---
title: "Who cites Copyright Violations and Large Language Models"
description: "53 papers of the Elamur Research library cite «Copyright Violations and Large Language Models», found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/papers/karamolegkou-2023-copyright-violations-large-language-models/cited-by/"
---
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# Who cites «Copyright Violations and Large Language Models»

53 papers of our library cite it (of the 141,840 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Copyright Violations and Large Language Models»](https://md.research.elamur.ai/free/en/papers/karamolegkou-2023-copyright-violations-large-language-models/)

1. **[Apertus: Democratizing Open and Compliant LLMs for Global Language Environments](https://md.research.elamur.ai/free/en/papers/cano-2026-apertus-democratizing-open-compliant-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Alejandro Hernández-Cano, Alexander Hägele, Allen Hao Huang, et al.*2026 · 67 citations*
2. **[Investigating Memorization in Language Models Trained via Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/macking-2026-investigating-memorization-language-models-trained/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Maarten Mäcking, Michaela Regneri*2026*
3. **[Memorization or Lucky Guesses: Detecting Short Sequences from Copyrighted Dutch News in LLM Output](https://md.research.elamur.ai/free/en/papers/veerbeek-2026-memorization-or-lucky-guesses-detecting/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Joris Veerbeek, Kas Berendsen, Alessandra Polimeno, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/karamolegkou-2023-copyright-violations-large-language-models/) — Copyright Violations and Large Language Models