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  • ПРИМЕНЕНИЕ СТИЛОМЕТРИИ ДЛЯ ОПРЕДЕЛЕНИЯ СГЕНЕРИРОВАННЫХ ТЕКСТОВ
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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?

ПРИМЕНЕНИЕ СТИЛОМЕТРИИ ДЛЯ ОПРЕДЕЛЕНИЯ СГЕНЕРИРОВАННЫХ ТЕКСТОВ

С. 176–182.
Е. А. Сальников, А. А. Бонч-Осмоловская
Language: Russian
Text on another site
Keywords: stylometryстилометрияBurrow's DeltaLarge Language ModelsБольшие языковые модели (LLMs)Дельта Бёрроуза

In book

Информационные технологии в гуманитарных исследованиях: Материалы Международной научно-практической конференции, Красноярск, 25–28 сентября 2023 г.
Сибирский федеральный университет, 2023.
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Recent studies suggest that context-aware low-rank approximation is a useful tool for compression and fine-tuning of modern large-scale neural networks. In this type of approximation, a norm is weighted by a matrix of input activations, significantly improving metrics over the unweighted case. Nevertheless, existing methods for neural networks suffer from numerical instabilities due to their ...
Added: April 29, 2026
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Generating and Debugging Java Code using LLMs based on Associative Recurrent Memory
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Automatic code generation by large language models (LLMs) has achieved significant success, yet it still faces challenges when dealing with complex and large codebases, especially in languages like Java. The limitations of LLM context windows and the complexity of debugging generated code are key obstacles. This paper presents an approach aimed at improving Java code generation and debugging. ...
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Искусственный интеллект как симулякр смысла
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In recent years, artificial intelligence (AI) has been actively integrated into everyday human life. Its popularity continues to grow steadily, and companies increasingly employ AI to optimize and accelerate workflows. Ordinary users leverage large language models (LLMs) and multimodal AI systems to perform a wide range of tasks, including generating texts, images, and videos; planning ...
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Introduction. Large language Models (LLM) are increasingly being used in social sciences to simulate the behavior of experimental participants and analyze norms of cooperation and justice. However, the question remains whether they are capable of reproducing social asymmetries, including gender differences. Goal. The work aims to test whether LLM reproduces gender differences in the Dictator ...
Added: October 27, 2025
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Currently, large language models are actively developing and beginning to be used to solve some mathematical problems. With the emergence of xLSTM model, which demonstrates the results comparable with transformer-based models, there has been a surge of interest in recurrent neural networks. This paper considers the application of baseline recurrent models such as LSTM and ...
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Despite the criticism, the standard chronology of Plato’s works continues to hold sway not only over “developmentalists”, but also over various types of “unitarians”. The authority of the standard chronology rests on the confidence that the division of the dialogues into three groups has been “proven” with quantitative methods. In addition to the general theoretical ...
Added: August 28, 2025
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Предлагается подход к автоматизированному извлечению и структурированию информации из текста, сочетающий веб-скрейпинг для сбора данных из онлайн-источников и большую языковую модель для их последующей интеллектуальной обработки. В качестве объекта исследования выбраны тексты новостных публикаций об уровнях готовности технологий с сайта CNews для апробации разработанной методики в рамках конкретной предметной области. Точность выделения моделью оценок технологической ...
Added: August 11, 2025
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The rapid adoption of artificial intelligence and large language models (LLMs) in higher education presents unique technical challenges. This article examines critical failures in LLM implementation across academic environments and provides practical strategies for successful integration. ...
Added: July 31, 2025
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