@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://aclanthology.org/2024.emnlp-main.1043",
pages = "18724--18741",
}
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%0 Conference Proceedings
%T Transformers are Multi-State RNNs
%A Oren, Matanel
%A Hassid, Michael
%A Yarden, Nir
%A Adi, Yossi
%A Schwartz, Roy
%Y Al-Onaizan, Yaser
%Y Bansal, Mohit
%Y Chen, Yun-Nung
%S Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
%D 2024
%8 November
%I Association for Computational Linguistics
%C Miami, Florida, USA
%F oren-etal-2024-transformers
%U https://aclanthology.org/2024.emnlp-main.1043
%P 18724-18741
Markdown (Informal)
[Transformers are Multi-State RNNs](https://aclanthology.org/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.