🧑‍🔬 Who cites Minqi Jiang

277 citations of their works from 277 papers of our library (of the 149,439 whose bibliographies we read) · 64 with a page here, the most cited first · ← Minqi Jiang

1. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,875 citations
2. FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Sewon Min, Kalpesh Krishna, Xinxi Lyu, et al.2023 · 987 citations
3. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityarXiv:2302.04023Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 882 citations
4. ChatGPT: Jack of all trades, master of nonearXiv:2302.10724 · Information Fusion 101,861 (2023)Jan Kocon, Igor Cichecki, Oliwier Kaszyca, et al.2023 · 866 citations
5. Is ChatGPT a General-Purpose Natural Language Processing Task Solver?Conference on Empirical Methods in Natural Language Processing (EMNLP)Chengwei Qin, Aston Zhang, Zhuosheng Zhang, et al.2023 · 828 citations
6. Benchmarking Large Language Models in Retrieval-Augmented GenerationProceedings of the AAAI Conference on Artificial IntelligenceJiawei Chen, Hongyu Lin, Xianpei Han, et al.2023 · 629 citations
7. A Categorical Archive of ChatGPT FailuresarXiv:2302.03494Ali Borji2023 · 559 citations
8. How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and DetectionarXiv:2301.07597Biyang Guo, Xin Zhang, Ziyuan Wang, et al.2023 · 555 citations
9. ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual LearningFindings of the Association for Computational LinguisticsViet Dac Lai, Nghia Ngo, Amir Pouran Ben Veyseh, et al.2023 · 422 citations
10. Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate SpeechACM Web Conference (WWW)Fan Huang, Haewoon Kwak, Jisun An2023 · 318 citations
11. A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future DirectionsComputational LinguisticsJunchao Wu, Shu Yang, Runzhe Zhan, et al.2025 · 277 citations
12. ChatIE: Zero-Shot Information Extraction via Chatting with ChatGPTarXiv:2302.10205Xiang Wei; Xingyu Cui; Ning Cheng; Xiaobin Wang; Xin Zhang; Shen Huang; Pengjun Xie; Jinan Xu; Yufeng Chen; Meishan Zhang; Yong Jiang;, Wenjuan Han2023 · 276 citations
13. On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A SurveyFindings of the Association for Computational LinguisticsLin Long, Rui Wang, Ruixuan Xiao, et al.2024 · 237 citations
14. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
15. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsarXiv:2308.16149Neha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 218 citations
16. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
17. A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and ValidationArtificial Intelligence ReviewXiaowei Huang, Wenjie Ruan, Wei Huang, et al.2023 · 199 citations
18. The False Promise of Imitating Proprietary LLMsarXiv:2305.15717Arnav Gudibande, Eric Wallace, Charlie Snell, et al.2023 · 182 citations
19. On the Robustness of ChatGPT: An Adversarial and Out-of-distribution PerspectivearXiv:2302.12095Jindong Wang, Xixu Hu, Wenxin Hou, et al.2023 · 176 citations
20. 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
21. Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and FaithfulnessarXiv:2304.11633Bo Li, Gexiang Fang, Yang Yang, et al.2023 · 142 citations
22. Automatically Correcting Large Language Models: Surveying the Landscape of Diverse Automated Correction StrategiesTransactions of the Association for Computational Linguistics (TACL)Liangming Pan, Michael Saxon, Wenda Xu, et al.2024 · 140 citations
23. 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
24. 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
25. Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated TextarXiv:2401.12070Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova, et al.2024 · 120 citations
26. 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
27. 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
28. FELM: Benchmarking Factuality Evaluation of Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Shiqi Chen, Yiran Zhao, Jinghan Zhang, et al.2023 · 99 citations
29. ChatGPT: Beginning of an End of Manual Linguistic Data Annotation? Use Case of Automatic Genre IdentificationarXiv:2303.03953Taja Kuzman, Igor Mozetič, Nikola Ljubešic2023 · 95 citations
30. 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
31. Phoenix: Democratizing ChatGPT across LanguagesarXiv:2304.10453Zhihong Chen, Feng Jiang, Junying Chen, et al.2023 · 68 citations
32. CIDAR: Culturally Relevant Instruction Dataset For ArabicFindings of the Association for Computational LinguisticsZaid Alyafeai, Khalid Almubarak, Ahmed Ashraf, et al.2024 · 30 citations
33. MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media TextsAnnual Meeting of the Association for Computational Linguistics (ACL)Dominik Macko, Jakub Kopál, Robert Moro, et al.2025 · 28 citations
34. Do Large Language Models have an English Accent? Evaluating and Improving the Naturalness of Multilingual LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Yanzhu Guo, Simone Conia, Zelin Zhou, et al.2025 · 25 citations
35. Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT ModelsarXiv:2306.16322Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi, et al.2023 · 25 citations
36. Time-MQA: Time Series Multi-Task Question Answering with Context EnhancementAnnual Meeting of the Association for Computational Linguistics (ACL)Yaxuan Kong, Yiyuan Yang, Yoontae Hwang, et al.2025 · 21 citations
37. Efficiently Adapting Pretrained Language Models To New LanguagesarXiv:2311.05741Zoltan Csaki, Pian Pawakapan, Urmish Thakker, et al.2023 · 21 citations
38. 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
39. Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be BetterAnnual Meeting of the Association for Computational Linguistics (ACL)Shengchao Liu, Xiaoming Liu, Yichen Wang, et al.2024 · 16 citations
40. 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
41. Is Your Paper Being Reviewed by an LLM? Investigating AI Text Detectability in Peer ReviewarXiv:2410.03019Sungduk Yu, Man Luo, Avinash Madasu, et al.2024 · 11 citations
42. Exploring the Limitations of Detecting Machine-Generated TextInternational Conference on Computational Linguistics (COLING)Jad Doughman, Osama Mohammed Afzal, Hawau Olamide Toyin, et al.2025 · 7 citations
43. The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models TextarXiv:2505.23276Maged S. Al-Shaibani, Moataz Ahmed2025 · 7 citations
44. Is Human-Like Text Liked by Humans? Multilingual Human Detection and Preference Against AIAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxia Wang, Rui Xing, Jonibek Mansurov, et al.2026 · 5 citations
45. LMSA at AraGenEval Shared Task: Ensemble-Based Detection of AI-Generated Arabic Text Using Multilingual and Arabic-Specific ModelsArabic Natural Language Processing Conference (ArabicNLP)Kaoutar Zita, Attia Nehar, Abdelkader Khelil, et al.2025 · 3 citations
46. Explaining Generalization of AI-Generated Text Detectors Through Linguistic AnalysisConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuxi Xia, Kinga Stańczak, Benjamin Roth2026 · 2 citations
47. Training AI Scientists to Replicate ResearcharXiv:2608.13331Damon Falck, Samer Sabri, Anja Surina, et al.2026 · 2 citations
48. 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
49. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data OpportunitiesWorkshop on Generation, Evaluation and Metrics (GEM)Nikita Tatarinov, Siddhant Sukhani, Agam Shah, et al.2026 · 1 citation
50. Measuring Human Contribution in AI-Assisted Content GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Yueqi Xie, Tao Qi, Jingwei Yi, et al.2026 · 1 citation
51. Spotlights and Blindspots: Evaluating Machine-Generated Text DetectionLanguage Resources and Evaluation Conference (LREC)Kevin Stowe, Kailash Patil2026 · 1 citation
52. AutoAnoEval: Semantic-Aware Model Selection via Tree-Guided LLM Reasoning for Tabular Anomaly DetectionFindings of the Association for Computational LinguisticsSuhee Yoon, Sanghyu Yoon, Ye Seul Sim, et al.2026
53. C-ReD: A Comprehensive Chinese Benchmark for AI-Generated Text Detection Derived from Real-World PromptsFindings of the Association for Computational LinguisticsChenxi Qing, Junxi Wu, Zheng Liu, et al.2026
54. CEAID: Benchmark of Multilingual Machine-Generated Text Detection Methods for Central European LanguagesFindings of the Association for Computational LinguisticsDominik Macko, Jakub Kopál2026
55. DetectRL-X: Towards Reliable Multilingual and Real-World LLM-Generated Text DetectionAnnual Meeting of the Association for Computational Linguistics (ACL)Junchao Wu, Yefeng Liu, Chenyu Zhu, et al.2026
56. 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
57. 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
58. GhostWriter: Hidden AI-Generated Texts over Multiple Languages, Domains and GeneratorsLanguage Resources and Evaluation Conference (LREC)Manuel Schaaf, Kevin Bönisch, Alexander Mehler2026
59. GigaCheck: Detecting LLM-generated Content via Object-Centric Span LocalizationFindings of the Association for Computational LinguisticsIrina Tolstykh, Aleksandra Tsybina, Sergey Yakubson, et al.2026
60. HybridCodeAuthorship: A Benchmark Dataset for Line-Level Code Authorship DetectionLanguage Resources and Evaluation Conference (LREC)Luke S. Patterson, Li Wang, Adam Faulkner2026
61. Reasoning-Aware AIGC Detection via Alignment and ReinforcementFindings of the Association for Computational LinguisticsZhao Wang, Max Xiong, Jianxun Lian, et al.2026
62. Utterance-level Detection Framework for LLM-Involved Content Detection in Conversational SettingConference of the European Chapter of the Association for Computational Linguistics (EACL)Muyang Zhou, Huaxia Rui2026
63. What Are LLMs Doing to Scientific Communication? Measuring Changes in Writing Practices and Reading ExperienceLanguage Resources and Evaluation Conference (LREC)Filip Miletić, Neele Falk2026
64. Zero-Shot Detection of LLM-Generated Text using Temperature SensitivityAnnual Meeting of the Association for Computational Linguistics (ACL)Shixuan Ma, Jiahao Li, Zhendong Mao, et al.2026

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