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Who cites Zhengxuan Wu

1,098 citations of their works from 814 papers of our library (of the 149,439 whose bibliographies we read) · 143 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Zhengxuan Wu

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  1. The Llama 3 Herd of ModelsarXiv:2407.21783Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, et al.2024 · 7,682 citations
  2. Judging LLM-as-a-Judge with MT-Bench and Chatbot ArenaConference on Neural Information Processing Systems (NeurIPS)Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, et al.2023 · 4,573 citations
  3. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
  4. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
  5. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsarXiv:2206.04615 · Transactions on Machine Learning Research, May/2022, https://openreview.net/forum?id=uyTL5BvosjAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,756 citations
  6. Bias and Fairness in Large Language Models: A SurveyComputational LinguisticsIsabel O. Gallegos, Ryan A. Rossi, Joe Barrow, et al.2023 · 1,082 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. Can Large Language Models Transform Computational Social Science?Computational LinguisticsCaleb Ziems, William Held, Omar Shaikh, et al.2023 · 790 citations
  9. SWE-bench: Can Language Models Resolve Real-World GitHub Issues?arXiv:2310.06770Carlos E. Jimenez, John Yang, Alexander Wettig, et al.2024 · 704 citations
  10. Chatbot Arena: An Open Platform for Evaluating LLMs by Human PreferencearXiv:2403.04132Wei-Lin Chiang, Lianmin Zheng, Ying Sheng, et al.2024 · 546 citations
  11. Unleashing the potential of prompt engineering for large language modelsarXiv:2310.14735 · Patterns 6(6) 101,260 (2025)Banghao Chen, Zhaofeng Zhang, Nicolas Langrene, et al.2023 · 536 citations
  12. Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons LearnedarXiv:2209.07858Deep Ganguli, Liane Lovitt, Jackson Kernion, et al.2022 · 485 citations
  13. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  14. Unnatural Instructions: Tuning Language Models with (Almost) No Human LaborAnnual Meeting of the Association for Computational Linguistics (ACL)Or Honovich, Thomas Scialom, Omer Levy, et al.2023 · 366 citations
  15. Challenges and Applications of Large Language ModelsarXiv:2307.10169Jean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 301 citations
  16. HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language ModelsConference on Neural Information Processing Systems (NeurIPS)Bernal Jimenez Gutierrez, Yiheng Shu, Yu Gu, et al.2024 · 268 citations
  17. A Holistic Approach to Undesired Content Detection in the Real WorldProceedings of the AAAI Conference on Artificial IntelligenceTodor Markov, Chong Zhang, Sandhini Agarwal, et al.2022 · 263 citations
  18. Humanity's Last ExamNatureLong Phan, Alice Gatti, Ziwen Han, et al.2025 · 256 citations
  19. BlenderBot 3: a deployed conversational agent that continually learns to responsibly engagearXiv:2208.03188Kurt Shuster, Jing Xu, Mojtaba Komeili, et al.2022 · 241 citations
  20. From Crowdsourced Data to High-Quality Benchmarks: Arena-Hard and BenchBuilder PipelinearXiv:2406.11939Tianle Li, Wei-Lin Chiang, Evan Frick, et al.2024 · 210 citations
  21. HateCheck: Functional Tests for Hate Speech Detection ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Bertie Vidgen, Dong Nguyen, et al.2021 · 204 citations
  22. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
  23. Making Retrieval-Augmented Language Models Robust to Irrelevant ContextarXiv:2310.01558Ori Yoran, Tomer Wolfson, Ori Ram, et al.2023 · 195 citations
  24. SemEval-2023 Task 10: Explainable Detection of Online SexismInternational Workshop on Semantic Evaluation (SemEval)Hannah Kirk, Wenjie Yin, Bertie Vidgen, et al.2023 · 185 citations
  25. Knowledge Conflicts for LLMs: A SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Rongwu Xu, Zehan Qi, Zhijiang Guo, et al.2024 · 182 citations
  26. Evaluating Large Language Models: A Comprehensive SurveyarXiv:2310.19736Zishan Guo, Renren Jin, Chuang Liu, et al.2023 · 182 citations
  27. RealTime QA: What's the Answer Right Now?Conference on Neural Information Processing Systems (NeurIPS)Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, et al.2022 · 181 citations
