@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/jlcl-multiple-ingestion/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/jlcl-multiple-ingestion/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.