Daxing Jiang

xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering

Dense passage retrieval has been shown to be an effective approach for information retrieval tasks such as open domain question answering. Under this paradigm, a dual-encoder model is learned to encode questions and passages separately into vector representations, and all the passage vectors are the…