🔗 Who cites «Towards Understanding Grokking: An Effective Theory of Representation Learning»

35 papers of our library cite it (of the 149,439 whose bibliographies we read) · 13 with a page here, the most cited first · ← back to «Towards Understanding Grokking: An Effective Theory of Representation Learning»

1. Faith and Fate: Limits of Transformers on CompositionalityConference on Neural Information Processing Systems (NeurIPS)Nouha Dziri, Ximing Lu, Melanie Sclar, et al.2023 · 327 citations
2. Progress measures for grokking via mechanistic interpretabilityarXiv:2301.05217Neel Nanda, Lawrence Chan, Tom Lieberum, et al.2023 · 228 citations
3. How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language modelConference on Neural Information Processing Systems (NeurIPS)Michael Hanna, Ollie Liu, Alexandre Variengien2023 · 151 citations
4. RAFT: Adapting Language Model to Domain Specific RAGarXiv:2403.10131Tianjun Zhang, Shishir G. Patil, Naman Jain, et al.2024 · 137 citations
5. Mechanistic Interpretability for AI Safety — A ReviewarXiv:2404.14082Leonard Bereska, Efstratios Gavves2024 · 108 citations
6. Reinforcement Learning for Reasoning in Large Language Models with One Training ExampleConference on Neural Information Processing Systems (NeurIPS)Yiping Wang, Qing Yang, Zhiyuan Zeng, et al.2025 · 87 citations
7. 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
8. 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
9. Omnigrok: Grokking Beyond Algorithmic DataarXiv:2210.01117Ziming Liu, Eric J. Michaud, Max Tegmark2022 · 29 citations
10. Pretraining on the Test Set Is All You NeedarXiv:2309.08632Rylan Schaeffer2023 · 24 citations
11. Language Models Use Trigonometry to Do AdditionarXiv:2502.00873Subhash Kantamneni, Max Tegmark2025 · 19 citations
12. Mapping the Circumplex of Affect: Geometric Analysis of Emotion Representations via Hyperspherical Contrastive LearningAnnual Meeting of the Association for Computational Linguistics (ACL)Yusuke Yamauchi, Akiko Aizawa2026
13. Memory Dial: A Training Framework for Controllable Memorization in Language ModelsFindings of the Association for Computational LinguisticsXiangbo Zhang, Ali Emami2026

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

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