🔗 Who cites «Can LLM-Generated Misinformation Be Detected?»

77 papers of our library cite it (of the 149,439 whose bibliographies we read) · 21 with a page here, the most cited first · ← back to «Can LLM-Generated Misinformation Be Detected?»

1. A Survey on Large Language Model (LLM) Security and Privacy: The Good, the Bad, and the UglyarXiv:2312.02003Yifan Yao, Jinhao Duan, Kaidi Xu, et al.2023 · 1,186 citations
2. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
3. Large Language Models for Data Annotation and Synthesis: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Zhen Tan, Dawei Li, Song Wang, et al.2024 · 262 citations
4. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
5. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
6. RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Niu, Yuanhao Wu, Juno Zhu, et al.2024 · 207 citations
7. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
8. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
9. Disentangling Memory and Reasoning Ability in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyu Jin, Weidi Luo, Sitao Cheng, et al.2025 · 45 citations
10. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
11. Understanding the Dark Side of LLMs' Intrinsic Self-CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Qingjie Zhang, Di Wang, Haoting Qian, et al.2025 · 21 citations
12. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihao Wei, Jingcheng Deng, Liang Pang, et al.2025 · 20 citations
13. FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hongzhan Lin, Yang Deng, Yuxuan Gu, et al.2025 · 15 citations
14. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
15. ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM InteractionFindings of the Association for Computational LinguisticsLvhua Wu, Xuefeng Jiang, Sheng Sun, et al.2026 · 3 citations
16. Beyond A Fixed Seal: Adaptive Stealing Watermark in Large Language ModelsFindings of the Association for Computational LinguisticsShuhao Zhang, Yuli Chen, Jiale Han, et al.2026
17. Beyond Detection: Evaluating Fallacy Awareness of LLMs in Interactive ScenariosAnnual Meeting of the Association for Computational Linguistics (ACL)Conghui Niu, Ningxin Wu, Ziran Zhao, et al.2026
18. Can AI-Generated Persuasion Be Detected? Persuaficial Benchmark and AI vs. Human Linguistic DifferencesAnnual Meeting of the Association for Computational Linguistics (ACL)Arkadiusz Modzelewski, Paweł Golik, Anna Kołos, et al.2026
19. From Detection to Attribution: Forensic Linguistics and Adversarial Red Teaming as Complementary Responses to LLM MisuseInternational Conference on Natural Language Processing and Artificial Intelligence for Cyber SecurityRui Sousa-Silva2026
20. Probing the Plasticity and Correlation of LLM Value Systems: LLM Value Rankings are Not StableFindings of the Association for Computational LinguisticsZhenheng Tang, Qihua Pan, Jingya Shen, et al.2026
21. Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text SimplificationNew Horizons in Computational Linguistics for Religious TextsShatha Altammami2025

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

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