Large Dual Encoders Are Generalizable Retrievers - researchr publication authors

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Jianmo Ni, Chen Qu 0001, Jing Lu, Zhuyun Dai, Gustavo Hernández Abrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang. Large Dual Encoders Are Generalizable Retrievers. In Yoav Goldberg, Zornitsa Kozareva, Yue Zhang, editors, Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11. pages 9844-9855, Association for Computational Linguistics, 2022. [doi]

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