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Found 6 papers, 4 papers with code
Can LLMs Master Math? Investigating Large Language Models on Math Stack Exchange
In this study, we adopted a two-step approach for investigating the proficiency of LLMs in answering mathematical questions.
Taxonomy of Mathematical Plagiarism
Second, we analyze the best-performing approaches to detect plagiarism and mathematical content similarity on the newly established taxonomy.
Neural Machine Translation for Mathematical Formulae
We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages.
Collaborative and AI-aided Exam Question Generation using Wikidata in Education
To address this need, we propose a multilingual Wikimedia framework that allows for collaborative worldwide teacher knowledge engineering and subsequent AI-aided question generation, test, and correction.
Caching and Reproducibility: Making Data Science experiments faster and FAIRer
In that case, the overall effort to iteratively improve the software and rerun the experiments creates significant time pressure on the researchers.
Discovering Mathematical Objects of Interest -- A Study of Mathematical Notations
The contributions of our presented research are as follows: (1) we present the first distributional analysis of mathematical formulae on arXiv and zbMATH; (2) we retrieve relevant mathematical objects for given textual search queries (e. g., linking $P_{n}^{(\alpha, \beta)}\!\left(x\right)$ with `Jacobi polynomial'); (3) we extend zbMATH's search engine by providing relevant mathematical formulae; and (4) we exemplify the applicability of the results by presenting auto-completion for math inputs as the first contribution to math recommendation systems.
