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  • Коньячку бы, да до дому: хронология развития некоторых форм второго родительного падежа
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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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Коньячку бы, да до дому: хронология развития некоторых форм второго родительного падежа

Труды института русского языка им. В.В. Виноградова. 2024. № 2(40). С. 261–282.
Budennaya E.

The article based on the material form Russian National Corpus discusses the diachronic development of structures with Russian second genitive case in three types of contexts: 1) with nominal quantifiers; 2) with the preposition bez  ‘without’; 3) with the preposition do ‘towards’. The data obtained from Russian language are compared with the data from other languages (Finnic and several Turkic), in which there is a tendency to use the partitive case in non-affirmative clauses. The results of the study show that in all three types of the studied contexts one can observe the partitive semantics of GEN2. In addition, the partitive u-flexion of GEN2 primarily spreads in the 15th century in deverbal nouns expressing a result or an action itself (constructions like bez razboru ‘without sorting’, bez sprosu ‘without asking’, etc.), as well as in deverbal nouns expressing process or state (constructions like do zvonu ‘before the bell’, do sroku ‘before the term’, etc.). Subsequently, GEN2 in the studied contexts develops differently: in all combinations, except for nouns with a defective paradigm, the forms of the regular genitive in -a gradually replace those of GEN2, but for diminutives, including those formed from borrowings, in constructions with nominal quantifiers, the GEN2-pattern is still in use. In addition, the distribution of the standard genitive and of the GEN2-forms in conditional mood with the particle by suggests a tendency to use GEN2 in Russian non-assertive contexts, which is common in a number of different languages.

Research target: Philology and Linguistics
Language: Russian
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Keywords: русский языккорпусная лингвистикаRussian languagecorpus linguisticsдиахронический анализвторой родительныйпартитивHistorical LinguisticsGenitive casepartitive case
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