---
title: "Who cites D4: Improving LLM Pretraining via Document…"
description: "59 papers of the Elamur Research library cite «D4: Improving LLM Pretraining via Document De-Duplication and Diversification», found in their…"
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---
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# Who cites «D4: Improving LLM Pretraining via Document De-Duplication and Diversification»

59 papers of our library cite it (of the 140,884 whose bibliographies we read) · 5 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/tirumala-2023-d4-improving-llm-pretraining-document/)

1. [**A Survey of Large Language Models**Wayne Xin Zhao, Kun Zhou, Junyi Li, et al.*2023 · 2,847 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-survey-large-language-models/)
2. [**RedPajama: an Open Dataset for Training Large Language Models**Maurice Weber, Daniel Fu, Quentin Anthony, et al.*2024 · 247 citations*](https://md.research.elamur.ai/free/en/papers/weber-2024-redpajama-open-dataset-training-large/)
3. [**DataComp-LM: In search of the next generation of training sets for language models**Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.*2024 · 156 citations*](https://md.research.elamur.ai/free/en/papers/li-2024-datacomp-lm-search-next-generation/)
4. [**Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum Learning**Yang Zhang, Amr Mohamed, Hadi Abdine, et al.*2026 · 7 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2026-beyond-random-sampling-efficient-language/)
5. [**HEBATRON: A Hebrew-Specialized Open-Weight Mixture-of-Experts Language Model**Noam Kayzer, Dan Revital, Ori Bar Joseph, et al.*2026*](https://md.research.elamur.ai/free/en/papers/kayzer-2026-hebatron-hebrew-specialized-open-weight/)

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

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