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  • Разработка нового подхода к оценке эффективности налоговых льгот с учетом опыта их применения в субъектах Российской Федерации
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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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Разработка нового подхода к оценке эффективности налоговых льгот с учетом опыта их применения в субъектах Российской Федерации

Налоги и налогообложение. 2017. № 11. С. 1–8.
Kosov M.

The subject of the research is the tax rebates and their role in establishing relations with economic, entrepreneurial, financial, social and other spheres of life activity as well as financial relations regarding distribution of GDP between the state, business entities and population, the kind of relations that may arise in the process of developing and using tax rebates. In addition, the author of the article analyzes the current practice of using tax rebates in the Russian Federation and establishing the main forms of tax incentivization. The object of the research is the system of tax rebates in the Russian Federation. The methodological basis of the research is the combination of provisions of modern economic theory and theory of state regulation in the sphere of taxation, principles of logical and systems analysis and synthesis, methods of economic analysis and statistical grouping, and method of the table presentation of data. The rationale and novelty of the reserach are caused by the contradictory attitude to tax rebates demonstrated by different foreign and Russian economic schools. The author of the article pays special attention to the analysis of existing approaches to evaluation of tax rebates in terms of estimated figures of efficiency of productivity algorithms applied by the budgetary tax policy. The main conclusion and result of the research is the classification and qualitative analysis of current methods that are used to evaluate the efficiency of tax rebates at the regional level. The scientific novelty of the research is caused by the purpose, objectives, issues raised by the author and integral approach to studying the legal institution of tax rebates. 

 

Priority areas: economics
Language: Russian
DOI
Text on another site
Keywords: налоговая системабюджетэффективностьметодиканалоговые льготыefficiencyналогоценкарасходыподходregulationbudgetapproachtax systemtax benefitstaxналоговое регулированиеexpenditure
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