🔗 Who cites «Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?»

46 papers of our library cite it (of the 140,884 whose bibliographies we read) · 12 with a page here, the most cited first · ← the paper

1. Efficient Transformers: A SurveyYi Tay, Mostafa Dehghani, Dara Bahri, et al.2020 · 1,513 citations
2. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve ThemMirac Suzgun, Nathan Scales, Nathanael Schärli, et al.2023 · 1,094 citations
3. Reproducible scaling laws for contrastive language-image learningMehdi Cherti, Romain Beaumont, Ross Wightman, et al.2022 · 750 citations
4. BloombergGPT: A Large Language Model for FinanceShijie Wu, Ozan Irsoy, Steven Lu, et al.2023 · 608 citations
5. Galactica: A Large Language Model for ScienceRoss Taylor, Marcin Kardas, Guillem Cucurull, et al.2022 · 558 citations
6. Challenges and Applications of Large Language ModelsJean Kaddour, Joshua Harris, Maximilian Mozes, et al.2023 · 300 citations
7. Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language ModelsMosh Levy, Alon Jacoby, Yoav Goldberg2024 · 212 citations
8. Ring Attention with Blockwise Transformers for Near-Infinite ContextHao Liu, Matei Zaharia, Pieter Abbeel2023 · 207 citations
9. Beyond Chinchilla-Optimal: Accounting for Inference in Language Model Scaling LawsNikhil Sardana, Jacob Portes, Sasha Doubov, et al.2024 · 47 citations
10. Scaling Laws with Vocabulary: Larger Models Deserve Larger VocabulariesChaofan Tao, Qian Liu, Longxu Dou, et al.2024 · 42 citations
11. Transcending Scaling Laws with 0.1% Extra ComputeYi Tay, Jason Wei, Hyung Won Chung, et al.2022 · 40 citations
12. Observational Scaling Laws and the Predictability of Language Model PerformanceYangjun Ruan, Chris J. Maddison, Tatsunori Hashimoto2024 · 28 citations

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

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