🧑‍🔬 Who cites Wenxiao Wang

171 citations of their works from 171 papers of our library (of the 149,439 whose bibliographies we read) · 37 with a page here, the most cited first · ← Wenxiao Wang

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 Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 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. Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defenseConference on Neural Information Processing Systems (NeurIPS)Kalpesh Krishna, Yixiao Song, Marzena Karpinska, et al.2023 · 310 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. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
8. Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' AlignmentarXiv:2308.05374Yang Liu; Yuanshun Yao; Jean-Francois Ton; Xiaoying Zhang; Ruocheng Guo; Hao Cheng; Yegor Klochkov; Muhammad Faaiz Taufiq;, Hang Li2023 · 223 citations
9. On the Risk of Misinformation Pollution with Large Language ModelsFindings of the Association for Computational LinguisticsYikang Pan, Liangming Pan, Wenhu Chen, et al.2023 · 179 citations
10. 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
11. 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
12. 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
13. Artificial Artificial Artificial Intelligence: Crowd Workers Widely Use Large Language Models for Text Production TasksarXiv:2306.07899Veniamin Veselovsky, Manoel Horta Ribeiro, Robert West2023 · 127 citations
14. 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
15. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsAnnual Meeting of the Association for Computational Linguistics (ACL)Liam Dugan, Alyssa Hwang, Filip Trhlík, et al.2024 · 110 citations
16. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
17. Who Wrote this Code? Watermarking for Code GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Taehyun Lee, Seokhee Hong, Jaewoo Ahn, et al.2024 · 103 citations
18. Intrinsic Dimension Estimation for Robust Detection of AI-Generated TextsConference on Neural Information Processing Systems (NeurIPS)Eduard Tulchinskii, Kristian Kuznetsov, Laida Kushnareva, et al.2023 · 79 citations
19. Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of PrivacyInternational Natural Language Generation Conference (INLG)Daphne Ippolito, Florian Tramer, Milad Nasr, et al.2023 · 68 citations
20. People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated textAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Mohit Iyyer2025 · 33 citations
21. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
22. Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScoreInternational Conference on Computational Linguistics (COLING)Junchao Wu, Runzhe Zhan, Derek F. Wong, et al.2025 · 17 citations
23. Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 14 citations
24. Logging Keystrokes in Writing by English LearnersLanguage Resources and Evaluation Conference (LREC)Georgios Velentzas, Andrew Caines, Rita Borgo, et al.2024 · 7 citations
25. Entailed Between the Lines: Incorporating Implication into NLIAnnual Meeting of the Association for Computational Linguistics (ACL)Shreya Havaldar, Hamidreza Alvari, John Palowitch, et al.2025 · 6 citations
26. Model Misalignment and Language Change: Traces of AI-Associated Language in Unscripted Spoken EnglishProceedings of the AAAI/ACM Conference on AI Ethics and SocietyBryce Anderson, Riley Galpin, Tom S. Juzek2025 · 4 citations
27. ART: Attention Replacement Technique to Improve Factuality in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Ziqin Luo, Yihao Quan, Xiaofeng Zhang, et al.2026 · 1 citation
28. DAMASHA: Detecting AI in Mixed Adversarial Texts via Segmentation with Human-interpretable AttributionFindings of the Association for Computational LinguisticsL. D. M. S. Sai Teja, N. Siva Gopala Krishna, Ufaq Khan, et al.2026 · 1 citation
29. Diffusion-CAM: Faithful Visual Explanations for dMLLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Haomin Zuo, Yidi Li, Luoxiao Yang, et al.2026 · 1 citation
30. EchoVLM: Dynamic Mixture-of-Experts Vision-Language Model for Universal Ultrasound IntelligenceAnnual Meeting of the Association for Computational Linguistics (ACL)Chaoyin She, Ruifang Lu, Lida Chen, et al.2026 · 1 citation
31. Frankentext: Stitching random text fragments into long-form narrativesAnnual Meeting of the Association for Computational Linguistics (ACL)Chau Minh Pham, Jenna Russell, Dzung Pham, et al.2026 · 1 citation
32. CUET-NLP_Team_SS306 at AraGenEval Shared Task: A Transformer-based Framework for Detecting AI-Generated Arabic TextArabic Natural Language Processing Conference (ArabicNLP)Sowrav Nath, Shadman Saleh, Kawsar Ahmed, et al.2025 · 1 citation
33. EntroBench: Evaluating LLM Watermarking Under Multi-Entropy Scenarios and Practical User OperationsFindings of the Association for Computational LinguisticsPengyuan Qin, Linnan Tu, Yuhan Ke, et al.2026
34. Observations and Remedies for Large Language Model Bias in Self-Consuming Performative LoopAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Wang, Zhongteng Cai, Yujia Bao, et al.2026
35. R.U.Psycho? A Framework for Robust Unified Psychometric Testing of Language ModelsLanguage Resources and Evaluation Conference (LREC)Julian Schelb, Orr Borin, David Garcia, et al.2026
36. Segmentation Fault at SemEval-2026 Task 13: A Regularization-First Approach with Generator-Based Out-of-Distribution Splits for Detecting AI-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Lakshmi Priya Swaminatha Rao, Dhannya Santhakumari Madhavan, Sreya Kodeswaran, et al.2026
37. The Mark Fades: Adaptive Evolutionary Paraphrase-based Attack against LLM WatermarksFindings of the Association for Computational LinguisticsYusheng Zhao, Jian Zhao, Tianle Zhang, et al.2026

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