Jesus Lovon-Melgarejo

Can We Guide a Multi-Hop Reasoning Language Model to Incrementally Learn at Each Single-Hop?

Despite the success of state-of-the-art pre-trained language models (PLMs) on a series of multi-hop reasoning tasks, they still suffer from their limited abilities to transfer learning from simple to complex tasks and vice-versa. We argue that one step forward to overcome this limitation is to bette…