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Memformer
Implementations for Memformer and MemBART
Citations
Memformer: A Memory-Augmented Transformer for Sequence Modeling
@inproceedings{DBLP:conf/ijcnlp/WuLQGGY22,
author = {Qingyang Wu and
Zhenzhong Lan and
Kun Qian and
Jing Gu and
Alborz Geramifard and
Zhou Yu},
title = {Memformer: {A} Memory-Augmented Transformer for Sequence Modeling},
booktitle = {Findings of the Association for Computational Linguistics: {AACL-IJCNLP}
2022, Online only, November 20-23, 2022},
pages = {308--318},
publisher = {Association for Computational Linguistics},
year = {2022},
url = {https://aclanthology.org/2022.findings-aacl.29},
timestamp = {Tue, 29 Nov 2022 14:53:03 +0100},
biburl = {https://dblp.org/rec/conf/ijcnlp/WuLQGGY22.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
Stateful Memory-Augmented Transformers for Dialogue Modeling
@article{DBLP:journals/corr/abs-2209-07634,
author = {Qingyang Wu and
Zhou Yu},
title = {Stateful Memory-Augmented Transformers for Dialogue Modeling},
journal = {CoRR},
volume = {abs/2209.07634},
year = {2022},
url = {https://doi.org/10.48550/arXiv.2209.07634},
doi = {10.48550/arXiv.2209.07634},
eprinttype = {arXiv},
eprint = {2209.07634},
timestamp = {Tue, 27 Sep 2022 16:29:43 +0200},
biburl = {https://dblp.org/rec/journals/corr/abs-2209-07634.bib},
bibsource = {dblp computer science bibliography, https://dblp.org}
}
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