🧑‍🔬 Who cites Murray Shanahan

249 citations of their works from 249 papers of our library (of the 149,439 whose bibliographies we read) · 77 with a page here, the most cited first · ← Murray Shanahan

1. ReAct: Synergizing Reasoning and Acting in Language ModelsarXiv:2210.03629Shunyu Yao, Jeffrey Zhao, Dian Yu, et al.2022 · 2,591 citations
2. Relational inductive biases, deep learning, and graph networksarXiv:1806.01261Peter W. Battaglia, Jessica B. Hamrick, Victor Bapst, et al.2018 · 2,335 citations
3. Interpretable Machine Learning: Fundamental Principles and 10 Grand ChallengesarXiv:2103.11251 · Statistics Surveys, 2021Cynthia Rudin; Chaofan Chen; Zhi Chen; Haiyang Huang; Lesia Semenova;, Chudi Zhong2021 · 974 citations
4. Towards Reasoning in Large Language Models: A SurveyFindings of the Association for Computational LinguisticsJie Huang, Kevin Chen-Chuan Chang2023 · 780 citations
5. Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought PromptingConference on Neural Information Processing Systems (NeurIPS)Miles Turpin, Julian Michael, Ethan Perez, et al.2023 · 586 citations
6. 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
7. Rethinking Attention with PerformersarXiv:2009.14794Krzysztof Choromanski, Valerii Likhosherstov, David Dohan, et al.2020 · 491 citations
8. ChatDev: Communicative Agents for Software DevelopmentarXiv:2307.07924Chen Qian, Wei Liu, Hongzhang Liu, et al.2023 · 385 citations
9. Augmented Language Models: a SurveyarXiv:2302.07842Grégoire Mialon, Roberto Dessì, Maria Lomeli, et al.2023 · 369 citations
10. 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
11. Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
12. Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations
13. Measuring Faithfulness in Chain-of-Thought ReasoningarXiv:2307.13702Tamera Lanham, Anna Chen, Ansh Radhakrishnan, et al.2023 · 262 citations
14. Language Models can Solve Computer TasksConference on Neural Information Processing Systems (NeurIPS)Geunwoo Kim, Pierre Baldi, Stephen McAleer2023 · 249 citations
15. Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-ThoughtarXiv:2210.01240Abulhair Saparov, He He2022 · 244 citations
16. Prompt Injection attack against LLM-integrated ApplicationsarXiv:2306.05499Yi Liu; Gelei Deng; Yuekang Li; Kailong Wang; Zihao Wang; Xiaofeng Wang; Tianwei Zhang; Yepang Liu; Haoyu Wang; Yan Zheng; Leo Yu Zhang;, Yang Liu2023 · 208 citations
17. ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree SearchConference on Neural Information Processing Systems (NeurIPS)Dan Zhang, Sining Zhoubian, Ziniu Hu, et al.2024 · 200 citations
18. Refusal in Language Models Is Mediated by a Single DirectionarXiv:2406.11717Andy Arditi, Oscar Obeso, Aaquib Syed, et al.2024 · 196 citations
19. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsarXiv:2310.00746Zekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.2023 · 187 citations
20. Scaling Synthetic Data Creation with 1,000,000,000 PersonasarXiv:2406.20094Tao Ge, Xin Chan, Xiaoyang Wang, et al.2024 · 171 citations
21. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMsTransactions of the Association for Computational Linguistics (TACL)Ryo Kamoi, Yusen Zhang, Nan Zhang, et al.2024 · 161 citations
22. Reasoning with Language Model Prompting: A SurveyarXiv:2212.09597Shuofei Qiao, Yixin Ou, Ningyu Zhang, et al.2022 · 161 citations
23. A Roadmap to Pluralistic AlignmentarXiv:2402.05070Taylor Sorensen, Jared Moore, Jillian Fisher, et al.2024 · 143 citations
24. 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
25. 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
26. SOTOPIA: Interactive Evaluation for Social Intelligence in Language AgentsarXiv:2310.11667Xuhui Zhou, Hao Zhu, Leena Mathur, et al.2023 · 138 citations
27. Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Paul Röttger, Valentin Hofmann, Valentina Pyatkin, et al.2024 · 137 citations
28. Exploring Collaboration Mechanisms for LLM Agents: A Social Psychology ViewAnnual Meeting of the Association for Computational Linguistics (ACL)Jintian Zhang, Xin Xu, Ningyu Zhang, et al.2024 · 134 citations
