1 code implementation • 30 Mar 2024 • Ankit Satpute, Noah Giessing, Andre Greiner-Petter, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp
In this study, we adopted a two-step approach for investigating the proficiency of LLMs in answering mathematical questions.
1 code implementation • 30 Jan 2024 • Ankit Satpute, Andre Greiner-Petter, Noah Gießing, Isabel Beckenbach, Moritz Schubotz, Olaf Teschke, Akiko Aizawa, Bela Gipp
Second, we analyze the best-performing approaches to detect plagiarism and mathematical content similarity on the newly established taxonomy.
no code implementations • 25 May 2023 • Felix Petersen, Moritz Schubotz, Andre Greiner-Petter, Bela Gipp
We tackle the problem of neural machine translation of mathematical formulae between ambiguous presentation languages and unambiguous content languages.
1 code implementation • 15 Nov 2022 • Philipp Scharpf, Moritz Schubotz, Andreas Spitz, Andre Greiner-Petter, Bela Gipp
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.
no code implementations • 8 Nov 2022 • Moritz Schubotz, Ankit Satpute, Andre Greiner-Petter, Akiko Aizawa, Bela Gipp
In that case, the overall effort to iteratively improve the software and rerun the experiments creates significant time pressure on the researchers.
1 code implementation • 7 Feb 2020 • Andre Greiner-Petter, Moritz Schubotz, Fabian Mueller, Corinna Breitinger, Howard S. Cohl, Akiko Aizawa, Bela Gipp
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.