent's network was losing its plasticity.

In this work, we aim to address the problem of DP for transfer learning, i.e., how to

However, it is known that even with infinite i.i.d.

To facilitate this procedure, we propose Natural Program, a natural language-based deductive reasoning format. Our approach enables models to generate precise reasoning steps where subsequent steps are more rigorously grounded on prior steps.