Mikhail Seleznyov

According to our database, Mikhail Seleznyov authored at least 10 papers between 2023 and 2026.

Collaborative distances:

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

2026

Harnessing non-adversarial robustness in large language models.

Qinghua Zhou, Ellina Aleshina, Andrey Lovyagin, Oleg Somov, Mikhail Seleznyov, Alexander Panchenko, Ivan V. Oseledets, Elena Tutubalina, Ivan Yu. Tyukin

CoRR, May, 2026

Evolutionary Search for Automated Design of Uncertainty Quantification Methods.

Mikhail Seleznyov, Daniil Korbut, Viktor Moskvoretskii, Oleg Somov, Alexander Panchenko, Elena Tutubalina

CoRR, April, 2026

Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures.

Oleg Somov, Mikhail Chaichuk, Mikhail Seleznyov, Alexander Panchenko, Elena Tutubalina

CoRR, March, 2026

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval.

Artem Vazhentsev, Maria Marina, Daniil Moskovskiy, Sergey Pletenev, Mikhail Seleznyov, Mikhail Salnikov, Elena Tutubalina, Vasily Konovalov, Irina Nikishina, Alexander Panchenko, Viktor Moskvoretskii

CoRR, March, 2026

2025

Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs.

Nikita Afonin, Nikita Andriyanov, Nikhil Bageshpura, Kyle Liu, Kevin Zhu, Sunishchal Dev, Ashwinee Panda, Alexander Panchenko, Oleg Rogov, Elena Tutubalina, Mikhail Seleznyov

CoRR, October, 2025

When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs.

Mikhail Seleznyov, Mikhail Chaichuk, Gleb Ershov, Alexander Panchenko, Elena Tutubalina, Oleg Somov

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

ViSTa Dataset: Do vision-language models understand sequential tasks?

Evzen Wybitul, Evan Ryan Gunter, Mikhail Seleznyov, David Lindner

CoRR, 2024

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics.

Daniil Larionov, Mikhail Seleznyov, Vasiliy Viskov, Alexander Panchenko, Steffen Eger

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information.

Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2023