Recently, the emergence of pre-trained models (PTMs) has brought natural language
processing (NLP) to a new era. In this survey, we provide a comprehensive review of PTMs …

There is an increasing interest in develo** artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

Multi-hop Question Answering (QA) is a challenging task because it requires precise
reasoning with entity relations at every step towards the answer. The relations can be …

Although pre-trained models (PLMs) have achieved remarkable improvements in a wide
range of NLP tasks, they are expensive in terms of time and resources. This calls for the …

arxiv:2202.12359v1 [cs.CL] 23 Feb 2022 Page 1 UNIFIEDQA-v2: Stronger Generalization via
Broader Cross-Format Training Daniel Khashabi1 Yeganeh Kordi2 Hannaneh Hajishirzi1,3 …

In the retrieval-based multi-turn dialogue modeling, it remains a challenge to select the most
appropriate response according to extracting salient features in context utterances. As a …