… Many intellectual endeavors require mathematical problem solving, but this skill … learning
models, we introduce MATH, a new dataset of 12,500 challenging competition mathematics …

… To provide an external benchmark for the capability of neural network models trained on
our dataset, we tested the trained Transformer model on a set of 40 questions selected from …

… We sought, therefore, to use mathematical modelling to provide the first estimates of the
impact of combined prevention, diagnosis, and treatment programmes on the global HCV …

… We begin this introduction to mathematical modeling and simulation with an explanation of
… , model, simulation, and mathematical model, reflections on the objectives of mathematical …

… We show that by training a large language model on a high quality mathematical dataset,
we are able to achieve strong performance on tasks that require logical reasoning, numerical …

… In this paper, a review of the mathematical modeling and artificial intelligence used in the …
The paper is divided into three parts, the first presents the mathematical models used in the …

… that underlie deep learning from an applied mathematics perspective. … in mathematics who
are keen to learn about the area. The article may also be useful for instructors in mathematics …

… We aimed to quantify the global impact of the first year of COVID-19 vaccination …
Mathematical models are a valuable tool for quantifying the impact of vaccination campaigns on …

… [1–10], and available mathematical models have been used to track and anticipate the … of
conventional models towards tailored ones. Here, we propose mathematical model particularly …

… as the base models to train reward models for GSM8K and MATH, respectively. For reinforcement
learning, we choose Mistral-7B as the base model to train reward models and use it to …