--- title: "Who cites Physics of Language Models: Part — 36 citing papers" description: "36 papers of the Elamur Research library cite «Physics of Language Models: Part 1, Learning Hierarchical Language Structures», found in their…" canonical: "https://research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Physics of Language Models: Part 1, Learning…](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/) / cited by # Who cites «Physics of Language Models: Part 1, Learning Hierarchical Language Structures» 36 papers of our library cite it (of the 149,439 whose bibliographies we read) · 14 with a page here, the most cited first · [← back to «Physics of Language Models: Part 1, Learning Hierarchical Language Structures»](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/) 1. **[Large Language Models Are Zero-Shot Time Series Forecasters](https://md.research.elamur.ai/free/en/papers/gruver-2023-large-language-models-zero-shot/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Nate Gruver, Marc Finzi, Shikai Qiu, et al.*2023 · 268 citations* 2. [**Physics of Language Models: Part 3.1, Knowledge Storage and Extraction arXiv:2309.14316**Zeyuan Allen-Zhu, Yuanzhi Li*2023 · 116 citations*](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-3/) 3. [**Large Language Models as General Pattern Machines arXiv:2307.04721**Suvir Mirchandani, Fei Xia, Pete Florence, et al.*2023 · 88 citations*](https://md.research.elamur.ai/free/en/papers/mirchandani-2023-large-language-models-general-pattern/) 4. [**Physics of Language Models: Part 3.2, Knowledge Manipulation arXiv:2309.14402**Zeyuan Allen-Zhu, Yuanzhi Li*2023 · 72 citations*](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-3-2/) 5. [**Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process arXiv:2407.20311**Tian Ye, Zicheng Xu, Yuanzhi Li, et al.*2024 · 58 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-physics-language-models-part-2/) 6. [**Zoology: Measuring and Improving Recall in Efficient Language Models arXiv:2312.04927**Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re*2023 · 55 citations*](https://md.research.elamur.ai/free/en/papers/arora-2023-zoology-measuring-improving-recall-efficient/) 7. **[Transformers learn to implement preconditioned gradient descent for in-context learning](https://md.research.elamur.ai/free/en/papers/ahn-2023-transformers-learn-implement-preconditioned-gradient/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kwangjun Ahn, Xiang Cheng, Hadi Daneshmand, et al.*2023 · 37 citations* 8. [**Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems arXiv:2408.16293**Tian Ye, Zicheng Xu, Yuanzhi Li, et al.*2024 · 31 citations*](https://md.research.elamur.ai/free/en/papers/ye-2024-physics-language-models-part-2-2/) 9. [**How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled Benchmark**Minglai Yang, Ethan Huang, Liang Zhang, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/yang-2025-llm-reasoning-distracted-irrelevant-context/) 10. **[Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles](https://md.research.elamur.ai/free/en/papers/shah-2024-causal-language-modeling-elicit-search/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Kulin Shah, Nishanth Dikkala, Xin Wang, et al.*2024 · 12 citations* 11. [**Linear attention is (maybe) all you need (to understand transformer optimization) arXiv:2310.01082**Kwangjun Ahn, Xiang Cheng, Minhak Song, et al.*2023 · 10 citations*](https://md.research.elamur.ai/free/en/papers/ahn-2023-linear-attention-maybe-all-need/) 12. **[Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-locate-steer-improve-practical-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Hengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.*2026 · 9 citations* 13. **[ToMMeR - Efficient Entity Mention Detection from Large Language Models](https://md.research.elamur.ai/free/en/papers/morand-2026-tommer-efficient-entity-mention-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Victor Morand, Nadi Tomeh, Josiane Mothe, et al.*2026 · 2 citations* 14. **[Rethinking the Relationship between the Power Law and Hierarchical Structures](https://md.research.elamur.ai/free/en/papers/nakaishi-2026-rethinking-relationship-between-power-law/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.*2026* 22 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/allen-zhu-2023-physics-language-models-part-1/) — Physics of Language Models: Part 1, Learning Hierarchical Language Structures