---
title: "Who cites Preventing Generation of — 41 citing papers"
description: "41 papers of the Elamur Research library cite «Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of…"
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---
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# Who cites «Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy»

41 papers of our library cite it (of the 149,439 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy»](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/)

1. [**The Llama 3 Herd of Models arXiv:2407.21783**Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.*2024 · 7,682 citations*](https://md.research.elamur.ai/free/en/papers/grattafiori-2024-llama-3-herd-models/)
2. **[Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs](https://md.research.elamur.ai/free/en/papers/balloccu-2024-leak-cheat-repeat-data-contamination/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Simone Balloccu, Patrícia Schmidtová, Mateusz Lango, et al.*2024 · 174 citations*
3. **[TripleFact: Defending Data Contamination in the Evaluation of LLM-driven Fake News Detection](https://md.research.elamur.ai/free/en/papers/xu-2025-triplefact-defending-data-contamination-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Cheng Xu, Nan Yan*2025 · 12 citations*
4. **[Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated Learning](https://md.research.elamur.ai/free/en/papers/udsa-2026-exploring-cross-client-memorization-training/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee, et al.*2026*
5. **[The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal Techniques](https://md.research.elamur.ai/free/en/papers/ochs-2026-conundrum-trustworthy-research-attacking-personally/) [Computational Linguistics](https://md.research.elamur.ai/free/en/venues/cl/)**Sebastian Ochs, Ivan Habernal*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/ippolito-2023-preventing-generation-verbatim-memorization-language/) — Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy