🧑‍🔬 Who cites Steven Y. Feng

295 citations of their works from 294 papers of our library (of the 141,840 whose bibliographies we read) · 17 with a page here, the most cited first · ← Steven Y. Feng

1. Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A SurveyACM Computing SurveysBonan Min, Hayley Ross, Elior Sulem, et al.2021 · 1,552 citations
2. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,182 citations
3. Discovering Language Model Behaviors with Model-Written EvaluationsarXiv:2212.09251Ethan Perez, Sam Ringer, Kamilė Lukošiūtė, et al.2022 · 307 citations
4. AugGPT: Leveraging ChatGPT for Text Data AugmentationIEEE Transactions on Big DataHaixing Dai; Zhengliang Liu; Wenxiong Liao; Xiaoke Huang; Yihan Cao; Zihao Wu; Lin Zhao; Shaochen Xu; Wei Liu; Ninghao Liu; Sheng Li; Dajiang Zhu; Hongmin Cai; Lichao Sun; Quanzheng Li; Dinggang Shen; Tianming Liu;, Xiang Li2023 · 306 citations
5. An Empirical Survey of Data Augmentation for Limited Data Learning in NLPTransactions of the Association for Computational Linguistics (TACL)Jiaao Chen, Derek Tam, Colin Raffel, et al.2023 · 253 citations
6. REFINER: Reasoning Feedback on Intermediate RepresentationsarXiv:2304.01904Debjit Paul, Mete Ismayilzada, Maxime Peyrard, et al.2023 · 152 citations
7. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
8. DialFact: A Benchmark for Fact-Checking in DialogueAnnual Meeting of the Association for Computational Linguistics (ACL)Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, et al.2022 · 97 citations
9. A Survey on Data Selection for Language ModelsarXiv:2402.16827Alon Albalak, Yanai Elazar, Sang Michael Xie, et al.2024 · 85 citations
10. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 85 citations
11. Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationIEEE AccessDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
12. Child-Directed Language Does Not Consistently Boost Syntax Learning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Francesca Padovani, Jaap Jumelet, Yevgen Matusevych, et al.2025 · 9 citations
13. DeepSTL — From English Requirements to Signal Temporal LogicarXiv:2109.10294Jie He, Ezio Bartocci, Dejan Ničkovic, et al.2021 · 4 citations
14. Babies Learn to Look Ahead: Multi-Token Prediction in Small LMsBabyLM WorkshopAnsar Aynetdinov, Alan Akbik2025 · 1 citation
15. Batch-wise Convergent Pre-training: Step-by-Step Learning Inspired by Child Language DevelopmentBabyLM WorkshopKo Yoshida, Daiki Shiono, Kai Sato, et al.2025 · 1 citation
16. Child-directed speech facilitates production, not comprehension, in BabyLMsConference on Computational Natural Language Learning (CoNLL)Bastian Bunzeck, Sina Zarrieß2026
17. NoLoR: An ASR-Based Framework for Expedited Endangered Language Documentation with Neo-Aramaic as a Case StudyMatthew Nazari2024

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