🔗 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»

1. Large Language Models Are Zero-Shot Time Series ForecastersConference on Neural Information Processing Systems (NeurIPS)Nate Gruver, Marc Finzi, Shikai Qiu, et al.2023 · 268 citations
2. Physics of Language Models: Part 3.1, Knowledge Storage and ExtractionarXiv:2309.14316Zeyuan Allen-Zhu, Yuanzhi Li2023 · 116 citations
3. Large Language Models as General Pattern MachinesarXiv:2307.04721Suvir Mirchandani, Fei Xia, Pete Florence, et al.2023 · 88 citations
4. Physics of Language Models: Part 3.2, Knowledge ManipulationarXiv:2309.14402Zeyuan Allen-Zhu, Yuanzhi Li2023 · 72 citations
5. Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning ProcessarXiv:2407.20311Tian Ye, Zicheng Xu, Yuanzhi Li, et al.2024 · 58 citations
6. Zoology: Measuring and Improving Recall in Efficient Language ModelsarXiv:2312.04927Simran Arora; Sabri Eyuboglu; Aman Timalsina; Isys Johnson; Michael Poli; James Zou; Atri Rudra;, Christopher Re2023 · 55 citations
7. Transformers learn to implement preconditioned gradient descent for in-context learningConference on Neural Information Processing Systems (NeurIPS)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 ProblemsarXiv:2408.16293Tian Ye, Zicheng Xu, Yuanzhi Li, et al.2024 · 31 citations
9. How Is LLM Reasoning Distracted by Irrelevant Context? An Analysis Using a Controlled BenchmarkMinglai Yang, Ethan Huang, Liang Zhang, et al.2025 · 25 citations
10. Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic PuzzlesConference on Neural Information Processing Systems (NeurIPS)Kulin Shah, Nishanth Dikkala, Xin Wang, et al.2024 · 12 citations
11. Linear attention is (maybe) all you need (to understand transformer optimization)arXiv:2310.01082Kwangjun Ahn, Xiang Cheng, Minhak Song, et al.2023 · 10 citations
12. Locate, Steer, and Improve: A Practical Survey of Actionable Mechanistic Interpretability in Large Language ModelsFindings of the Association for Computational LinguisticsHengyuan Zhang, Zhihao Zhang, Ercong Nie, et al.2026 · 9 citations
13. ToMMeR - Efficient Entity Mention Detection from Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Victor Morand, Nadi Tomeh, Josiane Mothe, et al.2026 · 2 citations
14. Rethinking the Relationship between the Power Law and Hierarchical StructuresTransactions of the Association for Computational Linguistics (TACL)Kai Nakaishi, Ryo Yoshida, Kohei Kajikawa, et al.2026

22 more papers of our library cite it; they have no page here yet.

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