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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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На что ориентируются учителя начальных классов в своих ожиданиях относительно академической успешности учащихся

Вопросы образования. 2023. № 1. С. 273–297.
Yusupova E.

The study examines the relationship between teacher’s expectations and academic and socioemotional skills at the start of primary school students. The main hypothesis is that the relationship between teacher expectations and students’ socioemotional skills differs for students with different levels of academic performance. The study sample consists of 4,430 first-graders (51% girls, median age 7) enrolled in 249 classes. It has been figured out that teacher expectations are predicted both by students academic performance and by students socioemotional skills. In addition to the expected outcome that high academic performance is associated with favorable teacher expectations, socioemotional characteristics are also positively associated with expectations. Moreover, the effect is enhanced for children with low academic performance. 

Research target: Education
Language: Russian
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Keywords: коммуникацияcommunicationсамоконтрольreading skillsначальная школаself-control primary schoolteachers expectationsmath skillsожидания учителячитательские навыкиматематические навыки
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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