Qingyang Wu, Zhenzhong Lan, Kun Qian, Jing Gu, Alborz Geramifard, Zhou Yu. Memformer: A Memory-Augmented Transformer for Sequence Modeling. In Yulan He 0001, Heng Ji, Yang Liu, Sujian Li, Chia-Hui Chang, Soujanya Poria, Chenghua Lin, Wray L. Buntine, Maria Liakata, Hanqi Yan, Zonghan Yan, Sebastian Ruder, Xiaojun Wan, Miguel Arana-Catania, Zhongyu Wei, Hen-Hsen Huang, Jheng-Long Wu, Min-Yuh Day, Pengfei Liu, Ruifeng Xu, editors, Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022. pages 308-318, Association for Computational Linguistics, 2022. [doi]
@inproceedings{WuLQGGY22,
title = {Memformer: A Memory-Augmented Transformer for Sequence Modeling},
author = {Qingyang Wu and Zhenzhong Lan and Kun Qian and Jing Gu and Alborz Geramifard and Zhou Yu},
year = {2022},
url = {https://aclanthology.org/2022.findings-aacl.29},
researchr = {https://researchr.org/publication/WuLQGGY22},
cites = {0},
citedby = {0},
pages = {308-318},
booktitle = {Findings of the Association for Computational Linguistics: AACL-IJCNLP 2022, Online only, November 20-23, 2022},
editor = {Yulan He 0001 and Heng Ji and Yang Liu and Sujian Li and Chia-Hui Chang and Soujanya Poria and Chenghua Lin and Wray L. Buntine and Maria Liakata and Hanqi Yan and Zonghan Yan and Sebastian Ruder and Xiaojun Wan and Miguel Arana-Catania and Zhongyu Wei and Hen-Hsen Huang and Jheng-Long Wu and Min-Yuh Day and Pengfei Liu and Ruifeng Xu},
publisher = {Association for Computational Linguistics},
isbn = {978-1-959429-04-3},
}