🔗 Who cites «Systematic Generalization: What Is Required and Can It Be Learned?»

52 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 «Systematic Generalization: What Is Required and Can It Be Learned?»

1. On the Opportunities and Risks of Foundation ModelsarXiv:2108.07258Rishi Bommasani, Drew A. Hudson, Ehsan Adeli, et al.2021 · 3,160 citations
2. ViperGPT: Visual Inference via Python Execution for ReasoningIEEE/CVF International Conference on Computer Vision (ICCV)Didac Suris, Sachit Menon, Carl Vondrick2023 · 383 citations
3. Scalable agent alignment via reward modeling: a research directionarXiv:1811.07871Jan Leike, David Krueger, Tom Everitt, et al.2018 · 227 citations
4. Compositionality decomposed: how do neural networks generalise?arXiv:1908.08351Dieuwke Hupkes, Verna Dankers, Mathijs Mul, et al.2019 · 162 citations
5. Neural Natural Language Inference Models Partially Embed Theories of Lexical Entailment and NegationAtticus Geiger, Kyle Richardson, Christopher Potts2020 · 123 citations
6. Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation PerspectiveAnnual Meeting of the Association for Computational Linguistics (ACL)Ziyao Xu, Cong Wang, Houfeng Wang2026

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

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