---
title: "Who cites On the Systematicity of Probing — 55 citing papers"
description: "55 papers of the Elamur Research library cite «On the Systematicity of Probing Contextualized Word Representations: The Case of…"
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---
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# Who cites «On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT»

55 papers of our library cite it (of the 149,439 whose bibliographies we read) · 10 with a page here, the most cited first · [← back to «On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT»](https://md.research.elamur.ai/free/en/papers/ravichander-2020-systematicity-probing-contextualized-word-representations/)

1. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 790 citations*
2. [**A Review on Language Models as Knowledge Bases arXiv:2204.06031**Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, et al.*2022 · 150 citations*](https://md.research.elamur.ai/free/en/papers/alkhamissi-2022-review-language-models-knowledge-bases/)
3. **[Language Model Behavior: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/chang-2024-language-model-behavior-comprehensive-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Tyler A. Chang, Benjamin K. Bergen*2024 · 148 citations*
4. **[A Fine-Grained Analysis of BERTScore](https://md.research.elamur.ai/free/en/papers/hanna-2021-fine-grained-analysis-bertscore/) [Conference on Machine Translation (WMT)](https://md.research.elamur.ai/free/en/venues/wmt/)**Michael Hanna, Ondřej Bojar*2021 · 63 citations*
5. [**The Generative AI Paradox: "What It Can Create, It May Not Understand" arXiv:2311.00059**Peter West, Ximing Lu, Nouha Dziri, et al.*2023 · 62 citations*](https://md.research.elamur.ai/free/en/papers/west-2023-generative-ai-paradox-create-may/)
6. **[From Word Types to Tokens and Back: A Survey of Approaches to Word Meaning Representation and Interpretation](https://md.research.elamur.ai/free/en/papers/apidianaki-2023-word-types-tokens-back-survey/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Marianna Apidianaki*2023 · 49 citations*
7. **[mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language Models](https://md.research.elamur.ai/free/en/papers/lai-2024-mcot-multilingual-instruction-tuning-reasoning/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Huiyuan Lai, Malvina Nissim*2024 · 34 citations*
8. **[Can a Remedy Find a Researcher? Exploring the Development of Semantic Knowledge in Italian BabyLMs](https://md.research.elamur.ai/free/en/papers/suozzi-2026-can-remedy-find-researcher-exploring/) [Joint Conference on Lexical and Computational Semantics (*SEM)](https://md.research.elamur.ai/free/en/venues/starsem/)**Alice Suozzi, Luca Capone, Gianluca Lebani, et al.*2026*
9. [**The Validity of Coreference-based Evaluations of Natural Language Understanding arXiv:2602.16200**Ian Porada*2026*](https://md.research.elamur.ai/free/en/papers/porada-2026-validity-coreference-based-evaluations-natural/)
10. **[Towards a Gold Standard for Adjectival Hypernymy: Enriching the Open English WordNet with a Hybrid Approach](https://md.research.elamur.ai/free/en/papers/augello-2026-gold-standard-adjectival-hypernymy-enriching/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Lorenzo Augello, John P. McCrae, Marco Passarotti*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ravichander-2020-systematicity-probing-contextualized-word-representations/) — On the Systematicity of Probing Contextualized Word Representations: The Case of Hypernymy in BERT