---
title: "Who cites Abstraction and analogy-making in artificial intelligence"
description: "37 papers of the Elamur Research library cite «Abstraction and analogy-making in artificial intelligence», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/mitchell-2021-abstraction-analogy-making-artificial-intelligence/cited-by/"
---
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# Who cites «Abstraction and analogy-making in artificial intelligence»

37 papers of our library cite it (of the 149,439 whose bibliographies we read) · 7 with a page here, the most cited first · [← back to «Abstraction and analogy-making in artificial intelligence»](https://md.research.elamur.ai/free/en/papers/mitchell-2021-abstraction-analogy-making-artificial-intelligence/)

1. **[Towards Reasoning in Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/huang-2023-reasoning-large-language-models-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jie Huang, Kevin Chen-Chuan Chang*2023 · 780 citations*
2. [**Language models show human-like content effects on reasoning tasks arXiv:2207.07051**Ishita Dasgupta, Andrew K. Lampinen, Stephanie C. Y. Chan, et al.*2022 · 162 citations*](https://md.research.elamur.ai/free/en/papers/dasgupta-2022-language-models-show-human-like/)
3. [**Cognitive Behaviors that Enable Self-Improving Reasoners, or, Four Habits of Highly Effective STaRs arXiv:2503.01307**Kanishk Gandhi, Ayush Chakravarthy, Anikait Singh, et al.*2025 · 123 citations*](https://md.research.elamur.ai/free/en/papers/gandhi-2025-cognitive-behaviors-that-enable-self/)
4. [**Evaluation of OpenAI o1: Opportunities and Challenges of AGI arXiv:2409.18486**Tianyang Zhong, Zhengliang Liu, Yi Pan, et al.*2024 · 64 citations*](https://md.research.elamur.ai/free/en/papers/zhong-2024-evaluation-openai-o1-opportunities-challenges/)
5. **[ARN: Analogical Reasoning on Narratives](https://md.research.elamur.ai/free/en/papers/sourati-2024-arn-analogical-reasoning-narratives/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Zhivar Sourati, Filip Ilievski, Pia Sommerauer, et al.*2024 · 17 citations*
6. **[Can Large Language Models Generalize Analogy Solving Like Children Can?](https://md.research.elamur.ai/free/en/papers/stevenson-2026-can-large-language-models-generalize/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas, et al.*2026 · 2 citations*
7. **[Modelling Analogies and Analogical Reasoning: Connecting Cognitive Science Theory and NLP Research](https://md.research.elamur.ai/free/en/papers/petersen-2026-modelling-analogies-analogical-reasoning-connecting/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Molly R. Petersen, Claire E. Stevenson, Lonneke van der Plas*2026 · 1 citation*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/mitchell-2021-abstraction-analogy-making-artificial-intelligence/) — Abstraction and analogy-making in artificial intelligence
