Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. - Sergey Pletenev; Daniil Moskovskiy; Viktoria Chekalina; Mikhail Seleznyov; Sergey Zagoruyko; Alexander Panchenko (AIST, 2023)

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics. - Daniil Larionov; Mikhail Seleznyov; Vasiliy Viskov; Alexander Panchenko; Steffen Eger (EMNLP, 2024)

ViSTa Dataset: Do vision-language models understand sequential tasks? - Evzen Wybitul; Evan Ryan Gunter; Mikhail Seleznyov; David Lindner (CoRR, 2024)

Obfuscated Activations Bypass LLM Latent-Space Defenses. - Luke Bailey; Alex Serrano; Abhay Sheshadri; Mikhail Seleznyov; Jordan Taylor; Erik Jenner; Jacob Hilton; Stephen Casper; Carlos Guestrin; Scott Emmons (CoRR, 2024)