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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.
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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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Adolescent agency and behavioral characteristics: conformity, problematic behavior, need for cognition

Frontiers in Psychology. 2025. Vol. 16. Article 1410170.
Mikhail Goshin, Grigoryev D., Pavel Sorokin

The concept of human agency has attracted considerable interest in academic and expert discussions concerning various life domains and age groups, including adolescents. However, the field lacks a unified approach to measuring agency for adolescents and understanding its relationship with their behavioral characteristics and attitudes. This  study addresses these gaps by introducing an Adolescent Agency Index and examining its associations with  behavioral characteristics such as сonformity, problematic behavior, and the need for cognition. The data was collected from students in grades 4 to 8 (N = 4,603; Mage = 12.6, SD = 1.7; 50.3% female). The analyses indicated a negative relationship between agency and conformity and a positive relationship between agency and problematic
behavior; moreover, a stronger positive relationship was found with the need for cognition. At the same time, the nature of the relationship between agency and these characteristics is complex, non-linear. These findings provide valuable insights for educational policymakers, researchers, and families. 

Research target: Education
Language: English
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Keywords: conformityagencyneed for cognitionbehavioral characteristics of adolescentsproblematic behavior
Publication based on the results of:
How do education systems contribute to development of agency: state of the art and windows of opportunities in the comparative framework (2023)
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