🔗 Who cites «Linearity of Relation Decoding in Transformer Language Models»

79 papers of our library cite it (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · ← back to «Linearity of Relation Decoding in Transformer Language Models»

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. Function Vectors in Large Language ModelsarXiv:2310.15213Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.2023 · 127 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. Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language ModelsarXiv:2401.06102Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.2024 · 84 citations
6. A Primer on the Inner Workings of Transformer-based Language ModelsarXiv:2405.00208Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.2024 · 72 citations
7. 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
8. Future Lens: Anticipating Subsequent Tokens from a Single Hidden StateConference on Computational Natural Language Learning (CoNLL)Koyena Pal, Jiuding Sun, Andrew Yuan, et al.2023 · 49 citations
9. 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
10. Locating and Editing Factual Associations in MambaarXiv:2404.03646Arnab Sen Sharma, David Atkinson, David Bau2024 · 18 citations
11. 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
12. 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
13. 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
14. Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge RecallWorkshop on Trustworthy NLPQianli Wang, Mingyang Wang, Nils Feldhus, et al.2026 · 2 citations
15. GKnow: Measuring the Entanglement of Gender Bias and Factual GenderAnnual Meeting of the Association for Computational Linguistics (ACL)Leonor Veloso, Hinrich Schuetze2026
16. Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual OrthogonalizationFindings of the Association for Computational LinguisticsMingkuan Zhao, Wentao Hu, Tianchen Huang, et al.2026
17. Soft Head Selection for Injecting ICL-Derived Task EmbeddingsFindings of the Association for Computational LinguisticsJungwon Park, Jimyeong Kim, Changin Choi, et al.2026
18. Tracing Relational Knowledge Recall in Large Language ModelsFindings of the Association for Computational LinguisticsNicholas Popovič, Michael Färber2026
19. 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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