🔗 Who cites «Measuring abstract reasoning in neural networks»

38 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 «Measuring abstract reasoning in neural networks»

1. How Powerful are Graph Neural Networks?arXiv:1810.00826Keyulu Xu, Weihua Hu, Jure Leskovec, et al.2018 · 655 citations
2. The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)arXiv:2309.17421Zhengyuan Yang, Linjie Li, Kevin Lin, et al.2023 · 311 citations
3. Analysing Mathematical Reasoning Abilities of Neural ModelsarXiv:1904.01557David Saxton, Edward Grefenstette, Felix Hill, et al.2019 · 288 citations
4. Evaluating and Inducing Personality in Pre-trained Language ModelsConference on Neural Information Processing Systems (NeurIPS)Guangyuan Jiang, Manjie Xu, Song-Chun Zhu, et al.2022 · 168 citations
5. Abstraction and analogy-making in artificial intelligenceMelanie Mitchell2021 · 161 citations
6. Large Language Models Are Not Strong Abstract ReasonersarXiv:2305.19555Gael Gendron, Qiming Bao, Michael Witbrock, et al.2023 · 61 citations
7. Neuro-Symbolic Artificial Intelligence: Current TrendsarXiv:2105.05330Md Kamruzzaman Sarker, Lu Zhou, Aaron Eberhart, et al.2021 · 12 citations

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

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