Challenging Deepseek-R1 with Serbian High School Math Competition Problems

This paper investigates the application of the large language model DeepSeekR1 in solving problems from the Serbian National athematics Competition for high school students (2023/2024), with the aim of examining its ability to understand, reason, and generate accurate mathematical solutions

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.15308/sinteza-2025-274-280
Primary Topic
Sports Analytics and Performance
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Challenging Deepseek-R1 with Serbian High School Math Competition Problems

Marina Švičević, Nemanja Vučićević, Aleksandar Milenković
Sports Analytics and Performance
article

Challenging Deepseek-R1 with Serbian High School Math Competition Problems

Marina Švičević, Nemanja Vučićević, Aleksandar Milenković
article en

Abstract

This paper investigates the application of the large language model DeepSeekR1 in solving problems from the Serbian National athematics Competition for high school students (2023/2024), with the aim of examining its ability to understand, reason, and generate accurate mathematical solutions

Quality Education
Openalex Percentile: Top 80%
Sports Analytics and Performance
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Challenging Deepseek-R1 with Serbian High School Math Competition Problems — Marina Švičević, Nemanja Vučićević, et al. · (2025) | TGRS Research Map | TGRS