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Who cites Arthur Conmy

697 citations of their works from 538 papers of our library (of the 149,439 whose bibliographies we read) · 132 with a page here, the most cited first · page 1 of 2 · 1–100 · ← Arthur Conmy

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  1. Representation Engineering: A Top-Down Approach to AI TransparencyarXiv:2310.01405Andy Zou, Long Phan, Sarah Chen, et al.2023 · 397 citations
  2. TrustLLM: Trustworthiness in Large Language ModelsarXiv:2401.05561Yue Huang, Lichao Sun, Haoran Wang, et al.2024 · 237 citations
  3. Progress measures for grokking via mechanistic interpretabilityarXiv:2301.05217Neel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 228 citations
  4. Eliciting Latent Predictions from Transformers with the Tuned LensarXiv:2303.08112Nora Belrose, Igor Ostrovsky, Lev McKinney, et al.2023 · 188 citations
  5. AI Alignment: A Comprehensive SurveyarXiv:2310.19852Jiaming Ji, Tianyi Qiu, Boyuan Chen, et al.2023 · 173 citations
  6. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelConference on Neural Information Processing Systems (NeurIPS)Michael Hanna, Ollie Liu, Alexandre Variengien2023 · 151 citations
  7. PMET: Precise Model Editing in a TransformerProceedings of the AAAI Conference on Artificial IntelligenceXiaopeng Li; Shasha Li; Shezheng Song; Jing Yang; Jun Ma;, Jie Yu2023 · 135 citations
  8. The WMDP Benchmark: Measuring and Reducing Malicious Use With UnlearningarXiv:2403.03218Nathaniel Li, Alexander Pan, Anjali Gopal, et al.2024 · 127 citations
  9. Function Vectors in Large Language ModelsarXiv:2310.15213Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.2023 · 127 citations
  10. Large Language Model Alignment: A SurveyarXiv:2309.15025Tianhao Shen, Renren Jin, Yufei Huang, et al.2023 · 124 citations
  11. Finding Neurons in a Haystack: Case Studies with Sparse ProbingarXiv:2305.01610Wes Gurnee, Neel Nanda, Matthew Pauly, et al.2023 · 123 citations
  12. The Alignment Problem from a Deep Learning PerspectivearXiv:2209.00626Richard Ngo, Lawrence Chan, Soren Mindermann2022 · 121 citations
  13. Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2arXiv:2408.05147Tom Lieberum, Senthooran Rajamanoharan, Arthur Conmy, et al.2024 · 115 citations
  14. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
  15. Reasoning Models Don't Always Say What They ThinkarXiv:2505.05410Yanda Chen, Joe Benton, Ansh Radhakrishnan, et al.2025 · 106 citations
  16. Towards Best Practices of Activation Patching in Language Models: Metrics and MethodsarXiv:2309.16042Fred Zhang, Neel Nanda2023 · 97 citations
  17. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
  18. Rethinking Interpretability in the Era of Large Language ModelsarXiv:2402.01761Chandan Singh, Jeevana Priya Inala, Michel Galley, et al.2024 · 87 citations
  19. Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language ModelsarXiv:2401.06102Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.2024 · 84 citations
  20. Finding Alignments Between Interpretable Causal Variables and Distributed Neural RepresentationsarXiv:2303.02536Atticus Geiger, Zhengxuan Wu, Christopher Potts, et al.2023 · 81 citations
  21. 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
  22. Localizing Model Behavior with Path PatchingarXiv:2304.05969Nicholas Goldowsky-Dill, Chris MacLeod, Lucas Sato, et al.2023 · 76 citations
  23. ReFT: Representation Finetuning for Language ModelsConference on Neural Information Processing Systems (NeurIPS)Zhengxuan Wu, Aryaman Arora, Zheng Wang, et al.2024 · 74 citations
  24. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
  25. A Comprehensive Survey on Long Context Language ModelingarXiv:2503.17407Jiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.2025 · 64 citations
  26. Phi-4-reasoning Technical ReportarXiv:2504.21318Marah Abdin, Sahaj Agarwal, Ahmed Awadallah, et al.2025 · 64 citations
  27. Linear Representations of Sentiment in Large Language ModelsarXiv:2310.15154Curt Tigges, Oskar John Hollinsworth, Atticus Geiger, et al.2023 · 64 citations