  28. PromptSource: An Integrated Development Environment and Repository for Natural Language PromptsarXiv:2202.01279Stephen H. Bach, Victor Sanh, Zheng-Xin Yong, et al.2022 · 174 citations
  29. Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-SpecificityarXiv:2310.07521Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, et al.2023 · 171 citations
  30. “I'm sorry to hear that”: Finding New Biases in Language Models with a Holistic Descriptor DatasetConference on Empirical Methods in Natural Language Processing (EMNLP)Eric Michael Smith, Melissa Hall, Melanie Kambadur, et al.2022 · 167 citations
  31. Measure and Improve Robustness in NLP Models: A SurveyConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xuezhi Wang, Haohan Wang, Diyi Yang2022 · 148 citations
  32. NaijaSenti: A Nigerian Twitter Sentiment Corpus for Multilingual Sentiment AnalysisLanguage Resources and Evaluation Conference (LREC)Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani, Sebastian Ruder, et al.2022 · 127 citations
  33. Rethinking Benchmark and Contamination for Language Models with Rephrased SamplesarXiv:2311.04850Shuo Yang, Wei-Lin Chiang, Lianmin Zheng, et al.2023 · 103 citations
  34. Mapping global dynamics of benchmark creation and saturation in artificial intelligenceNature CommunicationsSimon Ott, Adriano Barbosa-Silva, Kathrin Blagec, et al.2022 · 93 citations
  35. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
  36. NL-Augmenter: A Framework for Task-Sensitive Natural Language AugmentationNorthern European Journal of Language TechnologyKaustubh Dhole, Varun Gangal, Sebastian Gehrmann, et al.2023 · 86 citations
  37. The Goldilocks of Pragmatic Understanding: Fine-Tuning Strategy Matters for Implicature Resolution by LLMsConference on Neural Information Processing Systems (NeurIPS)Laura Ruis, Akbir Khan, Stella Biderman, et al.2022 · 86 citations
  38. Detoxifying Large Language Models via Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Mengru Wang, Ningyu Zhang, Ziwen Xu, et al.2024 · 84 citations
  39. ORCA: A Challenging Benchmark for Arabic Language UnderstandingFindings of the Association for Computational LinguisticsAbdelRahim Elmadany, ElMoatez Billah Nagoudi, Muhammad Abdul-Mageed2023 · 83 citations
  40. Interpretability at Scale: Identifying Causal Mechanisms in AlpacaConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.2023 · 81 citations
  41. Mission: Impossible Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Julie Kallini, Isabel Papadimitriou, Richard Futrell, et al.2024 · 70 citations
  42. Model Editing Harms General Abilities of Large Language Models: Regularization to the RescueConference on Empirical Methods in Natural Language Processing (EMNLP)Jia-Chen Gu, Hao-Xiang Xu, Jun-Yu Ma, et al.2024 · 67 citations
  43. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in ChinchillaarXiv:2307.09458Tom Lieberum, Matthew Rahtz, Janos Kramar, et al.2023 · 58 citations
  44. Personalisation within bounds: A risk taxonomy and policy framework for the alignment of large language models with personalised feedbackarXiv:2303.05453Hannah Rose Kirk, Bertie Vidgen, Paul Rottger, et al.2023 · 57 citations
  45. The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Nitay Calderon, Roi Reichart, Rotem Dror2025 · 52 citations
  46. ANLIzing the Adversarial Natural Language Inference DatasetSociety for Computation in Linguistics (SCiL)Adina Williams, Tristan Thrush, Douwe Kiela2022 · 48 citations
  47. Cross-Lingual Knowledge Editing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaan Wang, Yunlong Liang, Zengkui Sun, et al.2024 · 45 citations
  48. When does In-context Learning Fall Short and Why? A Study on Specification-Heavy TasksarXiv:2311.08993Hao Peng, Xiaozhi Wang, Jianhui Chen, et al.2023 · 42 citations
  49. Auxiliary task demands mask the capabilities of smaller language modelsarXiv:2404.02418Jennifer Hu, Michael C. Frank2024 · 41 citations
  50. Learning to Edit: Aligning LLMs with Knowledge EditingAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Chuhan Wu, et al.2024 · 39 citations
  51. CulturalBench: A Robust, Diverse and Challenging Benchmark for Measuring LMs' Cultural Knowledge Through Human-AI Red-TeamingAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Ying Chiu, Liwei Jiang, Bill Yuchen Lin, et al.2025 · 38 citations
  52. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
