🧑‍🔬 Who cites Vinu Sankar Sadasivan

153 citations of their works from 153 papers of our library (of the 149,439 whose bibliographies we read) · 34 with a page here, the most cited first · ← Vinu Sankar Sadasivan

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. 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
9. 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
10. 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
11. 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
12. 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
13. 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
14. 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
15. GPT detectors are biased against non-native English writersarXiv:2304.02819Weixin Liang, Mert Yuksekgonul, Yining Mao, et al.2023 · 110 citations
16. 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
17. 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
18. 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
19. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
20. 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
21. Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement LearningConference on Empirical Methods in Natural Language Processing (EMNLP)Wenbin Hu, Haoran Li, Huihao Jing, et al.2025 · 7 citations
22. Logging Keystrokes in Writing by English LearnersLanguage Resources and Evaluation Conference (LREC)Georgios Velentzas, Andrew Caines, Rita Borgo, et al.2024 · 7 citations
23. 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
24. 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
25. 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
26. 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
27. 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
28. Afrispeech Semantics: Evaluating Audio–Semantic Reasoning in Spoken Language Models Across Domains and AccentsFindings of the Association for Computational LinguisticsChibuzor Okocha, Christan Grant2026
29. 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
30. No Innocence in Styling: Discovery of Privacy Protection Capabilities and Security Risks in Consumer Generative AI Writing AssistantsAnnual Meeting of the Association for Computational Linguistics (ACL)Mohd. Farhan Israk Soumik, Syed Mhamudul Hasan, Wanniarachchi Kankanamge Malithi Mithsara, et al.2026
31. 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
32. 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
33. 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
34. 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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