---
title: "Who cites Robert Berwick — 25 papers of our library"
description: "25 papers of the Elamur Research library cite the works of Robert Berwick, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/robert-berwick/cited-by/"
---
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# Who cites Robert Berwick

25 citations of their works from 25 papers of our library (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← Robert Berwick](https://md.research.elamur.ai/free/en/authors/robert-berwick/)

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. **[RNNs can generate bounded hierarchical languages with optimal memory](https://md.research.elamur.ai/free/en/papers/hewitt-2020-rnns-can-generate-bounded-hierarchical/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**John Hewitt, Michael Hahn, Surya Ganguli, et al.*2020 · 65 citations*
6. **[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*
7. **[Can RNNs trained on harder subject-verb agreement instances still perform well on easier ones?](https://md.research.elamur.ai/free/en/papers/bansal-2021-can-rnns-trained-harder-subject/) [Society for Computation in Linguistics (SCiL)](https://md.research.elamur.ai/free/en/venues/scil/)**Hritik Bansal, Gantavya Bhatt, Sumeet Agarwal*2021 · 1 citation*

18 more citing papers of our library have no page here yet.

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