🔗 Who cites «Large Language Models Are Not Strong Abstract Reasoners»

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 «Large Language Models Are Not Strong Abstract Reasoners»

1. A Survey on Evaluation of Large Language ModelsACM Transactions on Intelligent Systems and TechnologyYupeng Chang, Xu Wang, Jindong Wang, et al.2023 · 3,648 citations
2. Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language ModelsScience China Information SciencesQiguang Chen, Libo Qin, Jinhao Liu, et al.2025 · 176 citations
3. Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning CorpusACM Transactions on Intelligent Systems and TechnologySeungpil Lee, Woochang Sim, Donghyeon Shin, et al.2024 · 38 citations
4. Autoformalizing Natural Language to First-Order Logic: A Case Study in Logical Fallacy DetectionarXiv:2405.02318Abhinav Lalwani, Tasha Kim, Lovish Chopra, et al.2024 · 15 citations
5. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnarXiv:2407.08348Liang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations
6. Can Large Language Models Generalize Analogy Solving Like Children Can?Transactions of the Association for Computational Linguistics (TACL)Claire E. Stevenson, Alexandra Pafford, Han L. J. van der Maas, et al.2026 · 2 citations
7. Shuttle Between Symbolic Instructions and Neural Parameters of Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wangtao Sun, Haotian Xu, Huanxuan Liao, et al.2026

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

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