Before revision: Multi-hop reasoning (i.e., reasoning across two or more documents) at scale is a key step toward NLP models that can exhibit broad world knowledgeby leveraging large collections of documents.
After revision: Multi-hop reasoning (i.e., reasoning across two or more documents) at scale is a key ingredient for NLP models that can exhibit broad world knowledgeby leveraging large collections of documents.