🧑‍🔬 Who cites Gail Weiss

139 citations of their works from 119 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← Gail Weiss

1. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
2. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 352 citations
3. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
4. On the Ability and Limitations of Transformers to Recognize Formal LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Satwik Bhattamishra, Kabir Ahuja, Navin Goyal2020 · 113 citations
5. Neural Networks and the Chomsky HierarchyarXiv:2207.02098Grégoire Delétang, Anian Ruoss, Jordi Grau-Moya, et al.2022 · 112 citations
6. LSTM Networks Can Perform Dynamic CountingProceedings of the Workshop on Deep Learning and Formal Languages: Building BridgesMirac Suzgun, Yonatan Belinkov, Stuart Shieber, et al.2019 · 89 citations
7. Mission: Impossible Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.2024 · 70 citations
8. RNNs can generate bounded hierarchical languages with optimal memoryConference on Empirical Methods in Natural Language Processing (EMNLP)John Hewitt, Michael Hahn, Surya Ganguli, et al.2020 · 65 citations
9. Closing Brackets with Recurrent Neural NetworksEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPNatalia Skachkova, Thomas Trost, Dietrich Klakow2018 · 43 citations
10. How Can Self-Attention Networks Recognize Dyck-n Languages?Findings of the Association for Computational LinguisticsJavid Ebrahimi, Dhruv Gelda, Wei Zhang2020 · 41 citations
11. Jump to better conclusions: SCAN both left and rightEMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLPJasmijn Bastings, Marco Baroni, Jason Weston, et al.2018 · 38 citations
12. Exploring Transitivity in Neural NLI Models through VeridicalityConference of the European Chapter of the Association for Computational Linguistics (EACL)Hitomi Yanaka, Koji Mineshima, Kentaro Inui2021 · 27 citations
13. Memory Augmented Large Language Models are Computationally UniversalarXiv:2301.04589Dale Schuurmans2023 · 19 citations
14. Targeted Syntactic Evaluation on the Chomsky HierarchyLanguage Resources and Evaluation Conference (LREC)Taiga Someya, Ryo Yoshida, Yohei Oseki2024 · 10 citations
15. Between Circuits and Chomsky: Pre-pretraining on Formal Languages Imparts Linguistic BiasesAnnual Meeting of the Association for Computational Linguistics (ACL)Michael Y. Hu, Jackson Petty, Chuan Shi, et al.2025 · 9 citations
16. TArC: Tunisian Arabish Corpus, First complete releaseLanguage Resources and Evaluation Conference (LREC)Elisa Gugliotta, Marco Dinarelli2022 · 8 citations
17. An Empirical Analysis of Task Relations in the Multi-Task Annotation of an Arabizi CorpusConference on Language, Data and KnowledgeElisa Gugliotta, Marco Dinarelli2023 · 1 citation
18. Do Transformers Grok Succinct Algorithms? Mechanistic Evidence for Counting CircuitsFindings of the Association for Computational LinguisticsYizheng Zhao2026
19. The Development of Spectral and Temporal Encodings in Speech SoundsSociety for Computation in Linguistics (SCiL)Frank Lihui Tan, Youngah Do2026

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