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Large reasoning models (LRMs) tackle complex reasoning problems by following long chain-of-thoughts (Long CoT) that incorporate reflection, backtracking, and self-validation.
Crafting papers on machine learning
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Distilling the knowledge in a neural network
Hinton, G · 2015
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Think you have solved question answering? try arc, the ai2 reasoning challenge
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Improving language understanding by generative pre-training
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Training verifiers to solve math word problems
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Lora: Low-rank adaptation of large language models
Hu, E. J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W · 2021
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Chain-of-thought prompting elicits reasoning in large language models
Wei, J. et al · 2022
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Star: Bootstrapping reasoning with reasoning
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Achiam, J., Adler, S., Agarwal, S., Ahmad, L., Akkaya, I., Aleman, F. L., Almeida, D., Altenschmidt, J., Altman, S., Anadkat, S., et al · 2023
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Taco: Topics in algorithmic code generation dataset
Li, R., Fu, J., Zhang, B.-W., Huang, T., Sun, Z., Lyu, C., Liu, G., Jin, Z., and Li, G · 2023
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Lightman, H., Kosaraju, V., Burda, Y., Edwards, H., Baker, B., Lee, T., Leike, J., Schulman, J., Sutskever, I., and Cobbe, K · 2023
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Ieval: An instruction following benchmark
Mitchell, E., Raileanu, R., Raffel, C., Levine, J., Tsvetkov, Y., and Manning, C. D · 2023
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Tree of thoughts: Deliberate problem solving with large language models
Yao, S. et al · 2023
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Judging llm-as-a-judge with mt-bench and chatbot arena
Zheng, L., Chiang, W.-L., Sheng, Y., Zhuang, S., Wu, Z., Zhuang, Y., Lin, Z., Li, Z., Li, D., Xing, E., et al · 2023
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Large language models for mathematical reasoning: Progresses and challenges
Ahn, J., Verma, R., Lou, R., Liu, D., Zhang, R., and Yin, W · 2024
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Lora learns less and forgets less
Biderman, D., Portes, J., Ortiz, J. J. G., Paul, M., Greengard, P., Jennings, C., King, D., Havens, S., Chiley, V., Frankle, J., et al · 2024
Livecodebench: Holistic and contamination free evaluation of large language models for code
Jain, N., Han, K., Gu, A., Li, W.-D., Yan, F., Zhang, T., Wang, S., Solar-Lezama, A., Sen, K., and Stoica, I · 2024
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T \ \backslash ” ulu 3: Pushing frontiers in open language model post-training
Lambert, N., Morrison, J., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L. J. V., Liu, A., Dziri, N., Lyu, S., et al · 2024
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Numinamath
LI, J., Beeching, E., Tunstall, L., Lipkin, B., Soletskyi, R., Huang, S. C., Rasul, K., Yu, L., Jiang, A., Shen, Z., Qin, Z., Dong, B., Zhou, L., Fleureau, Y., Lample, G., and Polu, S · 2024
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Imitate, explore, and self-improve: A reproduction report on slow-thinking reasoning systems
Min, Y., Chen, Z., Jiang, J., Chen, J., Deng, J., Hu, Y., Tang, Y., Wang, J., Cheng, X., Song, H., et al · 2024
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Large language monkeys: Scaling inference compute with repeated sampling
Brown, B., Juravsky, J., Ehrlich, R., Clark, R., Le, Q. V., Ré, C., and Mirhoseini, A · 2024
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A closer look at the limitations of instruction tuning
Ghosh, S., Evuru, C. K. R., Kumar, S., S, R., Aneja, D., Jin, Z., Duraiswami, R., and Manocha, D · 2024
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Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems, 2024
He, C., Luo, R., Bai, Y., Hu, S., Thai, Z. L., Shen, J., Hu, J., Han, X., Huang, Y., Zhang, Y., Liu, J., Qi, L., Liu, Z., and Sun, M · 2024
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Huang, Z., Zou, H., Li, X., Liu, Y., Zheng, Y., Chern, E., Xia, S., Qin, Y., Yuan, W., and Liu, P · 2024
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Jaech, A., Kalai, A., Lerer, A., Richardson, A., El-Kishky, A., Low, A., Helyar, A., Madry, A., Beutel, A., Carney, A., et al · 2024
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Measuring coding challenge competence with apps
Hendrycks, D., Basart, S., Kadavath, S., Mazeika, M., Arora, A., Guo, E., Burns, C., Puranik, S., He, H., Song, D., and Steinhardt, J
Cited in the paper.
Snell, C., Lee, J., Xu, K., and Kumar, A · 2024
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Gemma 2: Improving open language models at a practical size
Team, G., Riviere, M., Pathak, S., Sessa, P. G., Hardin, C., Bhupatiraju, S., Hussenot, L., Mesnard, T., Shahriari, B., Ramé, A., et al · 2024
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Qwq: Reflect deeply on the boundaries of the unknown, 2024
Team, Q · 2024
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Yang, A., Yang, B., Zhang, B., Hui, B., Zheng, B., Yu, B., Li, C., Liu, D., Huang, F., Wei, H., et al · 2024
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Free process rewards without process labels
Yuan, L., Li, W., Chen, H., Cui, G., Ding, N., Zhang, K., Zhou, B., Liu, Z., and Peng, H · 2024
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Llamafactory: Unified efficient fine-tuning of 100+ language models
Zheng, Y., Zhang, R., Zhang, J., Ye, Y., Luo, Z., Feng, Z., and Ma, Y · 2024
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Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Guo, D., Yang, D., Zhang, H., Song, J., Zhang, R., Xu, R., Zhu, Q., Ma, S., Wang, P., Bi, X., et al · 2025
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