--- title: "Who cites Linearity of Relation Decoding in — 79 citing papers" description: "79 papers of the Elamur Research library cite «Linearity of Relation Decoding in Transformer Language Models», found in their bibliographies…" canonical: "https://research.elamur.ai/free/en/papers/hernandez-2023-linearity-relation-decoding-transformer-language/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/hernandez-2023-linearity-relation-decoding-transformer-language/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Linearity of Relation Decoding in Transformer…](https://md.research.elamur.ai/free/en/papers/hernandez-2023-linearity-relation-decoding-transformer-language/) / cited by # 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»](https://md.research.elamur.ai/free/en/papers/hernandez-2023-linearity-relation-decoding-transformer-language/) 1. **[The Linear Representation Hypothesis and the Geometry of Large Language Models](https://md.research.elamur.ai/free/en/papers/park-2023-linear-representation-hypothesis-geometry-large/) [International Conference on Machine Learning (ICML)](https://md.research.elamur.ai/free/en/venues/international-conference-on-machine-learning/)**Kiho Park, Yo Joong Choe, Victor Veitch*2023 · 165 citations* 2. [**Function Vectors in Large Language Models arXiv:2310.15213**Eric Todd, Millicent L. Li, Arnab Sen Sharma, et al.*2023 · 127 citations*](https://md.research.elamur.ai/free/en/papers/todd-2023-function-vectors-large-language-models/) 3. [**Mechanistic Interpretability for AI Safety — A Review arXiv:2404.14082**Leonard Bereska, Efstratios Gavves*2024 · 108 citations*](https://md.research.elamur.ai/free/en/papers/bereska-2024-mechanistic-interpretability-ai-safety-review/) 4. [**Foundational Challenges in Assuring Alignment and Safety of Large Language Models arXiv:2404.09932**Usman Anwar, Abulhair Saparov, Javier Rando, et al.*2024 · 87 citations*](https://md.research.elamur.ai/free/en/papers/anwar-2024-foundational-challenges-assuring-alignment-safety/) 5. [**Patchscopes: A Unifying Framework for Inspecting Hidden Representations of Language Models arXiv:2401.06102**Asma Ghandeharioun, Avi Caciularu, Adam Pearce, et al.*2024 · 84 citations*](https://md.research.elamur.ai/free/en/papers/ghandeharioun-2024-patchscopes-unifying-framework-inspecting-hidden/) 6. [**A Primer on the Inner Workings of Transformer-based Language Models arXiv:2405.00208**Javier Ferrando, Gabriele Sarti, Arianna Bisazza, et al.*2024 · 72 citations*](https://md.research.elamur.ai/free/en/papers/ferrando-2024-primer-inner-workings-transformer-based/) 7. [**A Mechanistic Understanding of Alignment Algorithms: A Case Study on DPO and Toxicity arXiv:2401.01967**Andrew Lee, Xiaoyan Bai, Itamar Pres, et al.*2024 · 64 citations*](https://md.research.elamur.ai/free/en/papers/lee-2024-mechanistic-understanding-alignment-algorithms-case/) 8. **[Future Lens: Anticipating Subsequent Tokens from a Single Hidden State](https://md.research.elamur.ai/free/en/papers/pal-2023-future-lens-anticipating-subsequent-tokens/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Koyena Pal, Jiuding Sun, Andrew Yuan, et al.*2023 · 49 citations* 9. **[Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-lost-multilinguality-dissecting-cross-lingual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Mingyang Wang, Heike Adel, Lukas Lange, et al.*2025 · 31 citations* 10. [**Locating and Editing Factual Associations in Mamba arXiv:2404.03646**Arnab Sen Sharma, David Atkinson, David Bau*2024 · 18 citations*](https://md.research.elamur.ai/free/en/papers/sharma-2024-locating-editing-factual-associations-mamba/) 11. **[SAEs Are Good for Steering – If You Select the Right Features](https://md.research.elamur.ai/free/en/papers/arad-2025-saes-are-good-steering-if/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Dana Arad, Aaron Mueller, Yonatan Belinkov*2025 · 12 citations* 12. **[Internal Chain-of-Thought: Empirical Evidence for Layer-wise Subtask Scheduling in LLMs](https://md.research.elamur.ai/free/en/papers/yang-2025-internal-chain-thought-empirical-evidence/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Tokens](https://md.research.elamur.ai/free/en/papers/mamidanna-2025-all-one-llms-solve-mental/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/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 Recall](https://md.research.elamur.ai/free/en/papers/wang-2026-through-compressed-lens-investigating-impact/) [Workshop on Trustworthy NLP](https://md.research.elamur.ai/free/en/venues/trustnlp/)**Qianli Wang, Mingyang Wang, Nils Feldhus, et al.*2026 · 2 citations* 15. **[GKnow: Measuring the Entanglement of Gender Bias and Factual Gender](https://md.research.elamur.ai/free/en/papers/veloso-2026-gknow-measuring-entanglement-gender-bias/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Leonor Veloso, Hinrich Schuetze*2026* 16. **[Hallucinations as Orthogonal Noise: Inference-Time Manifold Alignment via Dynamic Contextual Orthogonalization](https://md.research.elamur.ai/free/en/papers/zhao-2026-hallucinations-as-orthogonal-noise-inference/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Mingkuan Zhao, Wentao Hu, Tianchen Huang, et al.*2026* 17. **[Soft Head Selection for Injecting ICL-Derived Task Embeddings](https://md.research.elamur.ai/free/en/papers/park-2026-soft-head-selection-injecting-icl/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jungwon Park, Jimyeong Kim, Changin Choi, et al.*2026* 18. **[Tracing Relational Knowledge Recall in Large Language Models](https://md.research.elamur.ai/free/en/papers/popovic-2026-tracing-relational-knowledge-recall-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Nicholas Popovič, Michael Färber*2026* 19. **[Understanding In-Context Learning Beyond Transformers: An Investigation of State Space and Hybrid Architectures](https://md.research.elamur.ai/free/en/papers/wang-2026-understanding-context-learning-beyond-transformers/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shenran Wang, Timothy Tin-Long Tse, Jian Zhu*2026* 60 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/hernandez-2023-linearity-relation-decoding-transformer-language/) — Linearity of Relation Decoding in Transformer Language Models