🔗 Who cites «Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling»

76 papers of our library cite it (of the 149,439 whose bibliographies we read) · 27 with a page here, the most cited first · ← back to «Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling»

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. Kimi K2: Open Agentic IntelligencearXiv:2507.20534Kimi Team, Yifan Bai, Yiping Bao, et al.2025 · 347 citations
3. DataComp-LM: In search of the next generation of training sets for language modelsConference on Neural Information Processing Systems (NeurIPS)Jeffrey Li, Alex Fang, Georgios Smyrnis, et al.2024 · 191 citations
4. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
5. Best Practices and Lessons Learned on Synthetic DataarXiv:2404.07503Ruibo Liu, Jerry Wei, Fangyu Liu, et al.2024 · 119 citations
6. Nemotron-4 340B Technical ReportarXiv:2406.11704Nvidia: Bo Adler, Niket Agarwal, Ashwath Aithal, et al.2024 · 107 citations
7. C3oT: Generating Shorter Chain-of-Thought without Compromising EffectivenessProceedings of the AAAI Conference on Artificial IntelligenceYu Kang, Xianghui Sun, Liangyu Chen, et al.2024 · 66 citations
8. Nemotron-CC: Transforming Common Crawl into a Refined Long-Horizon Pretraining DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Dan Su, Kezhi Kong, Ying Lin, et al.2025 · 65 citations
9. Instruction Pre-Training: Language Models are Supervised Multitask LearnersConference on Empirical Methods in Natural Language Processing (EMNLP)Daixuan Cheng, Yuxian Gu, Shaohan Huang, et al.2024 · 59 citations
10. Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer ModelsarXiv:2504.03624NVIDIA: Aaron Blakeman, Aarti Basant, Abhinav Khattar, et al.2025 · 38 citations
11. Towards Effective and Efficient Continual Pre-training of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jie Chen, Zhipeng Chen, Jiapeng Wang, et al.2025 · 29 citations
12. Baichuan-M1: Pushing the Medical Capability of Large Language ModelsarXiv:2502.12671Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.2025 · 24 citations
13. CRAFT Your Dataset: Task-Specific Synthetic Dataset Generation Through Corpus Retrieval and AugmentationTransactions of the Association for Computational Linguistics (TACL)Ingo Ziegler, Abdullatif Köksal, Desmond Elliott, et al.2025 · 20 citations
14. Alignment at Pre-training! Towards Native Alignment for Arabic LLMsConference on Neural Information Processing Systems (NeurIPS)Juhao Liang, Zhenyang Cai, Jianqing Zhu, et al.2024 · 14 citations
15. Language Models can Self-Lengthen to Generate Long TextsarXiv:2410.23933Shanghaoran Quan, Tianyi Tang, Bowen Yu, et al.2024 · 13 citations
16. ArabicSense: A Benchmark for Evaluating Commonsense Reasoning in Arabic with Large Language ModelsWorkshop on Arabic Corpus LinguisticsSalima Lamsiyah, Kamyar Zeinalipour, Samir El amrany, et al.2025 · 7 citations
17. Analyzing Dialectical Biases in LLMs for Knowledge and Reasoning BenchmarksFindings of the Association for Computational LinguisticsEileen Pan, Anna Seo Gyeong Choi, Maartje Ter Hoeve, et al.2025 · 6 citations
18. Arabic Stable LM: Adapting Stable LM 2 1.6B to ArabicarXiv:2412.04277Zaid Alyafeai, Michael Pieler, Hannah Teufel, et al.2024 · 6 citations
19. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationConference of the European Chapter of the Association for Computational Linguistics (EACL)Thomas F Burns, Letitia Parcalabescu, Stephan Waeldchen, et al.2026 · 4 citations
20. Writing-RL: Advancing Long-form Writing via Adaptive Curriculum Reinforcement LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Xuanyu Lei, Chenliang Li, Yuning Wu, et al.2026 · 4 citations
21. Modeling Annotator Disagreement with Demographic-Aware Experts and Synthetic PerspectivesAnnual Meeting of the Association for Computational Linguistics (ACL)Yinuo Xu, Veronica Derricks, Allison Earl, et al.2026 · 1 citation
22. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
23. Large-Scale Diverse Synthesis for Mid-TrainingFindings of the Association for Computational LinguisticsXuemiao Zhang, Chengying Tu, Can Ren, et al.2026
24. LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge PointsAnnual Meeting of the Association for Computational Linguistics (ACL)Xuemiao Zhang, Can Ren, Chengying Tu, et al.2026
25. SciPedia: Unlocking the Value of Scientific Data for Pre-trainingAnnual Meeting of the Association for Computational Linguistics (ACL)Yiwei Qin, Zhen Huang, Tiantian Mi, et al.2026
26. SELECting over Tokens: Curating Pre-training Data at Scale via Token ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Xin Tong, Weidong Zhang, Jiaang Li, et al.2026
27. Systematic Evaluation of the Quality of Synthetic Clinical Notes Rephrased by LLMs at Million-Note ScaleBioNLPJinghui Liu, Sarvesh Soni, Anthony Nguyen2026

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