  53. Introducing v0.5 of the AI Safety Benchmark from MLCommonsarXiv:2404.12241Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, et al.2024 · 38 citations
  54. Benchmarking Linguistic Diversity of Large Language ModelsTransactions of the Association for Computational Linguistics (TACL)Yanzhu Guo, Guokan Shang, Chloé Clavel2025 · 32 citations
  55. Detection and Measurement of Syntactic Templates in Generated TextConference on Empirical Methods in Natural Language Processing (EMNLP)Chantal Shaib, Yanai Elazar, Junyi Jessy Li, et al.2024 · 32 citations
  56. Benchmark Self-Evolving: A Multi-Agent Framework for Dynamic LLM EvaluationInternational Conference on Computational Linguistics (COLING)Siyuan Wang, Zhuohan Long, Zhihao Fan, et al.2025 · 30 citations
  57. Knowledge Boundary of Large Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Moxin Li, Yong Zhao, Wenxuan Zhang, et al.2025 · 30 citations
  58. Rigorously Assessing Natural Language Explanations of NeuronsBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLPJing Huang, Atticus Geiger, Karel D'Oosterlinck, et al.2023 · 30 citations
  59. Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the AboveAnnual Meeting of the Association for Computational Linguistics (ACL)Nishant Balepur, Rachel Rudinger, Jordan Boyd-Graber2025 · 28 citations
  60. Separating Tongue from Thought: Activation Patching Reveals Language-Agnostic Concept Representations in TransformersAnnual Meeting of the Association for Computational Linguistics (ACL)Clément Dumas, Chris Wendler, Veniamin Veselovsky, et al.2025 · 27 citations
  61. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language ProcessingConference on Empirical Methods in Natural Language Processing (EMNLP)Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 27 citations
  62. 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
  63. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationACM Computing SurveysSteffen Eger, Yong Cao, Jennifer D'Souza, et al.2025 · 25 citations
  64. LLaVA Steering: Visual Instruction Tuning with 500x Fewer Parameters through Modality Linear Representation-SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinhe Bi, Yujun Wang, Haokun Chen, et al.2025 · 24 citations
  65. Personality Alignment of Large Language ModelsarXiv:2408.11779Minjun Zhu, Yixuan Weng, Linyi Yang, et al.2024 · 21 citations
  66. Can Large Language Models be Good Path Planners? A Benchmark and Investigation on Spatial-temporal ReasoningarXiv:2310.03249Mohamed Aghzal, Erion Plaku, Ziyu Yao2023 · 21 citations
  67. MLaKE: Multilingual Knowledge Editing Benchmark for Large Language ModelsInternational Conference on Computational Linguistics (COLING)Zihao Wei, Jingcheng Deng, Liang Pang, et al.2025 · 20 citations
  68. Locating and Editing Factual Associations in MambaarXiv:2404.03646Arnab Sen Sharma, David Atkinson, David Bau2024 · 18 citations
  69. Multilingual Knowledge Editing with Language-Agnostic Factual NeuronsInternational Conference on Computational Linguistics (COLING)Xue Zhang, Yunlong Liang, Fandong Meng, et al.2025 · 17 citations
  70. DARG: Dynamic Evaluation of Large Language Models via Adaptive Reasoning GraphConference on Neural Information Processing Systems (NeurIPS)Zhehao Zhang, Jiaao Chen, Diyi Yang2024 · 17 citations
  71. Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zeping Yu, Yonatan Belinkov, Sophia Ananiadou2025 · 16 citations
  72. MIRAGE-Bench: Automatic Multilingual Benchmark Arena for Retrieval-Augmented Generation SystemsConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Nandan Thakur, Suleman Kazi, Ge Luo, et al.2025 · 15 citations
  73. What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Li, Yanhong Li, Tianyi Zhou2025 · 15 citations
  74. Zero and Few-shot Semantic Parsing with Ambiguous InputsarXiv:2306.00824Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme2023 · 15 citations
  75. 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
  76. Causal Interventions Reveal Shared Structure Across English Filler–Gap ConstructionsSasha Boguraev, Christopher Potts, Kyle Mahowald2025 · 13 citations
  77. Enhancing Automated Interpretability with Output-Centric Feature DescriptionsAnnual Meeting of the Association for Computational Linguistics (ACL)Yoav Gur-Arieh, Roy Mayan, Chen Agassy, et al.2025 · 13 citations
