Viktor Moskvoretskii

According to our database, Viktor Moskvoretskii authored at least 20 papers between 2023 and 2026.

Collaborative distances:

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

2026

Tracing Persona Vectors Through LLM Pretraining.

Viktor Moskvoretskii, Dominik Glandorf, Jorge Medina Moreira, Tanja Käser, Robert West

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

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

Do I look like a 'cat.n.01' to you? A Taxonomy Image Generation Benchmark.

Viktor Moskvoretskii, Alina Lobanova, Ekaterina Neminova, