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.
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.
Мн.: Белорусский государственный университет, 2020.
Представлены научные работы, принимавшие участие в конкурсе ГИС-проектов студентов и аспирантов учреждений высшего образования Республики Беларусь в рамках празднования международного Дня ГИС-2020 на факультете географии и геоинформатики Белорусского государственного университета. Адресуется специалистам по геоинформационным технологиям, географам, гидрометеорологам, экологам, геологам, студентам географических и геологических специальностей ...
Goncharova E., Гайдель А. В., В кн.: Сборник трудов IV Международной конференции и молодёжной школы "Информационные технологии и нанотехнологии" (ИТНТ 2018).: Самара: Предприятие "Новая техника", 2018. С. 620–630.
To improve the performance of remote sensing images multiclass classification we propose two greedy algorithms of feature selection. The discriminant analysis criterion and regression coefficients are used as the measure of feature subset effectiveness in the first and second methods, respectively. The main benefit of the built algorithms is that they estimate not the individual ...
Litvin Y. V., Аудит и финансовый анализ 2010 № 4 С. 266–272
In real situations, the work of project-oriented businesses takes place in conditions of high uncertainty. In particular, the moments of the receipt of project execution time, as well as costs and other factors are yutsya-random numbers with given or unknown to the laws of the distributions. Management capabilities offered by the use of stochastic process ...
