🔗 Who cites «Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges»

26 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges»

1. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
2. ActiveLLM: Large Language Model-Based Active Learning for Textual Few-Shot ScenariosTransactions of the Association for Computational Linguistics (TACL)Markus Bayer, Justin Lutz, Christian Reuter2026 · 16 citations
3. 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
4. LLM-to-Speech: A Synthetic Data Pipeline for Training Dialectal Text-to-Speech ModelsWorkshop on NLP for Languages Using Arabic ScriptAhmed Khamis, Hesham Ali Ahmed2026 · 1 citation
5. 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
6. Memory-Guided Hard Data Augmentation for Multimodal Named Entity RecognitionFindings of the Association for Computational LinguisticsXinyu Liu, Kai fu, Yinghan Shi, et al.2026

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

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