  78. Are Language Models More Like Libraries or Like Librarians? Bibliotechnism, the Novel Reference Problem, and the Attitudes of LLMsTransactions of the Association for Computational Linguistics (TACL)Harvey Lederman, Kyle Mahowald2024 · 13 citations
  79. SAEs Are Good for Steering – If You Select the Right FeaturesConference on Empirical Methods in Natural Language Processing (EMNLP)Dana Arad, Aaron Mueller, Yonatan Belinkov2025 · 12 citations
  80. Calibrating Verbal Uncertainty as a Linear Feature to Reduce HallucinationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ziwei Ji, Lei Yu, Yeskendir Koishekenov, et al.2025 · 11 citations
  81. Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of RaceAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Chengzhi Mao, Valentin Hofmann, et al.2025 · 10 citations
  82. Usefulness of LLMs as an Author Checklist Assistant for Scientific Papers: NeurIPS'24 ExperimentarXiv:2411.03417Alexander Goldberg, Ihsan Ullah, Thanh Gia Hieu Khuong, et al.2024 · 10 citations
  83. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
  84. BELLE: A Bi-Level Multi-Agent Reasoning Framework for Multi-Hop Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL)Taolin Zhang, Dongyang Li, Qizhou Chen, et al.2025 · 9 citations
  85. Constructions are Revealed in Word DistributionsConference on Empirical Methods in Natural Language Processing (EMNLP)Joshua Rozner, Leonie Weissweiler, Kyle Mahowald, et al.2025 · 9 citations
  86. Revisiting Pre-trained Language Models and their Evaluation for Arabic Natural Language UnderstandingarXiv:2205.10687Abbas Ghaddar, Yimeng Wu, Sunyam Bagga, et al.2022 · 9 citations
  87. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
  88. AI use in American newspapers is widespread, uneven, and rarely disclosedAnnual Meeting of the Association for Computational Linguistics (ACL)Jenna Russell, Marzena Karpinska, Destiny Akinode, et al.2026 · 7 citations
  89. Localized Cultural Knowledge is Conserved and Controllable in Large Language ModelsFindings of the Association for Computational LinguisticsVeniamin Veselovsky, Berke Argın, Benedikt Stroebl, et al.2026 · 7 citations
  90. The Quest for the Right Mediator: Surveying Mechanistic Interpretability for NLP Through the Lens of Causal Mediation AnalysisComputational LinguisticsAaron Mueller, Jannik Brinkmann, Millicent Li, et al.2026 · 7 citations
  91. Cancer-Myth: Evaluating Large Language Models on Patient Questions with False PresuppositionsarXiv:2504.11373Wang Bill Zhu, Tianqi Chen, Xinyan Velocity Yu, et al.2025 · 7 citations
  92. The Arabic AI Fingerprint: Stylometric Analysis and Detection of Large Language Models TextarXiv:2505.23276Maged S. Al-Shaibani, Moataz Ahmed2025 · 7 citations
  93. All for One: LLMs Solve Mental Math at the Last Token With Information Transferred From Other TokensConference on Empirical Methods in Natural Language Processing (EMNLP)Siddarth Mamidanna, Daking Rai, Ziyu Yao, et al.2025 · 6 citations
  94. Towards Context-Robust LLMs: A Gated Representation Fine-tuning ApproachAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Pengfei He, Kai Guo, et al.2025 · 5 citations
  95. Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge InjectionAnnual Meeting of the Association for Computational Linguistics (ACL)Yuwei Zhang, Wenhao Yu, Shangbin Feng, et al.2026 · 4 citations
  96. BILLY: Steering Large Language Models via Merging Persona Vectors for Creative GenerationConference of the European Chapter of the Association for Computational Linguistics (EACL)Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, et al.2026 · 4 citations
  97. Exploring the Structure of AI-Induced Language Change in Scientific EnglisharXiv:2506.21817 · The International FLAIRS Conference Proceedings (Vol. 38), 2025Riley Galpin, Bryce Anderson, Tom S. Juzek2025 · 4 citations
  98. Mechanisms vs. Outcomes: Probing for Syntax Fails to Explain Performance on Targeted Syntactic EvaluationsConference on Empirical Methods in Natural Language Processing (EMNLP)Ananth Agarwal, Jasper Jian, Christopher D Manning, et al.2025 · 4 citations
  99. 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
  100. Which Spurious Correlations Impact Reasoning in NLI Models? A Visual Interactive Diagnosis through Data-Constrained CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Robin Chan, Afra Amini, Mennatallah El-Assady2023 · 4 citations

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