Improving Math Problem Solving in Large Language Models Through Categorization and Strategy Tailoring

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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Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou · 2022

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The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4

Original

Microsoft Research AI4Science and Microsoft Azure Quantum · 2023

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Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W. Cohen · 2023

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ChatGPT’s Math Accuracy Decline and What That Has to Do With Content Creation

Jenn Greenleaf · 2023

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Solving Math Word Problems by Combining Language Models With Symbolic Solvers

Original

Joy He-Yueya, Gabriel Poesia, Rose E. Wang, and Noah D. Goodman · 2023

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Give me a hint: Can LLMs take a hint to solve math problems?

Original

Vansh Agrawal, Pratham Singla, Amitoj Singh Miglani, Shivank Garg, and Ayush Mangal · 2024

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Large language models for mathematical reasoning: Progresses and challenges

Janice Ahn, Rishu Verma, Renze Lou, Di Liu, Rui Zhang, and Wenpeng Yin · 2024

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Cutting Through the Noise: Boosting LLM Performance on Math Word Problems

Original

Ujjwala Anantheswaran, Himanshu Gupta, Kevin Scaria, Shreyas Verma, Chitta Baral, and Swaroop Mishra · 2024

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Saullm-7b: A pioneering large language model for law, 2024

Pierre Colombo, Telmo Pessoa Pires, Malik Boudiaf, Dominic Culver, Rui Melo, Caio Corro, Andre F. T. Martins, Fabrizio Esposito, Vera Lúcia Raposo, Sofia Morgado, and Michael Desa · 2024

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A survey on in-context learning, 2024

Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Tianyu Liu, Baobao Chang, Xu Sun, Lei Li, and Zhifang Sui · 2024

Cited alongside, same era.

The Impact of Large Language Models in Academia: from Writing to Speaking

Original

Mingmeng Geng, Caixi Chen, Yanru Wu, Dongping Chen, Yao Wan, and Pan Zhou · 2024

A survey of large language models for financial applications: Progress, prospects and challenges, 2024

Yuqi Nie, Yaxuan Kong, Xiaowen Dong, John M. Mulvey, H. Vincent Poor, Qingsong Wen, and Stefan Zohren · 2024

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DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Original

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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What Makes Math Word Problems Challenging for LLMs?

Aditya Srivatsa and Ekaterina Kochmar · 2024

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AI achieves silver-medal standard solving international mathematical olympiad problems

Google DeepMind AlphaProof/AlphaGeometry teams · 2024

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Solving olympiad geometry without human demonstrations

Trieu Trinh, Yuhuai Tony Wu, Quoc Le, He He, and Thang Luong · 2024

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