🧑‍🔬 Who cites Hongyi Zhang

444 citations of their works from 444 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Hongyi Zhang

1. Unsupervised Data Augmentation for Consistency TrainingarXiv:1904.12848Qizhe Xie, Zihang Dai, Eduard Hovy, et al.2019 · 1,871 citations
2. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 citations
3. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 940 citations
4. ViLT: Vision-and-Language Transformer Without Convolution or Region SupervisionarXiv:2102.03334Wonjae Kim, Bokyung Son, Ildoo Kim2021 · 804 citations
5. Masked Autoencoders Are Scalable Vision LearnersarXiv:2111.06377Kaiming He, Xinlei Chen, Saining Xie, et al.2021 · 596 citations
6. Training data-efficient image transformers & distillation through attentionarXiv:2012.12877Hugo Touvron, Matthieu Cord, Matthijs Douze, et al.2020 · 524 citations
7. Model soups: averaging weights of multiple fine-tuned models improves accuracy without increasing inference timearXiv:2203.05482Mitchell Wortsman, Gabriel Ilharco, Samir Yitzhak Gadre, et al.2022 · 507 citations
8. OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning FrameworkarXiv:2202.03052Peng Wang, An Yang, Rui Men, et al.2022 · 467 citations
9. MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text ClassificationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaao Chen, Zichao Yang, Diyi Yang2020 · 417 citations
10. ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and GenerationarXiv:2107.02137Yu Sun, Shuohuan Wang, Shikun Feng, et al.2021 · 332 citations
11. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 313 citations
12. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 270 citations
13. 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 · 254 citations
14. Supporting Clustering with Contrastive LearningConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dejiao Zhang, Feng Nan, Xiaokai Wei, et al.2021 · 239 citations
15. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
16. 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
17. STEMM: Self-learning with Speech-text Manifold Mixup for Speech TranslationAnnual Meeting of the Association for Computational Linguistics (ACL)Qingkai Fang, Rong Ye, Lei Li, et al.2022 · 133 citations
18. Sequence-to-Sequence Data Augmentation for Dialogue Language UnderstandingInternational Conference on Computational Linguistics (COLING)Yutai Hou, Yijia Liu, Wanxiang Che, et al.2018 · 88 citations
19. Are LLMs Better than Reported? Detecting Label Errors and Mitigating Their Effect on Model PerformanceConference on Empirical Methods in Natural Language Processing (EMNLP)Omer Nahum, Nitay Calderon, Orgad Keller, et al.2025 · 27 citations
20. MathFusion: Enhancing Mathematical Problem-solving of LLM through Instruction FusionAnnual Meeting of the Association for Computational Linguistics (ACL)Qizhi Pei, Lijun Wu, Zhuoshi Pan, et al.2025 · 10 citations
21. SFTMix: Elevating Language Model Instruction Tuning with Mixup RecipeAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Xiao, Shujian Zhang, Marzyeh Ghassemi, et al.2026 · 3 citations
22. HCMUS_TheFangs at AbjadGenEval Shared Task: Weighted Layer Pooling with Attention Fusion for Arabic AI-Generated Text DetectionWorkshop on NLP for Languages Using Arabic ScriptDuy Minh Dao Sy, Nguyen Chi Tran, Trung Kiet Huynh, et al.2026
23. HCMUS_TheFangs at NakbaArchiveClassifier Shared Task: Foundation Models and Advanced Training Strategies for Conflict Damage ClassificationInternational Workshop on Nakba Narratives as Language Resources @ LRECDuy Minh Dao Sy, Trung Kiet Huynh, Nguyen Chi Tran, et al.2026
24. LAFED at SemEval-2026 Task 13: Language-Agnostic Feature Engineering for Cross-Lingual AI-Generated Code DetectionInternational Workshop on Semantic Evaluation (SemEval)Juan David Villate2026
25. Memory-Guided Hard Data Augmentation for Multimodal Named Entity RecognitionFindings of the Association for Computational LinguisticsXinyu Liu, Kai fu, Yinghan Shi, et al.2026
26. MERaLiON-SER: Robust Speech Emotion Recognition Model for English and SEA LanguagesarXiv:2511.04914Hardik B. Sailor, Aw Ai Ti, Chen Fang Yih Nancy, et al.2025

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