PAIR

General information retrieval systems are designed to serve all users without con- sidering individual needs. In this paper, we propose a novel approach to person- alized search. It can, in …...

AbstractPre-trained Transformers have enabled impressive breakthroughs in generating long and fluent text, yet their outputs are often “rambling” without coherently arranged content. In this work, we present a novel content-controlled …...

Recently, dense passage retrieval has become a mainstream approach to finding relevant infor- mation in various natural language processing tasks. A number of studies have been devoted to improving the …...