🧑‍🔬 Who cites Kai Zou

657 citations of their works from 657 papers of our library (of the 141,840 whose bibliographies we read) · 37 with a page here, the most cited first · ← Kai Zou

1. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of contextarXiv:2403.05530Gemini Team, Petko Georgiev, Ving Ian Lei, et al.2024 · 1,522 citations
2. A Survey of Data Augmentation Approaches for NLParXiv:2105.03075Steven Y. Feng, Varun Gangal, Jason Wei, et al.2021 · 937 citations
3. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLPConference on Empirical Methods in Natural Language Processing (EMNLP)John X. Morris, Eli Lifland, Jin Yong Yoo, et al.2020 · 858 citations
4. 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 · 476 citations
5. Data Augmentation using Pre-trained Transformer ModelsarXiv:2003.02245Varun Kumar, Ashutosh Choudhary, Eunah Cho2020 · 470 citations
6. 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 · 413 citations
7. A Survey on Recent Approaches for Natural Language Processing in Low-Resource ScenariosConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Michael A. Hedderich, Lukas Lange, Heike Adel, et al.2021 · 400 citations
8. Text and Code Embeddings by Contrastive Pre-TrainingarXiv:2201.10005Arvind Neelakantan, Tao Xu, Raul Puri, et al.2022 · 319 citations
9. Good-Enough Compositional Data AugmentationAnnual Meeting of the Association for Computational Linguistics (ACL)Jacob Andreas2020 · 307 citations
10. 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
11. Text Classification via Large Language ModelsFindings of the Association for Computational LinguisticsXiaofei Sun, Xiaoya Li, Jiwei Li, et al.2023 · 292 citations
12. Augmented SBERT: Data Augmentation Method for Improving Bi-Encoders for Pairwise Sentence Scoring TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Nils Reimers, Johannes Daxenberger, et al.2021 · 276 citations
13. GPT3Mix: Leveraging Large-scale Language Models for Text AugmentationFindings of the Association for Computational LinguisticsKang Min Yoo, Dongju Park, Jaewook Kang, et al.2021 · 268 citations
14. An Analysis of Simple Data Augmentation for Named Entity RecognitionInternational Conference on Computational Linguistics (COLING)Xiang Dai, Heike Adel2020 · 266 citations
15. A Holistic Approach to Undesired Content Detection in the Real WorldProceedings of the AAAI Conference on Artificial IntelligenceTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 254 citations
16. 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
17. Syntactic Data Augmentation Increases Robustness to Inference HeuristicsAnnual Meeting of the Association for Computational Linguistics (ACL)Junghyun Min, R. Thomas McCoy, Dipanjan Das, et al.2020 · 217 citations
18. Generative Data Augmentation for Commonsense ReasoningFindings of the Association for Computational LinguisticsYiben Yang, Chaitanya Malaviya, Jared Fernandez, et al.2020 · 195 citations
19. LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation MethodsarXiv:2412.05579Haitao Li, Qian Dong, Junjie Chen, et al.2024 · 189 citations
20. The Prompt Report: A Systematic Survey of Prompt Engineering TechniquesarXiv:2406.06608Sander Schulhoff, Michael Ilie, Nishant Balepur, et al.2024 · 187 citations
21. Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language ModelsarXiv:2410.07985Bofei Gao, Feifan Song, Zhe Yang, et al.2024 · 159 citations
22. Is GPT-3 a Good Data Annotator?arXiv:2212.10450Bosheng Ding, Chengwei Qin, Linlin Liu, et al.2022 · 145 citations
23. Towards Robustness of Text-to-SQL Models against Synonym SubstitutionAnnual Meeting of the Association for Computational Linguistics (ACL)Yujian Gan, Xinyun Chen, Qiuping Huang, et al.2021 · 143 citations
24. Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human InterventionsAnnual Meeting of the Association for Computational Linguistics (ACL)John Chung, Ece Kamar, Saleema Amershi2023 · 141 citations
25. RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet ExtractionFindings of the Association for Computational LinguisticsYew Ken Chia, Lidong Bing, Soujanya Poria, et al.2022 · 141 citations
26. Data Augmentation for Intent Classification with Off-the-shelf Large Language ModelsWorkshop on Natural Language Processing for Conversational AIGaurav Sahu, Pau Rodriguez, Issam Laradji, et al.2022 · 131 citations
27. Understanding by Understanding Not: Modeling Negation in Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Arian Hosseini, Siva Reddy, Dzmitry Bahdanau, et al.2021 · 98 citations
28. 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
29. Multi-VALUE: A Framework for Cross-Dialectal English NLPCaleb Ziems, William Held, Jingfeng Yang, et al.2023 · 73 citations
30. Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-TuningarXiv:2402.00530Ming Li, Yong Zhang, Shwai He, et al.2024 · 60 citations
31. Target-Aware Data Augmentation for Stance DetectionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Yingjie Li, Cornelia Caragea2021 · 56 citations
32. Data Augmentation using Transformers and Similarity Measures for Improving Arabic Text ClassificationIEEE AccessDania Refai, Saleh Abo-Soud, Mohammad Abdel-Rahman2022 · 35 citations
33. Machine Translation Meta Evaluation through Translation Accuracy Challenge SetsComputational LinguisticsNikita Moghe, Arnisa Fazla, Chantal Amrhein, et al.2025 · 28 citations
34. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations
35. Transferring Monolingual Model to Low-Resource Language: The Case of TigrinyaarXiv:2006.07698Abrhalei Tela; Abraham Woubie;, Ville Hautamaki2020 · 9 citations
36. Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act TaggingConference on Empirical Methods in Natural Language Processing (EMNLP)Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, et al.2020 · 5 citations
37. An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease PredictionIEEE/ACS International Conference on Computer Systems and Applications (AICCSA)Ali Hamdi, Malak Mohamed, Rokaia Emad, et al.2025 · 4 citations

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