🧑‍🔬 Who cites Kun He

256 citations of their works from 256 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Kun He

1. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,272 citations
2. 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 · 863 citations
3. BERT-ATTACK: Adversarial Attack Against BERT Using BERTConference on Empirical Methods in Natural Language Processing (EMNLP)Linyang Li, Ruotian Ma, Qipeng Guo, et al.2020 · 843 citations
4. BAE: BERT-based Adversarial Examples for Text ClassificationConference on Empirical Methods in Natural Language Processing (EMNLP)Siddhant Garg, Goutham Ramakrishnan2020 · 666 citations
5. Word-level Textual Adversarial Attacking as Combinatorial OptimizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Zang, Fanchao Qi, Chenghao Yang, et al.2020 · 340 citations
6. Contextualized Perturbation for Textual Adversarial AttackConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Dianqi Li, Yizhe Zhang, Hao Peng, et al.2021 · 283 citations
7. CLIFF: Contrastive Learning for Improving Faithfulness and Factuality in Abstractive SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Shuyang Cao, Lu Wang2021 · 260 citations
8. 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
9. 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
10. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
11. Gradient-based Adversarial Attacks against Text TransformersConference on Empirical Methods in Natural Language Processing (EMNLP)Chuan Guo, Alexandre Sablayrolles, Hervé Jégou, et al.2021 · 189 citations
12. Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style TransferConference on Empirical Methods in Natural Language Processing (EMNLP)Fanchao Qi, Yangyi Chen, Xurui Zhang, et al.2021 · 189 citations
13. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
14. Explaining NLP Models via Minimal Contrastive Editing (MiCE)Findings of the Association for Computational LinguisticsAlexis Ross, Ana Marasović, Matthew Peters2021 · 155 citations
15. Reevaluating Adversarial Examples in Natural LanguageFindings of the Association for Computational LinguisticsJohn Morris, Eli Lifland, Jack Lanchantin, et al.2020 · 151 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. 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
18. Defending Against Alignment-Breaking Attacks via Robustly Aligned LLMAnnual Meeting of the Association for Computational Linguistics (ACL)Bochuan Cao, Yuanpu Cao, Lu Lin, et al.2024 · 109 citations
19. Certified Robustness to Text Adversarial Attacks by Randomized [MASK]Computational LinguisticsJiehang Zeng, Jianhan Xu, Xiaoqing Zheng, et al.2023 · 101 citations
20. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
21. The Trickle-down Impact of Reward (In-)consistency on RLHFarXiv:2309.16155Lingfeng Shen, Sihao Chen, Linfeng Song, et al.2023 · 11 citations
22. Arabic Synonym BERT-based Adversarial Examples for Text ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Norah Alshahrani, Saied Alshahrani, Esma Wali, et al.2024 · 10 citations
23. A Closer Look into the Robustness of Neural Dependency Parsers Using Better Adversarial ExamplesYuxuan Wang, Wanxiang Che, Ivan Titov, et al.2021 · 8 citations
24. GAMBIT: A Gamified Jailbreak Framework for Multimodal Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangdong Hu, Yangyang Jiang, Qin Hu, et al.2026 · 6 citations
25. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness EvaluationFindings of the Association for Computational LinguisticsYulia Otmakhova, Thinh Hung Truong, Rahmad Mahendra, et al.2026 · 1 citation
26. Breaking the Generator Barrier: Disentangled Representation for Generalizable AI-Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Pu, Zepeng Cheng, Lin Yuan, et al.2026
27. SPARTA: Evaluating Reasoning Segmentation Robustness through Black-Box Adversarial Paraphrasing in Text Autoencoder Latent SpaceConference of the European Chapter of the Association for Computational Linguistics (EACL)Viktoriia Zinkovich, Anton Antonov, Andrei Spiridonov, et al.2026
28. Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)Journal of SoftwareYunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.2025

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