  28. Llama Scope: Extracting Millions of Features from Llama-3.1-8B with Sparse AutoencodersarXiv:2410.20526Zhengfu He, Wentao Shu, Xuyang Ge, et al.2024 · 63 citations
  29. Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in ChinchillaarXiv:2307.09458Tom Lieberum, Matthew Rahtz, Janos Kramar, et al.2023 · 58 citations
  30. A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
  31. Hopping Too Late: Exploring the Limitations of Large Language Models on Multi-Hop QueriesConference on Empirical Methods in Natural Language Processing (EMNLP)Eden Biran, Daniela Gottesman, Sohee Yang, et al.2024 · 55 citations
  32. Arithmetic Without Algorithms: Language Models Solve Math With a Bag of HeuristicsarXiv:2410.21272Yaniv Nikankin, Anja Reusch, Aaron Mueller, et al.2024 · 51 citations
  33. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
  34. CausalGym: Benchmarking causal interpretability methods on linguistic tasksAnnual Meeting of the Association for Computational Linguistics (ACL)Aryaman Arora, Dan Jurafsky, Christopher Potts2024 · 38 citations
  35. Dynamic Cheatsheet: Test-Time Learning with Adaptive MemoryConference of the European Chapter of the Association for Computational Linguistics (EACL)Mirac Suzgun, Mert Yuksekgonul, Federico Bianchi, et al.2026 · 37 citations
  36. Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Mingyang Wang, Heike Adel, Lukas Lange, et al.2025 · 31 citations
  37. 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
  38. The Quantization Model of Neural ScalingarXiv:2303.13506Eric J. Michaud, Ziming Liu, Uzay Girit, et al.2023 · 30 citations
  39. Beyond English-Centric LLMs: What Language Do Multilingual Language Models Think in?arXiv:2408.10811Chengzhi Zhong, Fei Cheng, Qianying Liu, et al.2024 · 24 citations
  40. Competition of Mechanisms: Tracing How Language Models Handle Facts and CounterfactualsAnnual Meeting of the Association for Computational Linguistics (ACL)Francesco Ortu, Zhijing Jin, Diego Doimo, et al.2024 · 23 citations
  41. Scaling Latent Reasoning via Looped Language ModelsarXiv:2510.25741Rui-Jie Zhu, Zixuan Wang, Kai Hua, et al.2025 · 22 citations
  42. Language Models as Models of LanguagearXiv:2408.07144Raphael Milliere2024 · 21 citations
  43. Unveiling Language-Specific Features in Large Language Models via Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Boyi Deng, Yu Wan, Baosong Yang, et al.2025 · 18 citations
  44. Locating and Editing Factual Associations in MambaarXiv:2404.03646Arnab Sen Sharma, David Atkinson, David Bau2024 · 18 citations
  45. 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
  46. A Survey on Latent ReasoningarXiv:2507.06203Rui-Jie Zhu, Tianhao Peng, Tianhao Cheng, et al.2025 · 15 citations
  47. Measuring Chain of Thought Faithfulness by Unlearning Reasoning StepsConference on Empirical Methods in Natural Language Processing (EMNLP)Martin Tutek, Fateme Hashemi Chaleshtori, Ana Marasovic, et al.2025 · 15 citations
  48. 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
  49. Causal Interventions Reveal Shared Structure Across English Filler–Gap ConstructionsSasha Boguraev, Christopher Potts, Kyle Mahowald2025 · 13 citations
  50. 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
  51. Personalized Text Generation with Contrastive Activation SteeringAnnual Meeting of the Association for Computational Linguistics (ACL)Jinghao Zhang, Yuting Liu, Wenjie Wang, et al.2025 · 13 citations
  52. 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
  53. Feature Extraction and Steering for Enhanced Chain-of-Thought Reasoning in Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Zihao Li, Xu Wang, Yuzhe Yang, et al.2025 · 11 citations
  54. Route Sparse Autoencoder to Interpret Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wei Shi, Sihang Li, Tao Liang, et al.2025 · 11 citations
  55. 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
  56. 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
  57. Circuit Compositions: Exploring Modular Structures in Transformer-Based Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Philipp Mondorf, Sondre Wold, Barbara Plank2025 · 8 citations
