🧑‍🔬 Who cites Eric Wu

117 citations of their works from 117 papers of our library (of the 149,439 whose bibliographies we read) · 26 with a page here, the most cited first · ← Eric Wu

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. DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability CurvaturearXiv:2301.11305Eric Mitchell, Yoonho Lee, Alexander Khazatsky, et al.2023 · 481 citations
3. Can AI-Generated Text be Reliably Detected?arXiv:2303.11156Vinu Sankar Sadasivan, Aounon Kumar, Sriram Balasubramanian, et al.2023 · 306 citations
4. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
5. 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
6. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
7. 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
8. 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
9. 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
10. 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
11. Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QAConference on Empirical Methods in Natural Language Processing (EMNLP)Minzheng Wang, Longze Chen, Fu Cheng, et al.2024 · 72 citations
12. Artificial Intelligence Bias on English Language Learners in Automatic ScoringLecture notes in computer scienceShuchen Guo, Yun Wang, Jichao Yu, et al.2025 · 15 citations
13. A Reality Check on Context Utilisation for Retrieval-Augmented GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Lovisa Hagström, Sara Vera Marjanovic, Haeun Yu, et al.2025 · 13 citations
14. GenAI Content Detection Task 2: AI vs. Human – Academic Essay Authenticity Challenge1stWorkshop on GenAI Content Detection (GenAIDetect)Shammur Absar Chowdhury, Hind Almerekhi, Mucahid Kutlu, et al.2025 · 12 citations
15. Parenting: Optimizing Knowledge Selection of Retrieval-Augmented Language Models with Parameter Decoupling and Tailored TuningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongxin Xu, Ruizhe Zhang, Xinke Jiang, et al.2025 · 9 citations
16. Insight Over Sight: Exploring the Vision-Knowledge Conflicts in Multimodal LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiaoyuan Liu, Wenxuan Wang, Youliang Yuan, et al.2025 · 6 citations
17. Trans-EnV: A Framework for Evaluating the Linguistic Robustness of LLMs Against English VarietiesConference on Neural Information Processing Systems (NeurIPS)Jiyoung Lee, Seungho Kim, Jieun Han, et al.2025 · 3 citations
18. Position: LLM Watermarking Should Align Stakeholders' Incentives for Practical AdoptionFindings of the Association for Computational LinguisticsYepeng Liu, Xuandong Zhao, Dawn Song, et al.2026 · 2 citations
19. IntegrityAI at GenAI Detection Task 2: Detecting Machine-Generated Academic Essays in English and Arabic Using ELECTRA and Stylometry1stWorkshop on GenAI Content Detection (GenAIDetect)Mohammad AL-Smadi2025 · 2 citations
20. Context-Fidelity Boosting: Enhancing Faithful Generation through Watermark-Inspired DecodingFindings of the Association for Computational LinguisticsWeixu Zhang, Fanghua Ye, Qiang Gao, et al.2026 · 1 citation
21. Identifying Bias in Machine-generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Kevin Stowe, Svetlana Afanaseva, Rodolfo C. Raimundo, et al.2026 · 1 citation
22. Topic-Based Watermarks for Large Language ModelsFindings of the Association for Computational LinguisticsAlexander Nemecek, Yuzhou Jiang, Erman Ayday2026 · 1 citation
23. Concept rather than Document: Context Compression via AMR-based Conceptual EntropyFindings of the Association for Computational LinguisticsKaize Shi, Xueyao Sun, Xiaohui Tao, et al.2026
24. CRiT-QA: Evaluating Multi-hop Reasoning with Counterfactual Chains and Distractor TrapsLanguage Resources and Evaluation Conference (LREC)Jungmin Yun, June Hyoung Kwon, Youngbin Kim2026
25. Stylistic Transfer from Annotator Communities to Large Language ModelsWorkshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature (LaTeCH-CLfL)Jay Chooi2026
26. SURGELLM: Rethinking Multi-Task Evaluation through Task-Aware Feature Gating with Class-Balanced NormalizationWorkshop on Trustworthy NLPNoor Islam S. Mohammad, Ulug Bayazit2026

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