🧑‍🔬 Who cites Eric Todd

128 citations of their works from 126 papers of our library (of the 149,439 whose bibliographies we read) · 28 with a page here, the most cited first · ← Eric Todd

1. The Linear Representation Hypothesis and the Geometry of Large Language ModelsInternational Conference on Machine Learning (ICML)Kiho Park, Yo Joong Choe, Victor Veitch2023 · 165 citations
2. Quiet-STaR: Language models can teach themselves to think before speaking2024 · 122 citations
3. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
4. Foundational Challenges in Assuring Alignment and Safety of Large Language ModelsarXiv:2404.09932Usman Anwar, Abulhair Saparov, Javier Rando, et al.2024 · 87 citations
5. Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank ModificationsarXiv:2402.05162Boyi Wei, Kaixuan Huang, Yangsibo Huang, et al.2024 · 66 citations
6. A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and ToxicityarXiv:2401.01967Andrew Lee, Xiaoyan Bai, Itamar Pres, et al.2024 · 64 citations
7. Information Flow Routes: Automatically Interpreting Language Models at ScaleConference on Empirical Methods in Natural Language Processing (EMNLP)Javier Ferrando, Elena Voita2024 · 43 citations
8. 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
9. Locating and Editing Factual Associations in MambaarXiv:2404.03646Arnab Sen Sharma, David Atkinson, David Bau2024 · 18 citations
10. 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
11. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Xiaofeng Zhang, Yihao Quan, Chen Shen, et al.2025 · 12 citations
12. Chatting with Bots: AI, Speech Acts, and the Edge of AssertionInquiry (2024)Iwan Williams, Tim Bayne2024 · 12 citations
13. Paths Not Taken: Understanding and Mending the Multilingual Factual Recall PipelineConference on Empirical Methods in Natural Language Processing (EMNLP)Meng Lu, Ruochen Zhang, Carsten Eickhoff, et al.2025 · 9 citations
14. 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
15. 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
16. LED-Merging: Mitigating Safety-Utility Conflicts in Model Merging with Location-Election-DisjointAnnual Meeting of the Association for Computational Linguistics (ACL)Qianli Ma, Dongrui Liu, Qian Chen, et al.2025 · 5 citations
17. 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
18. 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
19. One Task Vector is not Enough: A Large-Scale Study for In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina2026 · 1 citation
20. Vocab Diet: Reshaping the Vocabulary of LLMs via Vector ArithmeticFindings of the Association for Computational LinguisticsYuval Reif, Guy Kaplan, Roy Schwartz2026 · 1 citation
21. Beyond Task-Level Context: Class-Conditional Context Vectors for Implicit In-Context LearningFindings of the Association for Computational LinguisticsJianxin Zhang, Yilu Hu, Teng Liu, et al.2026
22. Evaluating the Impact of SAE-based Language Steering on LLM PerformanceConference of the European Chapter of the Association for Computational Linguistics (EACL)Sebastian Zwirner, Wentao Hu, Koshiro Aoki, et al.2026
23. From Isolation to Entanglement: When Do Interpretability Methods Identify and Disentangle Known Concepts?Annual Meeting of the Association for Computational Linguistics (ACL)Aaron Mueller, Andrew Lee, Shruti Joshi, et al.2026
24. On the Additive Compositionality of Task Vectors in Vision–Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yuting Shi, Houjing Wei, Naoya Inoue2026
25. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
26. Tracing Relational Knowledge Recall in Large Language ModelsFindings of the Association for Computational LinguisticsNicholas Popovič, Michael Färber2026
27. Two Pathways to Truthfulness: On the Intrinsic Encoding of LLM HallucinationsAnnual Meeting of the Association for Computational Linguistics (ACL)Wen Luo, Guangyue Peng, Wei Li, et al.2026
28. Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid ArchitecturesFindings of the Association for Computational LinguisticsShenran Wang, Timothy Tin-Long Tse, Jian Zhu2026

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