@inproceedings{oren-etal-2024-transformers,
    title = "Transformers are Multi-State {RNN}s",
    author = "Oren, Matanel  and
      Hassid, Michael  and
      Yarden, Nir  and
      Adi, Yossi  and
      Schwartz, Roy",
    editor = "Al-Onaizan, Yaser  and
      Bansal, Mohit  and
      Chen, Yun-Nung",
    booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing",
    month = nov,
    year = "2024",
    address = "Miami, Florida, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-emnlp/2024.emnlp-main.1043/",
    doi = "10.18653/v1/2024.emnlp-main.1043",
    pages = "18724--18741"
}Markdown (Informal)
[Transformers are Multi-State RNNs](https://preview.aclanthology.org/ingest-emnlp/2024.emnlp-main.1043/) (Oren et al., EMNLP 2024)
ACL
- Matanel Oren, Michael Hassid, Nir Yarden, Yossi Adi, and Roy Schwartz. 2024. Transformers are Multi-State RNNs. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, pages 18724–18741, Miami, Florida, USA. Association for Computational Linguistics.