🔗 Who cites «Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum»

12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 4 with a page here, the most cited first · ← back to «Dataset Decomposition: Faster LLM Training with Variable Sequence Length Curriculum»

1. 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
2. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
3. Beyond Random Sampling: Efficient Language Model Pretraining via Curriculum LearningConference of the European Chapter of the Association for Computational Linguistics (EACL)Yang Zhang, Amr Mohamed, Hadi Abdine, et al.2026 · 7 citations
4. What Makes a Good Curriculum? Disentangling the Effects of Data Ordering on LLM Mathematical ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yaning Jia, Chunhui Zhang, Xingjian Diao, et al.2026 · 4 citations

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

This page in Markdown → https://md.research.elamur.ai/free/en/papers/pouransari-2024-dataset-decomposition-faster-llm-training/cited-by/