  58. Model Unlearning via Sparse Autoencoder Subspace Guided ProjectionsConference on Empirical Methods in Natural Language Processing (EMNLP)Xu Wang, Zihao Li, Benyou Wang, et al.2025 · 8 citations
  59. Unveiling Language Competence Neurons: A Psycholinguistic Approach to Model InterpretabilityInternational Conference on Computational Linguistics (COLING)Xufeng Duan, Xinyu Zhou, Bei Xiao, et al.2025 · 8 citations
  60. Improving Language Models Trained on Translated Data with Continual Pre-Training and Dictionary Learning AnalysisArabic Natural Language Processing Conference (ArabicNLP)Sabri Boughorbel, Md Rizwan Parvez, Majd Hawasly2024 · 8 citations
  61. A Comprehensive Evaluation of Multilingual Chain-of-Thought Reasoning: Performance, Consistency, and Faithfulness Across LanguagesFindings of the Association for Computational LinguisticsRaoyuan Zhao, Yihong Liu, Hinrich Schuetze, et al.2026 · 7 citations
  62. 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
  63. Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMsConference on Empirical Methods in Natural Language Processing (EMNLP)Zhipeng Yang, Junzhuo Li, Siyu Xia, et al.2025 · 7 citations
  64. 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
  65. The Validation Gap: A Mechanistic Analysis of How Language Models Compute Arithmetic but Fail to Validate ItConference on Empirical Methods in Natural Language Processing (EMNLP)Leonardo Bertolazzi, Philipp Mondorf, Barbara Plank, et al.2025 · 6 citations
  66. Is Chain-of-Thought Really Not Explainability? Chain-of-Thought Can Be Faithful without Hint VerbalizationAnnual Meeting of the Association for Computational Linguistics (ACL)Kerem Zaman, Shashank Srivastava2026 · 5 citations
  67. KnowRL: Exploring Knowledgeable Reinforcement Learning for FactualityAnnual Meeting of the Association for Computational Linguistics (ACL)Baochang Ren, Shuofei Qiao, Ningyu Zhang, et al.2026 · 5 citations
  68. Analysing Chain of Thought Dynamics: Active Guidance or Unfaithful Post-hoc Rationalisation?Conference on Empirical Methods in Natural Language Processing (EMNLP)Samuel Lewis-Lim, Xingwei Tan, Zhixue Zhao, et al.2025 · 5 citations
  69. Denoising Concept Vectors with Sparse Autoencoders for Improved Language Model SteeringFindings of the Association for Computational LinguisticsHaiyan Zhao, Xuansheng Wu, Fan Yang, et al.2026 · 3 citations
  70. Qwen-Scope: Turning Sparse Features into Development Tools for Large Language ModelsarXiv:2605.11887Boyi Deng, Xu Wang, Yaoning Wang, et al.2026 · 3 citations
  71. Steering Large Language Models for Machine Translation PersonalizationConference of the European Chapter of the Association for Computational Linguistics (EACL)Daniel Scalena, Gabriele Sarti, Arianna Bisazza, et al.2026 · 3 citations
  72. Universal Jailbreak Suffixes Are Strong Attention HijackersTransactions of the Association for Computational Linguistics (TACL)Matan Ben-Tov, Mor Geva, Mahmood Sharif2026 · 3 citations
  73. AutoMonitor-Bench: Evaluating the Reliability of LLM-Based Misbehavior MonitorFindings of the Association for Computational LinguisticsShu Yang, Jingyu Hu, Tong Li, et al.2026 · 2 citations
  74. C2-Faith: Benchmarking LLM Judges for Causal and Coverage Faithfulness in Chain-of-Thought ReasoningWorkshop on Generation, Evaluation and Metrics (GEM)Avni Mittal, Rauno Arike2026 · 2 citations
  75. Do LLMs Encode Functional Importance of Reasoning Tokens ?Annual Meeting of the Association for Computational Linguistics (ACL)Janvijay Singh, Dilek Hakkani-Tür2026 · 2 citations
  76. LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness SignalsAnnual Meeting of the Association for Computational Linguistics (ACL)Lihao Sun, Hang Dong, Bo Qiao, et al.2026 · 2 citations
  77. Mechanisms of Prompt-Induced Hallucination in Vision–Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)William Rudman, Michal Golovanevsky, Dana Arad, et al.2026 · 2 citations
  78. SAE-FiRE: Enhancing Earnings Surprise Predictions Through Sparse Autoencoder Feature SelectionFindings of the Association for Computational LinguisticsHuopu Zhang, Yanguang Liu, Miao Zhang, et al.2026 · 2 citations
