🧑‍🔬 Who cites Zichen Wang

164 citations of their works from 164 papers of our library (of the 150,927 whose bibliographies we read) · 43 with a page here, the most cited first · ← Zichen Wang

1. Survey of Hallucination in Natural Language GenerationACM Computing SurveysZiwei Ji, Nayeon Lee, Rita Frieske, et al.2022 · 5,975 citations
2. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,649 citations
3. A Survey of Large Language ModelsFrontiers of Computer ScienceWayne Xin Zhao, Kun Zhou, Junyi Li, et al.2023 · 2,877 citations
4. The Rise and Potential of Large Language Model Based Agents: A SurveyScience China Information SciencesZhiheng Xi, Wenxiang Chen, Xin Guo, et al.2023 · 1,273 citations
5. 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 · 1,187 citations
6. Universal and Transferable Adversarial Attacks on Aligned Language ModelsarXiv:2307.15043Andy Zou, Zifan Wang, Nicholas Carlini, et al.2023 · 1,009 citations
7. Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language ModelsComputational LinguisticsYue Zhang, Yafu Li, Leyang Cui, et al.2023 · 977 citations
8. Large Language Models Empowered Agent-based Modeling and Simulation: A Survey and PerspectivesHumanities and Social Sciences CommunicationsChen Gao, Xiaochong Lan, Nian Li, et al.2023 · 344 citations
9. Is ChatGPT a Good NLG Evaluator? A Preliminary StudyarXiv:2303.04048Jiaan Wang, Yunlong Liang, Fandong Meng, et al.2023 · 287 citations
10. DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT ModelsConference on Neural Information Processing Systems (NeurIPS)Boxin Wang, Weixin Chen, Hengzhi Pei, et al.2023 · 261 citations
11. Large Language Models Sensitivity to The Order of Options in Multiple-Choice QuestionsFindings of the Association for Computational LinguisticsPouya Pezeshkpour, Estevam Hruschka2023 · 261 citations
12. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
13. Baseline Defenses for Adversarial Attacks Against Aligned Language ModelsarXiv:2309.00614Neel Jain, Avi Schwarzschild, Yuxin Wen, et al.2023 · 236 citations
14. Self-planning Code Generation with Large Language ModelsACM Transactions on Software Engineering and MethodologyXue Jiang, Yihong Dong, Lecheng Wang, et al.2023 · 223 citations
15. 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
16. Combating Misinformation in the Age of LLMs: Opportunities and ChallengesAI MagazineCanyu Chen, Kai Shu2023 · 214 citations
17. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
18. CultureLLM: Incorporating Cultural Differences into Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Cheng Li, Mengzhou Chen, Jindong Wang, et al.2024 · 162 citations
19. A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and TrustworthinessACM Transactions on Intelligent Systems and TechnologyFali Wang, Zhiwei Zhang, Xianren Zhang, et al.2024 · 159 citations
20. Cross-lingual Prompting: Improving Zero-shot Chain-of-Thought Reasoning across LanguagesConference on Empirical Methods in Natural Language Processing (EMNLP)Libo Qin, Qiguang Chen, Fuxuan Wei, et al.2023 · 122 citations
21. Large Language Models Understand and Can be Enhanced by Emotional StimuliarXiv:2307.11760Cheng Li, Jindong Wang, Yixuan Zhang, et al.2023 · 116 citations
22. EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt OptimizersarXiv:2309.08532Qingyan Guo, Rui Wang, Junliang Guo, et al.2023 · 112 citations
23. A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and RecommendationsConference on Empirical Methods in Natural Language Processing (EMNLP)Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, et al.2024 · 105 citations
24. AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language ModelsarXiv:2310.15140Sicheng Zhu, Ruiyi Zhang, Bang An, et al.2023 · 90 citations
25. Benchmark Data Contamination of Large Language Models: A SurveyarXiv:2406.04244Cheng Xu, Shuhao Guan, Derek Greene, et al.2024 · 85 citations
26. AudioBench: A Universal Benchmark for Audio Large Language ModelsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Bin Wang, Xunlong Zou, Geyu Lin, et al.2025 · 77 citations
27. OR-Bench: An Over-Refusal Benchmark for Large Language ModelsarXiv:2405.20947Justin Cui, Wei-Lin Chiang, Ion Stoica, et al.2024 · 76 citations
28. Resolving Knowledge Conflicts in Large Language ModelsarXiv:2310.00935Yike Wang, Shangbin Feng, Heng Wang, et al.2023 · 48 citations
29. Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction AmplificationConference on Empirical Methods in Natural Language Processing (EMNLP)Boyang Zhang, Yicong Tan, Yun Shen, et al.2025 · 29 citations
30. AraTrust: An Evaluation of Trustworthiness for LLMs in ArabicInternational Conference on Computational Linguistics (COLING)Emad A. Alghamdi, Reem I. Masoud, Deema Alnuhait, et al.2025 · 27 citations
31. Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsarXiv:2310.01651Yongshuo Zong, Tingyang Yu, Ruchika Chavhan, et al.2023 · 24 citations
32. From Selection to Generation: A Survey of LLM-based Active LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, et al.2025 · 22 citations
33. Beyond Prompt Engineering: Robust Behavior Control in LLMs via Steering Target AtomsAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ziwen Xu, Shengyu Mao, et al.2025 · 14 citations
34. CLEVA: Chinese Language Models EVAluation PlatformarXiv:2308.04813Yanyang Li, Jianqiao Zhao, Duo Zheng, et al.2023 · 11 citations
35. Give me a hint: Can LLMs take a hint to solve math problems?arXiv:2410.05915Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, et al.2024 · 6 citations
36. Harnessing Consistency for Robust Test-Time LLM EnsembleFindings of the Association for Computational LinguisticsZhichen Zeng, Qi Yu, Xiao Lin, et al.2026 · 2 citations
37. Evaluating Robustness of Large Language Models Against Multilingual Typographical ErrorsAnnual Meeting of the Association for Computational Linguistics (ACL)Raoyuan Zhao, Yihong Liu, Lena Altinger, et al.2026 · 1 citation
38. How Important is ‘Perfect' English for Machine Translation Prompts?Findings of the Association for Computational LinguisticsPatrícia Schmidtová, Niyati Bafna, Seth Aycock, et al.2026 · 1 citation
39. Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on QualityFindings of the Association for Computational LinguisticsQipeng Xie, Zi Liang, Jiafei Wu, et al.2026
40. Consistency of LLMs to Comparative Statements in Mathematical Reasoning TasksLanguage Resources and Evaluation Conference (LREC)Aidan W. San, Daniel Juyoung Son, Xiaodong Liu, et al.2026
41. From Wordle to Fibble5: Evaluating LLM Reasoning Under Escalating DeceptionWorkshop on Evaluating Evaluations (EvalEval)Chang Liu2026
42. Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-TuningAnnual Meeting of the Association for Computational Linguistics (ACL)YongKang Liu, Xingle Xu, Ercong Nie, et al.2026
43. Robustness Evaluation of ChatGPT Against Chinese Adversarial Attacks (中文对抗攻击下的ChatGPT鲁棒性评估)Journal of SoftwareYunting Zhang (张云婷), Lin Ye (叶麟), Baisong Li (李柏松), et al.2025

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