🧑‍🔬 Who cites Arne Köhn

88 citations of their works from 85 papers of our library (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← Arne Köhn

1. Analysis Methods in Neural Language Processing: A SurveyTransactions of the Association for Computational Linguistics (TACL)Yonatan Belinkov, James Glass2019 · 740 citations
2. Probing Classifiers: Promises, Shortcomings, and AdvancesComputational LinguisticsYonatan Belinkov2022 · 529 citations
3. What do Neural Machine Translation Models Learn about Morphology?Annual Meeting of the Association for Computational Linguistics (ACL)Yonatan Belinkov, Nadir Durrani, Fahim Dalvi, et al.2017 · 487 citations
4. Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging TasksarXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.2017 · 225 citations
5. Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (EACL)Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.2021 · 177 citations
6. Identifying and Controlling Important Neurons in Neural Machine TranslationarXiv:1811.01157Anthony Bau, Yonatan Belinkov, Hassan Sajjad, et al.2018 · 121 citations
7. Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language ModelsarXiv:2401.06102Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.2024 · 84 citations
8. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
9. The Life Cycle of Knowledge in Big Language Models: A SurveyarXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024Boxi Cao, Hongyu Lin, Xianpei Han, et al.2023 · 31 citations
10. Morphosyntactic probing of multilingual BERT modelsNatural Language EngineeringJudit Acs, Endre Hamerlik, Roy Schwartz, et al.2023 · 26 citations
11. Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative RefinementAlireza Mohammadshahi, James Henderson2021 · 26 citations
12. Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy LearningLanguage Resources and Evaluation Conference (LREC)Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina2024 · 12 citations
13. Evaluating Pixel Language Models on Non-Standardized LanguagesInternational Conference on Computational Linguistics (COLING)Alberto Muñoz-Ortiz, Verena Blaschke, Barbara Plank2025 · 9 citations
14. Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic StructureConference of the North American Chapter of the Association for Computational Linguistics (NAACL)David Arps, Laura Kallmeyer, Younes Samih, et al.2024 · 4 citations
15. The Thin Line Between Comprehension and Persuasion in LLMsFindings of the Association for Computational LinguisticsAdrian de Wynter, Tangming Yuan2026 · 1 citation
16. Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian DialectDelphine Bernhard, Nathanaël Beiner, Barbara Hoff2025 · 1 citation
17. Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit FrameworkLanguage Resources and Evaluation Conference (LREC)Mattia Proietti, Afra Alishahi, Grzegorz Chrupała, et al.2026
18. I've got a construction looks funny – representing and recovering non-standard constructions in UDJosef Ruppenhofer, Ines Rehbein2020

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