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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.
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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База данных для исследования вариативности твердых/мягких согласных перед е в заимствованных словах

С. 528–539.
Perova D., Бондаренко К. Е., Dobrushina N.

The paper presents the initial/preparatory stage of the study of variation of hard/soft consonants before e in loanwords (ka[f]e). The main goal is to compile a database ofrelevant words for use in sociolinguistic research. The database is based on the list of word forms containing relevant contexts in users’ queries to Yandex. All entries in the database are annotated for parameters that may be important in a variational study of the phenomenon. The article describes how the list was compiled and the principles of its annotation. The latter includes the consonant, the position of the consonant re the stressed syllable, the type of syllable where it occurs (open/closed), the year of the first occurrence of the word in Russian National Corpus; the language from which it was borrowed; its frequency. The database may be used to select stimuli for experimental studies of variation in modern speech and of its social correlates (age, gender, education, etc).

Language: Russian
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Keywords: социолингвистиказаимствованиявариативностьsociolinguisticsvariationloanwordssociophoneticsсоциофонетикаhard / soft consonantsтвердость / мягкость согласных

In book

Компьютерная лингвистика и интеллектуальные технологии: По материалам ежегодной международной конференции «Диалог» (Москва,1–4 июля 2016 г.)
Вып. 15. , М.: Изд-во РГГУ, 2016.
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