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Reinforcement learning (RL) with large language models shows promise in complex reasoning.
Sentence-bert: Sentence embeddings using siamese bert-networks
Nils Reimers and Iryna Gurevych · 1908
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, Christopher Hesse, and John Schulman · 2021
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Solving quantitative reasoning problems with language models
Aitor Lewkowycz, Anders Andreassen, David Dohan, Ethan Dyer, Henryk Michalewski, Vinay Ramasesh, Ambrose Slone, Cem Anil, Imanol Schlag, Theo Gutman-Solo, Yuhuai Wu, Behnam Neyshabur, Guy Gur-Ari, and Vedant Misra · 2022
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Have LLMs advanced enough? a challenging problem solving benchmark for large language models
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Openwebmath: An open dataset of high-quality mathematical web text, 2023
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Cmath: Can your language model pass chinese elementary school math test?, 2023
Tianwen Wei, Jian Luan, Wei Liu, Shuang Dong, and Bin Wang · 2023
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Do not think that much for 2+3=? on the overthinking of o1-like llms, 2024
Xingyu Chen, Jiahao Xu, Tian Liang, Zhiwei He, Jianhui Pang, Dian Yu, Linfeng Song, Qiuzhi Liu, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, and Dong Yu · 2024
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Meng Fang, Xiangpeng Wan, Fei Lu, Fei Xing, and Kai Zou · 2024
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Omni-math: A universal olympiad level mathematic benchmark for large language models, 2024
Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, and Baobao Chang · 2024
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Aaron Grattafiori, Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Alex Vaughan, et al · 2024
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Infimm-webmath-40b: Advancing multimodal pre-training for enhanced mathematical reasoning, 2024
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Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024
Chaoqun He, Renjie Luo, Yuzhuo Bai, Shengding Hu, Zhen Leng Thai, Junhao Shen, Jinyi Hu, Xu Han, Yujie Huang, Yuxiang Zhang, Jie Liu, Lei Qi, Zhiyuan Liu, and Maosong Sun · 2024
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Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent ai
Zhen Huang, Zengzhi Wang, Shijie Xia, Xuefeng Li, Haoyang Zou, Ruijie Xu, Run-Ze Fan, Lyumanshan Ye, Ethan Chern, Yixin Ye, Yikai Zhang, Yuqing Yang, Ting Wu, Binjie Wang, Shichao Sun, Yang Xiao, Yiyuan Li, Fan Zhou, Steffi Chern, Yiwei Qin, Yan Ma, Jiadi Su, Yixiu Liu, Yuxiang Zheng, Shaoting Zhang, Dahua Lin, Yu Qiao, and Pengfei Liu · 2024
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Numinamath
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Haoxiong Liu, Yifan Zhang, Yifan Luo, and Andrew Chi-Chih Yao · 2024
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GPQA: A graduate-level google-proof q&a benchmark
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Hritik Bansal, Arian Hosseini, Rishabh Agarwal, Vinh Q. Tran, and Mehran Kazemi · 2025
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An empirical study on eliciting and improving r1-like reasoning models
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Process reinforcement through implicit rewards
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Open r1: A fully open reproduction of deepseek-r1, January 2025
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Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, Y. K. Li, Y. Wu, and Daya Guo · 2024
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Metamath: Bootstrap your own mathematical questions for large language models
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
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Megamath: Pushing the limits of open math corpora
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