29. Deductive Verification of Chain-of-Thought ReasoningConference on Neural Information Processing Systems (NeurIPS)Zhan Ling, Yunhao Fang, Xuanlin Li, et al.2023 · 130 citations
30. Natural Language Reasoning, A SurveyACM Computing SurveysFei Yu, Hongbo Zhang, Prayag Tiwari, et al.2023 · 130 citations
31. Sleeper Agents: Training Deceptive LLMs that Persist Through Safety TrainingarXiv:2401.05566Evan Hubinger, Carson Denison, Jesse Mu, et al.2024 · 123 citations
32. Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language ModelsarXiv:2501.09686Fengli Xu, Qianyue Hao, Zefang Zong, et al.2025 · 120 citations
33. From Persona to Personalization: A Survey on Role-Playing Language AgentsarXiv:2404.18231Jiangjie Chen, Xintao Wang, Rui Xu, et al.2024 · 115 citations
34. Better Zero-Shot Reasoning with Role-Play PromptingarXiv:2308.07702Aobo Kong, Shiwan Zhao, Hao Chen, et al.2023 · 109 citations
35. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
36. Studying Large Language Model Generalization with Influence FunctionsarXiv:2308.03296Roger Grosse, Juhan Bae, Cem Anil, et al.2023 · 105 citations
37. Optimizing Instructions and Demonstrations for Multi-Stage Language Model ProgramsConference on Empirical Methods in Natural Language Processing (EMNLP)Krista Opsahl-Ong, Michael J Ryan, Josh Purtell, et al.2024 · 99 citations
38. Teaching Algorithmic Reasoning via In-context LearningarXiv:2211.09066Hattie Zhou, Azade Nova, Hugo Larochelle, et al.2022 · 96 citations
39. LAMBADA: Backward Chaining for Automated Reasoning in Natural LanguageAnnual Meeting of the Association for Computational Linguistics (ACL)Mehran Kazemi, Najoung Kim, Deepti Bhatia, et al.2023 · 89 citations
40. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
41. FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yuxin Jiang, Yufei Wang, Xingshan Zeng, et al.2024 · 86 citations
42. Large Language Models are Superpositions of All Characters: Attaining Arbitrary Role-play via Self-AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Keming Lu, Bowen Yu, Chang Zhou, et al.2024 · 86 citations
43. Survey of Vulnerabilities in Large Language Models Revealed by Adversarial AttacksarXiv:2310.10844Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, et al.2023 · 83 citations
44. Systematic Biases in LLM Simulations of DebatesConference on Empirical Methods in Natural Language Processing (EMNLP)Amir Taubenfeld, Yaniv Dover, Roi Reichart, et al.2024 · 76 citations
45. Cumulative Reasoning with Large Language ModelsarXiv:2308.04371Yifan Zhang, Jingqin Yang, Yang Yuan, et al.2023 · 74 citations
46. ReCEval: Evaluating Reasoning Chains via Correctness and InformativenessConference on Empirical Methods in Natural Language Processing (EMNLP)Archiki Prasad, Swarnadeep Saha, Xiang Zhou, et al.2023 · 73 citations
47. Scaling Large Language Model-based Multi-Agent CollaborationarXiv:2406.07155Chen Qian, Zihao Xie, YiFei Wang, et al.2024 · 70 citations
48. Branch-Solve-Merge Improves Large Language Model Evaluation and GenerationarXiv:2310.15123Swarnadeep Saha, Omer Levy, Asli Celikyilmaz, et al.2023 · 68 citations
49. What Algorithms can Transformers Learn? A Study in Length GeneralizationarXiv:2310.16028Hattie Zhou, Arwen Bradley, Etai Littwin, et al.2023 · 67 citations
50. Learning From Mistakes Makes LLM Better ReasonerarXiv:2310.20689Shengnan An, Zexiong Ma, Zeqi Lin, et al.2023 · 64 citations
51. Can LLMs Learn from Previous Mistakes? Investigating LLMs' Errors to Boost for ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yongqi Tong, Dawei Li, Sizhe Wang, et al.2024 · 57 citations
52. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationarXiv:2403.05313Zihao Wang, Anji Liu, Haowei Lin, et al.2024 · 46 citations
53. Interpretable Unified Language CheckingarXiv:2304.03728Tianhua Zhang, Hongyin Luo, Yung-Sung Chuang, et al.2023 · 32 citations
54. Personalized Generation In Large Model Era: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Yiyan Xu, Jinghao Zhang, Alireza Salemi, et al.2025 · 24 citations
55. LLMs Can Simulate Standardized Patients via Agent CoevolutionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhuoyun Du, Lujie Zheng, Renjun Hu, et al.2025 · 20 citations
56. OmniThink: Expanding Knowledge Boundaries in Machine Writing through ThinkingConference on Empirical Methods in Natural Language Processing (EMNLP)Zekun Xi, Wenbiao Yin, Jizhan Fang, et al.2025 · 14 citations
57. 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
58. Synthetic Socratic Debates: Examining Persona Effects on Moral Decision and Persuasion DynamicsConference on Empirical Methods in Natural Language Processing (EMNLP)Jiarui Liu, Yueqi Song, Yunze Xiao, et al.2025 · 9 citations
59. Role-Play Paradox in Large Language Models: Reasoning Performance Gains and Ethical DilemmasarXiv:2409.13979Jinman Zhao, Zifan Qian, Linbo Cao, et al.2024 · 9 citations
60. Thinking beyond the anthropomorphic paradigm benefits LLM researchAnnual Meeting of the Association for Computational Linguistics (ACL)Lujain Ibrahim, Myra Cheng2026 · 8 citations
61. If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Siqi Fan, Xiusheng Huang, Yiqun Yao, et al.2026 · 5 citations
62. FinNLI: Novel Dataset for Multi-Genre Financial Natural Language Inference BenchmarkingFindings of the Association for Computational LinguisticsJabez Magomere, Elena Kochkina, Samuel Mensah, et al.2025 · 3 citations
63. AdaMARP: An Adaptive Multi-Agent Interaction Framework for General Immersive Role-PlayingFindings of the Association for Computational LinguisticsZhenhua Xu, Dongsheng Chen, Shuo Wang, et al.2026 · 2 citations
64. MedDCR: Learning to Design Agentic Workflows for Medical CodingFindings of the Association for Computational LinguisticsJiyang Zheng, Islam Nassar, Thanh Vu, et al.2026 · 2 citations
65. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
66. Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning ChainsFindings of the Association for Computational LinguisticsSeunghyun Park, Yuanyuan Lei2026 · 1 citation
67. Learning from Convenience Samples: A Case Study on Fine-Tuning LLMs for Survey Non-response in the German Longitudinal Election StudyarXiv:2509.25063Tobias Holtdirk, Dennis Assenmacher, Arnim Bleier, et al.2025 · 1 citation
68. BabelDOC: Better Layout-Preserving PDF Translation via Intermediate RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Qi, Xiangyao Ma, Xiao Wang, et al.2026
69. Beyond Static Persona Consistency: Dynamic Persona Coherence in LLM Role-PlayingAnnual Meeting of the Association for Computational Linguistics (ACL)Yirui QI, Xiaoming Zhang, Ruilin Zeng, et al.2026
70. Breaking the Script: Do Role-Playing Agents Maintain Goal Alignment under Distraction?Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Dongxu Lu, Albert Gatt, Johan Jeuring2026
71. Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural AlignmentAnnual Meeting of the Association for Computational Linguistics (ACL)Bryan Chen Zhengyu Tan, Zhengyuan Liu, Xiaoyuan Yi, et al.2026
72. Chameleons and Guardians: Unveiling the Divergence in Personality Plasticity and Cognitive Resistance across LLMsFindings of the Association for Computational LinguisticsJiaxin Wu, Jie Zhao, Huangxinrong, et al.2026
73. DiPS: Dialogue Policy Selection for High-Stakes Persuasion AgentsAnnual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)Tianyi Zhang, Mousumi Das, Abrar Anwar, et al.2026
74. Evaluation Drift in LLM Personality Induction: Are We Moving the Goalpost?Language Resources and Evaluation Conference (LREC)Prateek Kumar Rajput, Yewei Song, Iyiola Emmanuel Olatunji, et al.2026
75. HumanLLM: Benchmarking and Improving LLM Anthropomorphism via Human Cognitive PatternsAnnual Meeting of the Association for Computational Linguistics (ACL)Xintao Wang, Jian Yang, Weiyuan Li, et al.2026
76. Know Your Place: Diagnosing Implicit Social Adaptation Failures in Chinese Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Yu Tian, Jie Xing, Ziming Li, et al.2026
77. Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Arya Shah, Deepali Mishra, Chaklam Silpasuwanchai2026

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