QuantNAS for Super Resolution: Searching for Efficient Quantization-Friendly Architectures Against Quantization Noise. - Egor Shvetsov; Dmitry Osin; Alexey Zaytsev 002; Ivan Koryakovskiy; Valentin Buchnev; Ilya Trofimov; Evgeny Burnaev (IEEE Access, 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)

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)

EBES: Easy Benchmarking for Event Sequences. - Dmitry Osin; Igor Udovichenko; Viktor Moskvoretskii; Egor Shvetsov; Evgeny Burnaev (CoRR, 2024)

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 (ACL (1), 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, 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, 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, 2025)