Mathematics & AI

Mathematics & AI

Mathematics & AI is an open-access, peer-reviewed journal at the intersection of mathematics and artificial intelligence. The journal publishes original research in mathematical foundations of AI, machine learning theory, optimization, statistical learning, neural network analysis, computational mat...
Article #1019
Issue MathAI 2025 Selected Papers Special Issue
Received 29 Apr 2026
Accepted 15 May 2026
Published 22 May 2026

Using Knowledge Graph in Adapting Language Model on Mathematical Texts

T
Tuchkova
MathAI 2025 Selected Papers Special Issue
Published: May 22, 2026 Accepted: May 15, 2026 Received: April 29, 2026

Abstract

The subject of the study is the problem of adapting language models to scientific subject areas. The issues of expanding language models to mathematical subject areas are considered. It is proposed to use the knowledge graph of the subject area as a tool for `tuning' the language model. To build the knowledge graph, the ontology of the subject area of he semantic library of mathematical subject areas and their applications LibMeta is used. Navigation through the subject area is carried out using the knowledge graph and is limited by the terminology of the thesaurus and ontology links. This approach allows using the knowledge graph to create a digital assistant in a recommender system, an agent for a language model, and to feed mathematical text data to a language model.

Cite this article

Ataeva, O.M.; Tuchkova, N.P. Using Knowledge Graph in Adapting Language Model on Mathematical Texts. Mathematics & AI 2026, 1, 16. https://enigma.ist/j/mathematics-ai/1/1/16

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