--- title: "Who cites Transformers Learn to Achieve — 12 citing papers" description: "12 papers of the Elamur Research library cite «Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear…" canonical: "https://research.elamur.ai/free/en/papers/fu-2023-transformers-learn-achieve-second-order/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/fu-2023-transformers-learn-achieve-second-order/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Transformers Learn to Achieve Second-Order…](https://md.research.elamur.ai/free/en/papers/fu-2023-transformers-learn-achieve-second-order/) / cited by # Who cites «Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression» 12 papers of our library cite it (of the 149,439 whose bibliographies we read) · 3 with a page here, the most cited first · [← back to «Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression»](https://md.research.elamur.ai/free/en/papers/fu-2023-transformers-learn-achieve-second-order/) 1. [**A Survey on In-context Learning arXiv:2301.00234**Qingxiu Dong, Lei Li, Damai Dai, et al.*2023 · 978 citations*](https://md.research.elamur.ai/free/en/papers/dong-2023-survey-context-learning/) 2. [**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/) 3. [**Understanding Emergent In-Context Learning from a Kernel Regression Perspective arXiv:2305.12766**Chi Han, Ziqi Wang, Han Zhao, et al.*2023 · 21 citations*](https://md.research.elamur.ai/free/en/papers/han-2023-understanding-emergent-context-learning-kernel/) 9 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/fu-2023-transformers-learn-achieve-second-order/) — Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression