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With the rise of artificial intelligence (AI), applying large language models (LLMs) to mathematical problem-solving has attracted increasing attention.
Operations Research Exercises (in Chinese)
Hu, Y. 2010 · 2010
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Operations Research Tutorial (in Chinese)
Hu, Y. 2012 · 2012
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Evaluating large language models trained on code
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How service quality variability hurts revenue when customers learn: Implications for dynamic personalized pricing
DeCroix, G.; Long, X.; and Tong, J. 2021 · 2021
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Procurement mechanisms for assortments of differentiated products
Saban, D.; and Weintraub, G. Y. 2021 · 2021
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Cardinal Optimizer (COPT) user guide
Ge, D.; Huangfu, Q.; Wang, Z.; Wu, J.; and Ye, Y. 2022 · 2022
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Competition-level code generation with alphacode
Li, Y.; Choi, D.; Chung, J.; Kushman, N.; Schrittwieser, J.; Leblond, R.; Eccles, T.; Keeling, J.; Gimeno, F.; Dal Lago, A.; et al. 2022 · 2022
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Training language models to follow instructions with human feedback
Ouyang, L.; Wu, J.; Jiang, X.; Almeida, D.; Wainwright, C.; Mishkin, P.; Zhang, C.; Agarwal, S.; Slama, K.; Ray, A.; et al. 2022 · 2022
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Augmenting Operations Research with Auto-Formulation of Optimization Models From Problem Descriptions
Ramamonjison, R.; Li, H.; Timothy, T.; He, S.; Rengan, V.; Banitalebi-Dehkordi, A.; Zhou, Z.; and Zhang, Y. 2022 · 2022
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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 · 2023
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Gurobi Optimizer Reference Manual
Gurobi Optimization, LLC. 2023 · 2023
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Large Language Models for Supply Chain Optimization
Li, B.; Mellou, K.; Zhang, B.; Pathuri, J.; and Menache, I. 2023 · 2023
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Autogen: Enabling next-gen llm applications via multi-agent conversation
Wu, Q.; Bansal, G.; Zhang, J.; Wu, Y.; Li, B.; Zhu, E.; Jiang, L.; Zhang, X.; Zhang, S.; Liu, J.; et al. 2023 · 2023
Cited alongside, same era.
Chain-of-experts: When llms meet complex operations research problems
Xiao, Z.; Zhang, D.; Wu, Y.; Xu, L.; Wang, Y. J.; Han, X.; Fu, X.; Zhong, T.; Zeng, J.; Song, M.; et al. 2023 · 2023
Cited alongside, same era.
Abdin, M.; Aneja, J.; Behl, H.; Bubeck, S.; Eldan, R.; Gunasekar, S.; Harrison, M.; Hewett, R. J.; Javaheripi, M.; Kauffmann, P.; et al. 2024 · 2024
Cited alongside, same era.
Opencodeinterpreter: Integrating code generation with execution and refinement
Zheng, T.; Zhang, G.; Shen, T.; Liu, X.; Lin, B. Y.; Fu, J.; Chen, W.; and Yue, X. 2024 · 2024
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Cursor - The AI Code Editor
Anysphere. 2025 · 2025
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Matharena: Evaluating llms on uncontaminated math competitions, February 2025
Balunovic, M.; Dekoninck, J.; Petrov, I.; Jovanovic, N.; and Vechev, M. 2025 · 2025
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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 · 2025
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Orlm: A customizable framework in training large models for automated optimization modeling
Huang, C.; Tang, Z.; Hu, S.; Jiang, R.; Zheng, X.; Ge, D.; Wang, B.; and Wang, Z. 2025 · 2025
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OptiMUS: Optimization Modeling Using mip Solvers and large language models
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Mamo: a mathematical modeling benchmark with solvers
Huang, X.; Shen, Q.; Hu, Y.; Gao, A.; and Wang, B. 2024 · 2024
Cited alongside, same era.
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 · 2024
Cited alongside, same era.
Liu, A.; Feng, B.; Xue, B.; Wang, B.; Wu, B.; Lu, C.; Zhao, C.; Deng, C.; Zhang, C.; Ruan, C.; et al. 2024 · 2024
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Tagged Input and Decode All-at-Once Strategy
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WirelessMathBench: A Mathematical Modeling Benchmark for LLMs in Wireless Communications
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Hello GPT-4o
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Learning to Reason with LLMs
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