---
title: "Who cites Democratizing Large Language — 54 citing papers"
description: "54 papers of the Elamur Research library cite «Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning»…"
canonical: "https://research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/cited-by/"
---
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# Who cites «Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning»

54 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning»](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/)

1. **[Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization](https://md.research.elamur.ai/free/en/papers/tseng-2024-two-tales-persona-llms-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yu-Min Tseng, Yu-Chao Huang, Teng-Yun Hsiao, et al.*2024 · 177 citations*
2. **[Towards Safer Large Language Models through Machine Unlearning](https://md.research.elamur.ai/free/en/papers/liu-2024-safer-large-language-models-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, et al.*2024 · 71 citations*
3. **[Addressing the Ecological Fallacy in Larger LMs with Human Context](https://md.research.elamur.ai/free/en/papers/soni-2026-addressing-ecological-fallacy-larger-lms/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Nikita Soni, Dhruv Vijay Kunjadiya, Pratham Piyush Shah, et al.*2026 · 1 citation*
4. [**JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew**Itay Razumenko, Arnon Sturm, Nir Grinberg*2026*](https://md.research.elamur.ai/free/en/papers/razumenko-2026-judgemenot-personalizing-large-language-models/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/tan-2024-democratizing-large-language-models-personalized/) — Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning