---
title: "Who cites Are Large Language Models — 12 citing papers"
description: "12 papers of the Elamur Research library cite «Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning»…"
canonical: "https://research.elamur.ai/free/en/papers/moskvoretskii-2024-are-large-language-models-good/cited-by/"
---
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# Who cites «Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «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/)

1. [**Inferring Adjective Hypernyms with Language Models to Increase the Connectivity of Open English Wordnet Proceedings of the 5th Conference on Language, Data and Knowledge: The 5th OntoLex Workshop**Lorenzo Augello, John P. McCrae*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/augello-2025-inferring-adjective-hypernyms-language-models/)
2. **[Cross-Modal Taxonomic Generalization in (Vision-) Language Models](https://md.research.elamur.ai/free/en/papers/xu-2026-cross-modal-taxonomic-generalization-vision/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianyang Xu, Marcelo Sandoval-Castañeda, Karen Livescu, et al.*2026*
3. **[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*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/moskvoretskii-2024-are-large-language-models-good/) — Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning