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Mikhail Seleznyov

xCOMET-lite: Bridging the Gap Between Efficiency and Quality in Learned MT Evaluation Metrics
2024 · Daniil Larionov, Mikhail Seleznyov, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
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When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs
2025 · Mikhail Seleznyov, Mikhail Chaichuk, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 2
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LANTERN: Illuminating Hidden Mathematical Knowledge in Language Models
2026 · Tikhonov, Pavel, Tutubalina, Elena, et al. · arXiv (Cornell University)
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Evolutionary Search for Automated Design of Uncertainty Quantification Methods
2026 · Association for Computational Linguistics 2026, Korbut, Daniil, et al. · Underline Science Inc.
Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
2026 · Association for Computational Linguistics 2026, Afonin, Nikita, et al. · Underline Science Inc.
Harnessing non-adversarial robustness in large language models
2026 · Zhou, Qinghua, Aleshina, Ellina, et al. · arXiv (Cornell University)
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Evolutionary Search for Automated Design of Uncertainty Quantification Methods
2026 · Seleznyov, Mikhail, Korbut, Daniil, et al. · arXiv (Cornell University)
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Breaking the Chain: A Causal Analysis of LLM Faithfulness to Intermediate Structures
2026 · Somov, Oleg, Chaichuk, Mikhail, et al. · arXiv (Cornell University)
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Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
2026 · Vazhentsev, Artem, Marina, Maria, et al. · arXiv (Cornell University)
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Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
2026 · Nikita Afonin, Nikita Andriianov, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Evolutionary Search for Automated Design of Uncertainty Quantification Methods
2026 · Mikhail Seleznyov, Daniil Korbut, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Obfuscated Activations Bypass LLM Latent-Space Defenses
2024 · Bailey, Luke, Serrano, Alex, et al. · arXiv (Cornell University)
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ViSTa Dataset: Do vision-language models understand sequential tasks?
2024 · Wybitul, Evžen, Gunter, Evan Ryan, et al. · arXiv (Cornell University)
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Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information
2024 · Sergey Pletenev, Daniil Moskovskiy, et al. · Lecture notes in computer science
Works count: 15
Citation count: 5
H-index: 2
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