🔗 Who cites «Combating Misinformation in the Age of LLMs: Opportunities and Challenges»

74 papers of our library cite it (of the 149,439 whose bibliographies we read) · 18 with a page here, the most cited first · ← back to «Combating Misinformation in the Age of LLMs: Opportunities and Challenges»

1. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsACM Transactions on Information SystemsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,231 citations
2. 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
3. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
4. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
5. 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
6. Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability CurvaturearXiv:2310.05130Guangsheng Bao, Yanbin Zhao, Zhiyang Teng, et al.2023 · 148 citations
7. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
8. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
9. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 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. Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?Annual Meeting of the Association for Computational Linguistics (ACL)Hexiang Tan, Fei Sun, Wanli Yang, et al.2024 · 37 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. Refining Input Guardrails: Enhancing LLM-as-a-Judge Efficiency Through Chain-of-Thought Fine-Tuning and AlignmentarXiv:2501.13080Melissa Kazemi Rad, Huy Nghiem, Andy Luo, et al.2025 · 9 citations
14. AILS-NTUA at SemEval-2026 Task 10: Agentic LLMs for Psycholinguistic Marker Extraction and Conspiracy Endorsement DetectionInternational Workshop on Semantic Evaluation (SemEval)Panagiotis Spanakis, Maria Lymperaiou, Giorgos Filandrianos, et al.2026 · 2 citations
15. Investigating Language and Retrieval Bias in Multilingual Previously Fact-Checked Claim DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Ivan Vykopal, Antonia Karamolegkou, Jaroslav Kopčan, et al.2026 · 1 citation
16. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
17. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
18. ReFACT: A Benchmark for Scientific Confabulation Detection with Positional Error AnnotationsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yindong Wang, Martin Preiß, Margarita Bugueño, et al.2026

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