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Who cites «Best Practices and Lessons Learned on Synthetic Data»

103 papers of our library cite it (of the 149,439 whose bibliographies we read) · 31 with a page here, the most cited first · ← back to «Best Practices and Lessons Learned on Synthetic Data»

  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video AnalysisIEEE Computer Society Conference on Computer Vision and Pattern RecognitionChaoyou Fu, Yuhan Dai, Yongdong Luo, et al.2024 · 427 citations
  3. A Survey on Large Language Models for Code GenerationarXiv:2406.00515Juyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 367 citations
  4. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
  5. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
  6. 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
  7. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
  8. Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with NothingarXiv:2406.08464Zhangchen Xu, Fengqing Jiang, Luyao Niu, et al.2024 · 148 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. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
  11. On the Diversity of Synthetic Data and its Impact on Training Large Language ModelsarXiv:2410.15226Hao Chen, Abdul Waheed, Xiang Li, et al.2024 · 35 citations
  12. OpenCodeReasoning: Advancing Data Distillation for Competitive CodingarXiv:2504.01943Wasi Uddin Ahmad, Sean Narenthiran, Somshubra Majumdar, et al.2025 · 33 citations
  13. Evaluating Language Models as Synthetic Data GeneratorsAnnual Meeting of the Association for Computational Linguistics (ACL)Seungone Kim, Juyoung Suk, Xiang Yue, et al.2025 · 32 citations
  14. Seed-Coder: Let the Code Model Curate Data for ItselfarXiv:2506.03524ByteDance Seed, Yuyu Zhang, Jing Su, et al.2025 · 25 citations
  15. Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by TencentarXiv:2411.02265Xingwu Sun, Yanfeng Chen, Yiqing Huang, et al.2024 · 25 citations
  16. What is the Role of Small Models in the LLM Era: A SurveyComputational LinguisticsLihu Chen, Gael Varoquaux2024 · 23 citations
  17. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
  18. PRACTIQ: A Practical Conversational Text-to-SQL dataset with Ambiguous and Unanswerable QueriesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mingwen Dong, Nischal Ashok Kumar, Yiqun Hu, et al.2025 · 15 citations
  19. EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error CorrectionProceedings of the AAAI Conference on Artificial IntelligenceJingheng Ye, Shang Qin, Yinghui Li, et al.2024 · 15 citations
  20. Position: LLMs Can be Good Tutors in English EducationConference on Empirical Methods in Natural Language Processing (EMNLP)Jingheng Ye, Shen Wang, Deqing Zou, et al.2025 · 9 citations
  21. Culturally-Nuanced Story Generation for Reasoning in Low-Resource Languages: The Case of Javanese and SundaneseWorkshop on Multilingual Representation LearningSalsabila Zahirah Pranida, Rifo Ahmad Genadi, Fajri Koto2025 · 8 citations
  22. LogicPro: Improving Complex Logical Reasoning via Program-Guided LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Jin Jiang, Yuchen Yan, Yang Liu, et al.2025 · 8 citations
  23. Boosting Reward Model with Preference-Conditional Multi-Aspect Synthetic Data GenerationarXiv:2407.16008Jiaming Shen, Ran Xu, Yennie Jun, et al.2024 · 5 citations
  24. SynthLLM: An LLM-based Scalable Synthetic Data Generation Pipeline for Low-Resource LanguagesLanguage Resources and Evaluation Conference (LREC)Solmaz Panahi, Vasudevan Nedumpozhimana, John Kelleher2026 · 1 citation
  25. Phoenix at Palmx: Exploring Data Augmentation for Arabic Cultural Question AnsweringArabic Natural Language Processing Conference (ArabicNLP)Houdaifa Atou, Issam Ait Yahia, Ismail Berrada2025 · 1 citation
  26. A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA TasksLanguage Resources and Evaluation Conference (LREC)Christian Poelitz, Nick McKenna2026
  27. Corruption-Based Data Augmentation for Arabic Essay Scoring: A Preliminary Study on the Organization TraitLanguage Resources and Evaluation Conference (LREC)May Saed Bashendy, Tamer Elsayed2026
  28. From Graph to Text and Back: Semantic Fidelity in Automated Industrial Knowledge GraphsAnnual Meeting of the Association for Computational Linguistics (ACL)Kamyar Zeinalipour, Silvia Severini, Alessia Borghini, et al.2026
  29. HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMsFindings of the Association for Computational LinguisticsRu Peng, Tianyu Zhao, Xijun Gu, et al.2026
  30. Synthetic Instruction Generation for Low-Resource Nordic Languages: Viability and Limitations in LLM Instruction-TuningLanguage Resources and Evaluation Conference (LREC)Mathias Stenlund, Annika Simonsen, Lars Bungum, et al.2026
  31. Too Open for Opinion? Embracing Open-Endedness in Large Language Models for Social SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bolei Ma, Yong Cao, Indira Sen, et al.2026

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

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