  79. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation FrameworkFindings of the Association for Computational LinguisticsJiaqi Weng, Han Zheng, Hanyu Zhang, et al.2026 · 2 citations
  80. Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage ProfessionalsCHI Conference on Human Factors in Computing SystemsLucy Havens, Benjamin Bach, Melissa Terras, et al.2025 · 2 citations
  81. A Comprehensive Evaluation of Chain-of-Thought Faithfulness in Persian Classification TasksWorkshop on Language Models for Low-Resource LanguagesShakib Yazdani, Cristina España-Bonet, Eleftherios Avramidis, et al.2026 · 1 citation
  82. Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace DiagnosticsAnnual Meeting of the Association for Computational Linguistics (ACL)Ibne Farabi Shihab, Sanjeda Akter, Anuj Sharma2026 · 1 citation
  83. Constructing Interpretable Features from Compositional Neuron GroupsAnnual Meeting of the Association for Computational Linguistics (ACL)Or David Shafran, Atticus Geiger, Mor Geva2026 · 1 citation
  84. Deciphering Cultural Representations in Large Language Models via Sparse AutoencodersFindings of the Association for Computational LinguisticsChenye Zou, Difan Jiao, Lijie Hu2026 · 1 citation
  85. From Weights to Activations: Is Steering the Next Frontier of Adaptation?Annual Meeting of the Association for Computational Linguistics (ACL)Simon Ostermann, Daniil Gurgurov, Tanja Baeumel, et al.2026 · 1 citation
  86. Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse AutoencodersAnnual Meeting of the Association for Computational Linguistics (ACL)Xiangchen Song, Aashiq Muhamed, Yujia Zheng, et al.2026 · 1 citation
  87. Multi-component Causal Tracing in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Yan, Dennis Wei, Dmitriy A Katz, et al.2026 · 1 citation
  88. SPD-Faith Bench: Diagnosing and Improving Faithfulness in Chain-of-Thought for Multimodal Large Language ModelsFindings of the Association for Computational LinguisticsWeijiang Lv, Yaoxuan Feng, Xiaobo Xia, et al.2026 · 1 citation
  89. Start Making Sense(s): A Developmental Probe of Attention Specialization Using Lexical AmbiguityTransactions of the Association for Computational Linguistics (TACL)Pamela D. Rivière, Sean Trott2026 · 1 citation
  90. Tug-of-war between idioms' figurative and literal interpretations in LLMsConference of the European Chapter of the Association for Computational Linguistics (EACL)Soyoung Oh, Xinting Huang, Mathis Pink, et al.2026 · 1 citation
  91. Understanding and Mitigating Political Stance Cross-topic Generalization in Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Jiayi Zhang, Shu Yang, Junchao Wu, et al.2026 · 1 citation
  92. When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Yang Xiang, Yixin Ji, Ruotao Xu, et al.2026 · 1 citation
  93. 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
  94. AdaptiveK: Complexity-Driven Sparse Autoencoders for Interpretable Language Model RepresentationsFindings of the Association for Computational LinguisticsYifei Yao, Hanrong Zhang, Mengnan Du2026
  95. Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Shenglai Zeng, Tianqi Zheng, Chuan Tian, et al.2026
  96. Beyond Cross-Modal Alignment: Measuring and Leveraging Modality Gap in Vision-Language ModelsFindings of the Association for Computational LinguisticsHanqi Yan, Xiangxiang Cui, Lu Yin, et al.2026
  97. Beyond the Token: Correcting the Tokenization Bias in XAI via Morphologically-Aligned ProjectionWorkshop Natural Language Processing for Turkic LanguagesMuhammet Anil Yagiz, Fahrettin Horasan2026
  98. Bridging Linguistic Structure and Mechanistic Interpretability for Conceptual Interpretation in Language ModelsConference on Computational Natural Language Learning (CoNLL)Nura Aljaafari, Danilo Carvalho, Andre Freitas2026
  99. Difference in Task Performance on Sparse Speech RepresentationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenjie Peng, Chen Chen, Thomas Hain2026
  100. DKME: Rethinking Coupled Knowledge Memory for Lifelong Model Editing of Large Language ModelsFindings of the Association for Computational LinguisticsGuanyu Zheng, Wang Zhenyu, He Tingting, et al.2026

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