---
title: "Who cites Closing Brackets with Recurrent Neural Networks"
description: "19 papers of the Elamur Research library cite «Closing Brackets with Recurrent Neural Networks», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/skachkova-2018-closing-brackets-recurrent-neural-networks/cited-by/"
---
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# Who cites «Closing Brackets with Recurrent Neural Networks»

19 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · [← back to «Closing Brackets with Recurrent Neural Networks»](https://md.research.elamur.ai/free/en/papers/skachkova-2018-closing-brackets-recurrent-neural-networks/)

1. [**Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models arXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5Bvosj**Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.*2022 · 1,756 citations*](https://md.research.elamur.ai/free/en/papers/srivastava-2022-imitation-game-quantifying-extrapolating-capabilities/)
2. **[On the Ability and Limitations of Transformers to Recognize Formal Languages](https://md.research.elamur.ai/free/en/papers/bhattamishra-2020-ability-limitations-transformers-recognize-formal/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Satwik Bhattamishra, Kabir Ahuja, Navin Goyal*2020 · 113 citations*
3. [**Neural Networks and the Chomsky Hierarchy arXiv:2207.02098**Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.*2022 · 112 citations*](https://md.research.elamur.ai/free/en/papers/deletang-2022-neural-networks-chomsky-hierarchy/)
4. [**LSTM Networks Can Perform Dynamic Counting Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges**Mirac Suzgun, Yonatan Belinkov, Stuart Shieber, et al.*2019 · 89 citations*](https://md.research.elamur.ai/free/en/papers/suzgun-2019-lstm-networks-can-perform-dynamic/)
5. **[How Can Self-Attention Networks Recognize Dyck-n Languages?](https://md.research.elamur.ai/free/en/papers/ebrahimi-2020-how-can-self-attention-networks/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Javid Ebrahimi, Dhruv Gelda, Wei Zhang*2020 · 41 citations*
6. **[Targeted Syntactic Evaluation on the Chomsky Hierarchy](https://md.research.elamur.ai/free/en/papers/someya-2024-targeted-syntactic-evaluation-chomsky-hierarchy/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Taiga Someya, Ryo Yoshida, Yohei Oseki*2024 · 10 citations*

13 more papers of our library cite it; they have no page here yet.

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