🔗 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»

1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
2. Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMsConference of the European Chapter of the Association for Computational Linguistics (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 DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Xu, Nan Yan2025 · 12 citations
4. Exploring Cross-Client Memorization of Training Data in Large Language Models for Federated LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Tinnakit Udsa, Can Udomcharoenchaikit, Patomporn Payoungkhamdee, et al.2026
5. The Conundrum of Trustworthy Research on Attacking Personally Identifiable Information Removal TechniquesComputational LinguisticsSebastian Ochs, Ivan Habernal2026

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

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