🔗 Who cites «Fundamental Limitations of Alignment in Large Language Models»

65 papers of our library cite it (of the 141,840 whose bibliographies we read) · 12 with a page here, the most cited first · ← back to «Fundamental Limitations of Alignment in Large Language Models»

1. Universal and Transferable Adversarial Attacks on Aligned Language ModelsarXiv:2307.15043Andy Zou, Zifan Wang, Nicholas Carlini, et al.2023 · 951 citations
   Jailbroken: How Does LLM Safety Training Fail?Conference on Neural Information Processing Systems (NeurIPS)Alexander Wei, Nika Haghtalab, Jacob Steinhardt2023 · 659 citations
2. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
   Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsFindings of the Association for Computational LinguisticsPouya Pezeshkpour, Estevam Hruschka2023 · 256 citations
3. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 226 citations
4. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt InjectionarXiv:2302.12173Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, et al.2023 · 220 citations
5. Prompt Injection attack against LLM-integrated ApplicationsarXiv:2306.05499Yi Liu; Gelei Deng; Yuekang Li; Kailong Wang; Zihao Wang; Xiaofeng Wang; Tianwei Zhang; Yepang Liu; Haoyu Wang; Yan Zheng; Leo Yu Zhang;, Yang Liu2023 · 197 citations
6. Detecting Language Model Attacks with PerplexityarXiv:2308.14132Gabriel Alon, Michael Kamfonas2023 · 136 citations
7. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 125 citations
   The Language Barrier: Dissecting Safety Challenges of LLMs in Multilingual ContextsFindings of the Association for Computational LinguisticsLingfeng Shen, Weiting Tan, Sihao Chen, et al.2024 · 86 citations
8. 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
   Breaking the Benchmark: Revealing LLM Bias via Minimal Contextual AugmentationLanguage Resources and Evaluation Conference (LREC)Kaveh Eskandari Miandoab, Mahammed Kamruzzaman, Arshia Gharooni, et al.2026

53 more papers of our library cite it; they have no page here yet.

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