🔗 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 · ← the paper

1. Bias and Fairness in Large Language Models: A SurveyIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,074 citations
2. Aya Model: An Instruction Finetuned Open-Access Multilingual Language ModelAhmet Üstün, Viraat Aryabumi, Zheng-Xin Yong, et al.2024 · 245 citations
3. Synthetic Data Generation with Large Language Models for Text Classification: Potential and LimitationsZhuoyan Li, Hangxiao Zhu, Zhuoran Lu, et al.2023 · 242 citations
4. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 236 citations
5. Paraphrasing as Zero-shot Translation with Feature-guided Diversity EnhancementZiyue Yan, Hongying Zan, Xinglin Lyu, et al.2026

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

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