🔗 Who cites «Analysing Mathematical Reasoning Abilities of Neural Models»

198 papers of our library cite it (of the 140,884 whose bibliographies we read) · 28 with a page here, the most cited first · ← the paper

1. Measuring Mathematical Problem Solving With the MATH DatasetDan Hendrycks, Collin Burns, Saurav Kadavath, et al.2021 · 2,318 citations
2. Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language modelsAarohi Srivastava, Abhinav Rastogi, Abhishek Rao, et al.2022 · 1,695 citations
3. A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and InteractivityYejin Bang, Samuel Cahyawijaya, Nayeon Lee, et al.2023 · 866 citations
4. GPT-NeoX-20B: An Open-Source Autoregressive Language ModelSidney Black, Stella Biderman, Eric Hallahan, et al.2022 · 818 citations
5. ChartQA: A Benchmark for Question Answering about Charts with Visual and Logical ReasoningAhmed Masry, Do Xuan Long, Jia Qing Tan, et al.2022 · 744 citations
6. HybridFlow: A Flexible and Efficient RLHF FrameworkGuangming Sheng, Chi Zhang, Zilingfeng Ye, et al.2024 · 598 citations
7. Show your work: Scratchpads for intermediate computation with language models2021 · 448 citations
8. Tulu 3: Pushing Frontiers in Open Language Model Post-TrainingNathan Lambert, Jacob Morrison, Valentina Pyatkin, et al.2024 · 379 citations
9. Transformers as Soft Reasoners over LanguagePeter Clark, Oyvind Tafjord, Kyle Richardson2020 · 375 citations
10. Do NLP Models Know Numbers? Probing Numeracy in EmbeddingsEric Wallace, Yizhong Wang, Sujian Li, et al.2019 · 348 citations
11. PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial PromptsKaijie Zhu, Jindong Wang, Jiaheng Zhou, et al.2023 · 301 citations
12. Injecting Numerical Reasoning Skills into Language ModelsMor Geva, Ankit Gupta, Jonathan Berant2020 · 268 citations
13. MiniF2F: a cross-system benchmark for formal Olympiad-level mathematicsKunhao Zheng, Jesse Michael Han, Stanislas Polu2021 · 254 citations
14. Scaling Relationship on Learning Mathematical Reasoning with Large Language ModelsZheng Yuan, Hongyi Yuan, Chengpeng Li, et al.2023 · 252 citations
15. Generative Language Modeling for Automated Theorem ProvingStanislas Polu, Ilya Sutskever2020 · 235 citations
16. Jais and Jais-chat: Arabic-Centric Foundation and Instruction-Tuned Open Generative Large Language ModelsNeha Sengupta, Sunil Kumar Sahu, Bokang Jia, et al.2023 · 217 citations
17. LILA: A Unified Benchmark for Mathematical ReasoningSwaroop Mishra, Matthew Finlayson, Pan Lu, et al.2022 · 176 citations
18. Impact of Pretraining Term Frequencies on Few-Shot Numerical ReasoningYasaman Razeghi, Robert L Logan IV, Matt Gardner, et al.2022 · 162 citations
19. Orca 2: Teaching Small Language Models How to ReasonArindam Mitra, Luciano Del Corro, Shweti Mahajan, et al.2023 · 160 citations
20. TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, et al.2023 · 154 citations
21. HyperTree Proof Search for Neural Theorem ProvingGuillaume Lample, Marie-Anne Lachaux, Thibaut Lavril, et al.2022 · 149 citations
22. Scaling Laws for Autoregressive Generative ModelingTom Henighan, Jared Kaplan, Mor Katz, et al.2020 · 115 citations
23. ALLaM: Large Language Models for Arabic and EnglishM Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani, et al.2024 · 113 citations
24. Olmo 3Team Olmo: Allyson Ettinger, Amanda Bertsch, Bailey Kuehl, et al.2025 · 109 citations
25. MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical ReasoningKe Wang, Houxing Ren, Aojun Zhou, et al.2023 · 98 citations
26. Tokenization counts: the impact of tokenization on arithmetic in frontier LLMsAaditya K. Singh, DJ Strouse2024 · 53 citations
27. ArMATH: a Dataset for Solving Arabic Math Word ProblemsReem Alghamdi, Zhenwen Liang, Xiangliang Zhang2022 · 17 citations
28. Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large Language Models — The Story Goes OnLiang Zeng, Liangjun Zhong, Liang Zhao, et al.2024 · 14 citations

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

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