🧑‍🔬 Who cites Shouling Ji

245 citations of their works from 245 papers of our library (of the 149,439 whose bibliographies we read) · 33 with a page here, the most cited first · ← Shouling Ji

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. Weight Poisoning Attacks on Pretrained ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Keita Kurita, Paul Michel, Graham Neubig2020 · 416 citations
5. SimCLS: A Simple Framework for Contrastive Learning of Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Yixin Liu, Pengfei Liu2021 · 341 citations
6. HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust RefusalarXiv:2402.04249Mantas Mazeika, Long Phan, Xuwang Yin, et al.2024 · 330 citations
7. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsarXiv:2306.04528Kaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 305 citations
8. Socratic Models: Composing Zero-Shot Multimodal Reasoning with LanguagearXiv:2204.00598Andy Zeng, Maria Attarian, Brian Ichter, et al.2022 · 302 citations
9. Retrieval-Augmented Generation for AI-Generated Content: A SurveyarXiv:2402.19473Penghao Zhao, Hailin Zhang, Qinhan Yu, et al.2024 · 301 citations
10. 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
11. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 259 citations
12. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsarXiv:2309.00614Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 236 citations
13. 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
14. 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
15. 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
16. SmoothLLM: Defending Large Language Models Against Jailbreaking AttacksarXiv:2310.03684Alexander Robey, Eric Wong, Hamed Hassani, et al.2023 · 164 citations
17. Reevaluating Adversarial Examples in Natural LanguageFindings of the Association for Computational LinguisticsJohn Morris, Eli Lifland, Jack Lanchantin, et al.2020 · 151 citations
18. 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
19. 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
20. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
21. PoisonedRAG: Knowledge Corruption Attacks to Retrieval-Augmented Generation of Large Language ModelsarXiv:2402.07867Wei Zou, Runpeng Geng, Binghui Wang, et al.2024 · 80 citations
22. Explore, Establish, Exploit: Red Teaming Language Models from ScratcharXiv:2306.09442Stephen Casper, Jason Lin, Joe Kwon, et al.2023 · 52 citations
23. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction AmplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Boyang Zhang, Yicong Tan, Yun Shen, et al.2025 · 29 citations
24. MEraser: An Effective Fingerprint Erasure Approach for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jingxuan Zhang, Zhenhua Xu, Rui Hu, et al.2025 · 11 citations
25. 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
26. CTCC: A Robust and Stealthy Fingerprinting Framework for Large Language Models via Cross-Turn Contextual Correlation BackdoorConference on Empirical Methods in Natural Language Processing (EMNLP)Zhenhua Xu, Xixiang Zhao, Xubin Yue, et al.2025 · 4 citations
27. DuFFin: A Dual-Level Fingerprinting Framework for LLMs IP ProtectionFindings of the Association for Computational LinguisticsYuliang Yan, Haochun Tang, Shuo Yan, et al.2026 · 2 citations
28. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
29. Evaluation of Adversarial Robustness in Arabic Language ModelsarXiv:2607.25814Anwar Alajmi, Ayed Salman, Imtiaz Ahmad2026 · 1 citation
30. 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
31. Interpretability of LLM Classifiers via the Rational Inattention Theory with Application to Hate Speech DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuan Zhao, Ali Abdi2026
32. Spotlight and Shadow: Attention-Guided Dual-Anchor Introspective Decoding for MLLM Hallucination MitigationFindings of the Association for Computational LinguisticsYebo Wu, Han Jin, Zhijiang Guo, et al.2026
33. 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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