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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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Значение теории К-представлений для исследований по автоматическому выявлению семантических ролей

Информационные технологии. 2015. Т. 21. № 6. С. 403–411.
Фомичев В.А., Разоренов А.А.

The paper shows an incompleteness of theoretical foundations of the Computational Semantics branches called Semantic Role Labeling and Frame-Semantic Parsing. This situation is a consequence of a seeming lack of a semantic formalism allowing to describe semantic structures of complex sentences and discourses pertaining to arbitrary application domains. It is concluded that the theory of K-representations (knowledge representations) provides a formalism of the kind, determining a new class of formal languages — the class of SK-languages (standard knowledge languages). Some new expressive mechanisms of SK-languages are illustrated. The central ideas of a method of semantic parsing of natural language (NL) texts proposed by the theory of K-representations are set forth. The method employs the class of SK-languages for constructing semantic representations of texts. The final part of the paper considers the application of the method to designing NL-interfaces for software management. A file manager with a NL-interface NLC-1 (Natural Language Commander — Version One) has been developed, the system is implemented with the help of the functional programming language Haskell.

Priority areas: IT and mathematics
Language: Russian
Full text
Keywords: естественный языкСК-языкиSK-languagetheory of K-representationssemantic representationnatural languagesoftware managementsemantic role labelingNatural Language CommanderHaskelllinguistic databaseлингвистическая база данныхsemantic-syntactic analysis of textssemantic parsingframe-semantic parsingfile system natural language managementсемантико-синтаксический анализ текстоввыявление семантических pолейфpеймово-семантический анализсемантическое пpедставлениетеоpия К-пpедставленийупpавление пpогpаммным обеспечениеместественно-языковое упpавление файловой системойNatural Language CommanderHaskell
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