Papers by Daxing Jiang
xMoCo: Cross Momentum Contrastive Learning for Open-Domain Question Answering (2021.acl-long)
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| Challenge: | Existing approaches to find relevant passages using sparse keywords are not effective for open domain question answering. |
| Approach: | They propose a new contrastive learning method for learning a dual-encoder model for question-passage matching using a large pool of negative samples. |
| Outcome: | The proposed method maintains large pool of negative samples and optimizes question-to-passage and passage-to question matching tasks. |