Egor Shvetsov

According to our database, Egor Shvetsov authored at least 13 papers between 2024 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

How to model Human Actions distribution with Event Sequence Data.

Egor Surkov, Dmitry Osin, Evgeny Burnaev, Egor Shvetsov

CoRR, October, 2025

From Internal Representations to Text Quality: A Geometric Approach to LLM Evaluation.

Viacheslav Yusupov, Danil Maksimov, Ameliia Alaeva, Anna Vasileva, Antipina Anna, Tatyana Zaitseva, Alina Ermilova, Evgeny Burnaev, Egor Shvetsov

CoRR, September, 2025

Lightweight error mitigation strategies for post-training N:M activation sparsity in LLMs.

Shirin Alanova, Kristina Kazistova, Ekaterina Galaeva, Alina Kostromina, Vladimir Smirnov, Dmitry Redko, Alexey Dontsov, Maxim Zhelnin, Evgeny Burnaev, Egor Shvetsov

CoRR, September, 2025

Faster and Memory-Efficient Training of Sequential Recommendation Models for Large Catalogs.

Maxim Zhelnin, Dmitry Redko, Volkov Daniil, Anna Volodkevich, Petr Sokerin, Valeriy Shevchenko, Egor Shvetsov, Alexey Vasilev, Darya Denisova, Ruslan Izmailov, Alexey Zaytsev

CoRR, September, 2025

Token Homogenization under Positional Bias.

Viacheslav Yusupov, Danil Maksimov, Ameliia Alaeva, Tatiana Zaitceva, Antipina Anna, Anna Vasileva, Chenlin Liu, Rayuth Chheng, Danil Sazanakov, Andrey Chetvergov, Alina Ermilova, Egor Shvetsov

CoRR, August, 2025

From 2:4 to 8:16 sparsity patterns in LLMs for Outliers and Weights with Variance Correction.

Egor Maximov, Yulia Kuzkina, Azamat Kanametov, Alexander Prutko, Aleksei Goncharov, Maxim Zhelnin, Egor Shvetsov

CoRR, July, 2025

Position of Uncertainty: A Cross-Linguistic Study of Positional Bias in Large Language Models.

Menschikov Mikhail, Alexander Kharitonov, Maiia Kotyga, Vadim Porvatov, Anna Zhukovskaya, David Kagramanyan, Egor Shvetsov, Evgeny Burnaev

CoRR, May, 2025

Investigating the Impact of Quantization Methods on the Safety and Reliability of Large Language Models.

Artyom Kharinaev, Viktor Moskvoretskii, Egor Shvetsov, Kseniia Studenikina, Bykov Mikhail, Evgeny Burnaev

CoRR, February, 2025

EBES: Easy Benchmarking for Event Sequences.

Dmitry Osin, Igor Udovichenko, Egor Shvetsov, Viktor Moskvoretskii, Evgeny Burnaev

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

GIFT-SW: Gaussian noise Injected Fine-Tuning of Salient Weights for LLMs.

Maxim Zhelnin, Viktor Moskvoretskii, Egor Shvetsov, Mariya Krylova, Egor Venediktov, Aleksandr Zuev, Evgeny Burnaev

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Self-Supervised Learning in Event Sequences: A Comparative Study and Hybrid Approach of Generative Modeling and Contrastive Learning.

Viktor Moskvoretskii, Dmitry Osin, Egor Shvetsov, Igor Udovichenko, Maxim Zhelnin, Andrey Dukhovny, Anna Zhimerikina, Albert Efimov, Evgeny Burnaev

CoRR, 2024

SeqNAS: Neural Architecture Search for Event Sequence Classification.

Igor Udovichenko, Egor Shvetsov, Denis Divitsky, Dmitry Osin, Ilya Trofimov, Ivan Sukharev, Anatoliy Glushenko, Dmitry Berestnev, Evgeny Burnaev

IEEE Access, 2024

QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise.

Egor Shvetsov, Dmitry Osin, Alexey Zaytsev, Ivan Koryakovskiy, Valentin Buchnev, Ilya Trofimov, Evgeny Burnaev

IEEE Access, 2024