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Recent supervised fine-tuning (SFT) approaches have significantly improved language models' performance on mathematical reasoning tasks, even when models are trained at a small scale.
Measuring mathematical problem solving with the math dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt · 2021
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Learning to reason with llms, September 2024
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Openr: An open source framework for advanced reasoning with large language models
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2024 aime ii problems/problem 1, 2024
Art of Problem Solving · 2025
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An empirical study on eliciting and improving r1-like reasoning models
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Llms can easily learn to reason from demonstrations structure, not content, is what matters!
Dacheng Li, Shiyi Cao, Tyler Griggs, Shu Liu, Xiangxi Mo, Shishir G Patil, Matei Zaharia, Joseph E Gonzalez, and Ion Stoica · 2025
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Sky-t1: Train your own o1 preview model within $450
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Numinamath
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Gsm-plus: A comprehensive benchmark for evaluating the robustness of llms as mathematical problem solvers
Qintong Li, Leyang Cui, Xueliang Zhao, Lingpeng Kong, and Wei Bi
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Open thoughts
OpenThoughts Team
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Qwq-32b: Embracing the power of reinforcement learning, March 2025c
Qwen Team
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Yixin Ye, Zhen Huang, Yang Xiao, Ethan Chern, Shijie Xia, and Pengfei Liu · 2025
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