memformers 0.0.1

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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}
}