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News
June 5, 2026
Neural Network Maps as a Method for Constructing Mathematical Models
Scientists from HSE University–Nizhny Novgorod and the Institute of Physics Belgrade, Serbia, are jointly exploring the application of machine learning techniques and neural networks to the study of nonlinear dynamics. Natalya Stankevich, Leading Research Fellow at the Laboratory of Topological Methods in Dynamics of the Faculty of Informatics, Mathematics, and Computer Science at HSE University–Nizhny Novgorod, spoke to the HSE News Service about this international project.
June 5, 2026
‘In the Age of Technology, It Is Interesting to Look into the Past and Think about What We Can Take from It
Polina Tabakova decided to apply for a Philology degree at HSE in Nizhny Novgorod because she grew up in Mari El and did not want to move far away from the Russian forests. In an interview for the Young Scientists of HSE University project, she spoke about the genre of the campus novel, the existential drama of Kolobok, and a blackout version of Eugene Onegin.
June 5, 2026
HSE Scientists Develop Method to Compress Large Language Models Without Losing Quality
Researchers from the AI and Digital Science Institute at the HSE Faculty of Computer Science have developed a new compression method for large language models such as GPT and LLaMA that reduces their size by 25–36% without additional training or significant loss of accuracy. This is the first approach to use mathematical transformations—specifically, rotations of model weights—to make models more amenable to compression with structured matrices. The study results have been published in ACL Findings 2025. The code is available on GitHub.

 

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The Numerical Ratio Effect for Digits and Number Words: the Lack of Individual Differences

2023.
Kuzmina Y., Yusupova E.
In the current study, we inspected the numerical ratio effect (NRE) for digits and number words in a comparison task using a large sample of third-graders (N=1383, mean age was 9.84 years, 49% were girls) and applied linear mixed effects models to estimate the average NRE and its between-individual variability. An analysis demonstrated that the sample average NRE was significant for both digits and number words. For digits and number words, reaction time (RT) increased, while the numerical ratio between two compared numbers increased, although the patterns of changes were different for digits and number words. An inspection of between-individual variance in the NRE revealed that the NRE has no between-individual variance independent of variance in RT.
Research target: Psychology Education
Language: English
Full text
Keywords: individual differencessymbolic representationnumber wordsdigitsnumerical ratio effect
Publication based on the results of:
The investigation of changes in academic heterogeneity of elementary school students: transitions from group with learning difficulties to group with educational success (2022)
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