🔗 Who cites «Omnigrok: Grokking Beyond Algorithmic Data»

22 papers of our library cite it (of the 149,439 whose bibliographies we read) · 6 with a page here, the most cited first · ← back to «Omnigrok: Grokking Beyond Algorithmic Data»

1. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
2. Towards Understanding Grokking: An Effective Theory of Representation LearningConference on Neural Information Processing Systems (NeurIPS)Ziming Liu, Ouail Kitouni, Niklas Nolte, et al.2022 · 65 citations
3. On Memorization of Large Language Models in Logical ReasoningInternational Joint Conference on Natural Language Processing (IJCNLP)Chulin Xie, Yangsibo Huang, Chiyuan Zhang, et al.2025 · 45 citations
4. Grokked Transformers are Implicit Reasoners: A Mechanistic Journey to the Edge of GeneralizationarXiv:2405.15071Boshi Wang, Xiang Yue, Yu Su, et al.2024 · 30 citations
5. 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
6. Towards Understanding Distilled Reasoning Models: A Representational ApproacharXiv:2503.03730 · ICLR 2025 Workshop on Building Trust in Language Models and ApplicationsDavid D. Baek, Max Tegmark2025 · 8 citations

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

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