🧑‍🔬 Who cites Kai Shu

268 citations of their works from 235 papers of our library (of the 149,439 whose bibliographies we read) · 56 with a page here, the most cited first · ← Kai Shu

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. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvaturearXiv:2301.11305Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 481 citations
4. Security and Privacy Challenges of Large Language Models: A SurveyACM Computing SurveysBadhan Chandra Das, M. Hadi Amini, Yanzhao Wu2024 · 424 citations
5. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
6. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
7. 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
8. Automatic Detection of Machine Generated Text: A Critical SurveyInternational Conference on Computational Linguistics (COLING)Ganesh Jawahar, Muhammad Abdul-Mageed, Laks Lakshmanan V.S.2020 · 247 citations
9. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
10. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
11. 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
12. 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
13. DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated TextFindings of the Association for Computational LinguisticsJinyan Su, Terry Zhuo, Di Wang, et al.2023 · 172 citations
14. 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
15. 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
16. TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text GenerationFindings of the Association for Computational LinguisticsAdaku Uchendu, Zeyu Ma, Thai Le, et al.2021 · 140 citations
17. Jailbreak and Guard Aligned Language Models with Only Few In-Context DemonstrationsarXiv:2310.06387Zeming Wei, Yifei Wang, Ang Li, et al.2023 · 130 citations
18. MAGE: Machine-generated Text Detection in the WildAnnual Meeting of the Association for Computational Linguistics (ACL)Yafu Li, Qintong Li, Leyang Cui, et al.2024 · 129 citations
19. Ghostbuster: Detecting Text Ghostwritten by Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Vivek Verma, Eve Fleisig, Nicholas Tomlin, et al.2024 · 122 citations
20. Monitoring AI-Modified Content at Scale: A Case Study on the Impact of ChatGPT on AI Conference Peer ReviewsarXiv:2403.07183Weixin Liang, Zachary Izzo, Yaohui Zhang, et al.2024 · 119 citations
21. Can LLM-Generated Misinformation Be Detected?arXiv:2309.13788Canyu Chen, Kai Shu2023 · 108 citations
22. Mapping the Increasing Use of LLMs in Scientific PapersarXiv:2404.01268Weixin Liang, Yaohui Zhang, Zhengxuan Wu, et al.2024 · 89 citations
23. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
24. 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
25. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
26. 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
27. AICD Bench: A Challenging Benchmark for AI-Generated Code DetectionConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniil Orel, Dilshod Azizov, Indraneil Paul, et al.2026 · 23 citations
28. 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
29. 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
30. 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
31. 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
32. Traditional Readability Formulas Compared for EnglisharXiv:2301.02975Bruce W. Lee, Jason Hyung-Jong Lee2023 · 9 citations
33. Shared Imagination: LLMs Hallucinate AlikearXiv:2407.16604Yilun Zhou, Caiming Xiong, Silvio Savarese, et al.2024 · 7 citations
34. VeriTaS: The First Dynamic Benchmark for Multimodal Automated Fact-CheckingAnnual Meeting of the Association for Computational Linguistics (ACL)Mark Rothermel, Marcus Kornmann, Marcus Rohrbach, et al.2026 · 3 citations
35. 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
36. 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
37. LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Cheng Xu, Changhong Jin, Yingjie Niu, et al.2026 · 2 citations
38. BiMind: A Dual-Head Reasoning Model with Attention-Geometry Adapter for Incorrect Information DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhongxing Zhang, Emily K. Vraga, Jisu Huh, et al.2026 · 1 citation
39. 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
40. MEVER: Multi-Modal and Explainable Claim Verification with Graph-based Evidence RetrievalConference of the European Chapter of the Association for Computational Linguistics (EACL)Delvin Ce Zhang, Suhan Cui, Zhelin Chu, et al.2026 · 1 citation
41. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
42. Trajectory Signatures of Deception in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Viraaji Mothukuri, Reza M. Parizi2026 · 1 citation
43. NLP_wizard at AraGenEval shared task: Embedding-Based Classification for AI Detection and Authorship AttributionArabic Natural Language Processing Conference (ArabicNLP)Mena Hany2025 · 1 citation
44. 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
45. 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
46. 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
47. 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
48. Exons-Detect: Identifying and Amplifying Exonic Tokens via Hidden-State Discrepancy for Robust AI-Generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaowei Zhu, Yubing Ren, Fang Fang, et al.2026
49. 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
50. GigaCheck: Detecting LLM-generated Content via Object-Centric Span LocalizationFindings of the Association for Computational LinguisticsIrina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.2026
51. Mask-to-Correct+: Leveraging Retriever Diversity for Masking-guided Faithful Fact CorrectionAnnual Meeting of the Association for Computational Linguistics (ACL)Payel Santra, Lavisha Sharma, Madhusudan Ghosh, et al.2026
52. Multimodal Claim Extraction for Fact-CheckingWorkshop on Computational Approaches to Subjectivity, Sentiment and Social Media AnalysisJoycelyn Teo, Rui Cao, Zhenyun Deng, et al.2026
53. Next Reply Prediction X (NRP-X) Dataset: Linguistic Discrepancies in Naively Generated ContentShaping Multilingual, Multimodal AI for the Social Sciences and Humanities @ LRECSimon Münker, Nils Schwager, Kai Kugler, et al.2026
54. 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
55. 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
56. Leveraging AI to Bridge Classical Arabic and Modern Standard Arabic for Text SimplificationNew Horizons in Computational Linguistics for Religious TextsShatha Altammami2025

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