---
title: "Who cites Increasing Diversity While — 74 citing papers"
description: "74 papers of the Elamur Research library cite «Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language…"
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---
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# Who cites «Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions»

74 papers of our library cite it (of the 141,840 whose bibliographies we read) · 5 with a page here, the most cited first · [← back to «Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions»](https://md.research.elamur.ai/free/en/papers/chung-2023-increasing-diversity-while-maintaining-accuracy/)

1. [**Bias and Fairness in Large Language Models: A Survey**Isabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.*2023 · 1,074 citations*](https://md.research.elamur.ai/free/en/papers/gallegos-2023-bias-fairness-large-language-models/)
2. [**Aya Model: An Instruction Finetuned Open-Access Multilingual Language Model**Ahmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.*2024 · 245 citations*](https://md.research.elamur.ai/free/en/papers/ustun-2024-aya-model-instruction-finetuned-open/)
3. [**Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations**Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.*2023 · 242 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-synthetic-data-generation-large-language/)
4. [**On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey**Lin Long, Rui Wang, Ruixuan Xiao, et al.*2024 · 236 citations*](https://md.research.elamur.ai/free/en/papers/long-2024-llms-driven-synthetic-data-generation/)
5. [**Paraphrasing as Zero-shot Translation with Feature-guided Diversity Enhancement**Ziyue Yan, Hongying Zan, Xinglin Lyu, et al.*2026*](https://md.research.elamur.ai/free/en/papers/yan-2026-paraphrasing-as-zero-shot-translation/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chung-2023-increasing-diversity-while-maintaining-accuracy/) — Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions