---
title: "Who cites Arne Köhn — 85 papers of our library"
description: "85 papers of the Elamur Research library cite the works of Arne Köhn, found in their bibliographies; the most cited first."
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---
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# 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](https://md.research.elamur.ai/free/en/authors/arne-kohn/)

1. **[Analysis Methods in Neural Language Processing: A Survey](https://md.research.elamur.ai/free/en/papers/belinkov-2019-analysis-methods-neural-language-processing/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yonatan Belinkov, James Glass*2019 · 740 citations*
2. **[Probing Classifiers: Promises, Shortcomings, and Advances](https://md.research.elamur.ai/free/en/papers/belinkov-2022-probing-classifiers-promises-shortcomings-advances/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Yonatan Belinkov*2022 · 529 citations*
3. **[What do Neural Machine Translation Models Learn about Morphology?](https://md.research.elamur.ai/free/en/papers/belinkov-2017-what-do-neural-machine-translation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/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 Tasks arXiv:1801.07772 · IJCNLP 8 (2017), volume 1, 1-10**Yonatan Belinkov, Lluis Marquez, Hassan Sajjad, et al.*2017 · 225 citations*](https://md.research.elamur.ai/free/en/papers/belinkov-2018-evaluating-layers-representation-neural-machine/)
5. **[Massive Choice, Ample Tasks (MaChAmp): A Toolkit for Multi-task Learning in NLP](https://md.research.elamur.ai/free/en/papers/goot-2021-massive-choice-ample-tasks-machamp/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Rob van der Goot, Ahmet Üstün, Alan Ramponi, et al.*2021 · 177 citations*
6. [**Identifying and Controlling Important Neurons in Neural Machine Translation arXiv:1811.01157**Anthony Bau, Yonatan Belinkov, Hassan Sajjad, et al.*2018 · 121 citations*](https://md.research.elamur.ai/free/en/papers/bau-2018-identifying-controlling-important-neurons-neural/)
7. [**Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models arXiv:2401.06102**Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/ghandeharioun-2024-patchscopes-unifying-framework-inspecting-hidden/)
8. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/)
9. [**The Life Cycle of Knowledge in Big Language Models: A Survey arXiv:2303.07616 · Machine Intelligence Research. vol. 21, no. 2, pp. 217-238, 2024**Boxi Cao, Hongyu Lin, Xianpei Han, et al.*2023 · 31 citations*](https://md.research.elamur.ai/free/en/papers/cao-2023-life-cycle-knowledge-big-language/)
10. **[Morphosyntactic probing of multilingual BERT models](https://md.research.elamur.ai/free/en/papers/acs-2023-morphosyntactic-probing-multilingual-bert-models/) [Natural Language Engineering](https://md.research.elamur.ai/free/en/venues/natural-language-engineering/)**Judit Acs, Endre Hamerlik, Roy Schwartz, et al.*2023 · 26 citations*
11. [**Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement**Alireza Mohammadshahi, James Henderson*2021 · 26 citations*](https://md.research.elamur.ai/free/en/papers/mohammadshahi-2021-recursive-non-autoregressive-graph-graph/)
12. **[Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning](https://md.research.elamur.ai/free/en/papers/moskvoretskii-2024-are-large-language-models-good/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina*2024 · 12 citations*
13. **[Evaluating Pixel Language Models on Non-Standardized Languages](https://md.research.elamur.ai/free/en/papers/ortiz-2025-evaluating-pixel-language-models-non/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Alberto Muñoz-Ortiz, Verena Blaschke, Barbara Plank*2025 · 9 citations*
14. **[Multilingual Nonce Dependency Treebanks: Understanding how Language Models Represent and Process Syntactic Structure](https://md.research.elamur.ai/free/en/papers/arps-2024-multilingual-nonce-dependency-treebanks-understanding/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**David Arps, Laura Kallmeyer, Younes Samih, et al.*2024 · 4 citations*
15. **[The Thin Line Between Comprehension and Persuasion in LLMs](https://md.research.elamur.ai/free/en/papers/wynter-2026-thin-line-between-comprehension-persuasion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Adrian de Wynter, Tangming Yuan*2026 · 1 citation*
16. [**Pre-annotation Matters: A Comparative Study on POS and Dependency Annotation for an Alsatian Dialect**Delphine Bernhard, Nathanaël Beiner, Barbara Hoff*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/bernhard-2025-pre-annotation-matters-comparative-study/)
17. **[Mechanistic Interpretability Meets Cognitive Linguistics: Modelling Locative Image Schemas in the Circuit Framework](https://md.research.elamur.ai/free/en/papers/proietti-2026-mechanistic-interpretability-meets-cognitive-linguistics/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/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 UD**Josef Ruppenhofer, Ines Rehbein*2020*](https://md.research.elamur.ai/free/en/papers/ruppenhofer-2020-i-ve-got-construction-looks/)

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

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