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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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Рентгеновское гало пульсара 4U 1538–52 по данным обсерватории СРГ

Письма в Астрономический журнал. 2023. Т. 49. № 5. С. 335–344.
Shtykovsky A. E., Lutovinov A., Кривонос Р. А., Гильфанов М. Р., Медведев П. С., Мереминский И. А., Арефьев В. А., Мольков С. В., Сюняев Р. А.

We present the first results of the SRG observation of the pulsar 4U 1538–52 based on ARC-XC and eROSITA data. An extended emission in the form of a halo is detected around the source in the 0.5–8 keV energy band. Our simulation has shown that its surface brightness distribution can be described by a two-component model composed of a flat disk ∼250′′ in radius and a beta-model with a characteristic size ∼480′′. We have constructed a broadband spectrum of 4U 1538–52 in the energy range 0.5–30 keV, which can be fitted by a weakly absorbed (Nh≃0.7×1022 cm−2) power law with a high-energy cutoff. In addition, iron emission lines are detected in the pulsar spectrum at 6–7 keV. We show that the observed halo spectrum is considerably softer (a power-law index ≃2.8) than the pulsar spectrum (a power-law index ≃0.9), consistent with the predictions of theoretical models for the X-ray scattering by dust.

Research target: Physics
Language: Russian
DOI
Text on another site
Keywords: neutron starsнейтронные звезды4U 1538–52X-ray pulsars4U 1538-52рентгеновские пульсары
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