---
title: "Who cites Know Your Audience: Do LLMs — 11 citing papers"
description: "11 papers of the Elamur Research library cite «Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/rooein-2023-know-audience-llms-adapt-different/cited-by/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/rooein-2023-know-audience-llms-adapt-different/cited-by/)

[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Know Your Audience: Do LLMs Adapt to Different…](https://md.research.elamur.ai/free/en/papers/rooein-2023-know-audience-llms-adapt-different/) / cited by

# Who cites «Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?»

11 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?»](https://md.research.elamur.ai/free/en/papers/rooein-2023-know-audience-llms-adapt-different/)

1. [**Large language models for education: A survey and outlook**Wang*2024 · 101 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-large-language-models-education-survey/)
2. **[Translation in the Hands of Many: Centering Lay Users in Machine Translation Interactions](https://md.research.elamur.ai/free/en/papers/savoldi-2025-translation-hands-many-centering-lay/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Beatrice Savoldi, Alan Ramponi, Matteo Negri, et al.*2025 · 16 citations*
3. [**RSA-Control: A Pragmatics-Grounded Lightweight Controllable Text Generation Framework**Yifan Wang, Vera Demberg*2024 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-rsa-control-pragmatics-grounded-lightweight/)
4. **[BIASEDTALES-ML: A Multilingual Dataset for Analyzing Narrative Attribute Distributions in LLM-Generated Stories](https://md.research.elamur.ai/free/en/papers/ouyang-2026-biasedtales-ml-multilingual-dataset-analyzing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yuxuan Ouyang, Yingfeng Luo, JingBo Zhu, et al.*2026*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/rooein-2023-know-audience-llms-adapt-different/) — Know Your Audience: Do LLMs Adapt to Different Age and Education Levels?