---
title: "Who cites On the Diversity of Synthetic Data — 30 citing papers"
description: "30 papers of the Elamur Research library cite «On the Diversity of Synthetic Data and its Impact on Training Large Language Models», found…"
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---
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# Who cites «On the Diversity of Synthetic Data and its Impact on Training Large Language Models»

30 papers of our library cite it (of the 149,439 whose bibliographies we read) · 9 with a page here, the most cited first · [← back to «On the Diversity of Synthetic Data and its Impact on Training Large Language Models»](https://md.research.elamur.ai/free/en/papers/chen-2024-diversity-synthetic-data-impact-training/)

1. [**Baichuan-M1: Pushing the Medical Capability of Large Language Models arXiv:2502.12671**Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/)
2. **[Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic Perspectives](https://md.research.elamur.ai/free/en/papers/xu-2026-modeling-annotator-disagreement-demographic-aware/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yinuo Xu, Veronica Derricks, Allison Earl, et al.*2026 · 1 citation*
3. **[Reformulate and Create, Don't Translate: Creating Natural Prompts for Underserved Languages](https://md.research.elamur.ai/free/en/papers/simonsen-2026-reformulate-create-don-t-translate/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Annika Simonsen, Mathias Stenlund, Lars Bungum, et al.*2026 · 1 citation*
4. **[Beyond Sample-Level Feedback: Using Reference-Level Feedback to Guide Data Synthesis](https://md.research.elamur.ai/free/en/papers/mehri-2026-beyond-sample-level-feedback-reference/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Shuhaib Mehri, Xiusi Chen, Heng Ji, et al.*2026*
5. **[Data Pollination: An Emergent Ecological Process Driving AI Population Evolution](https://md.research.elamur.ai/free/en/papers/xie-2026-data-pollination-emergent-ecological-process/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shufang Xie, Qizhi Pei, Ang Lv, et al.*2026*
6. **[One Joke to Rule them All? On the (Im)possibility of Generalizing Humor Detection](https://md.research.elamur.ai/free/en/papers/turgeman-2026-one-joke-rule-them-all/) [Workshop on Computational Humor](https://md.research.elamur.ai/free/en/venues/chum/)**Mor Turgeman, Chen Shani, Dafna Shahaf*2026*
7. **[Synthetic Data Generation for Training Diversified Commonsense Reasoning Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-synthetic-data-generation-training-diversified/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianhui Zhang, Bei Peng, Danushka Bollegala*2026*
8. **[Synthetic Eggs in Many Baskets: The Impact of Synthetic Data Diversity on LLM Fine-Tuning](https://md.research.elamur.ai/free/en/papers/schaffelder-2026-synthetic-eggs-many-baskets-impact/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Max Schaffelder, Albert Gatt*2026*
9. [**The Role of Dataset Linguistic Structure in the Cultural Awareness of Large Language Models arXiv:2602.01161**Reem I. Masoud, Chen Feng, Shunta Asano, et al.*2026*](https://md.research.elamur.ai/free/en/papers/masoud-2026-role-dataset-linguistic-structure-cultural/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2024-diversity-synthetic-data-impact-training/) — On the Diversity of Synthetic Data and its Impact on Training Large Language Models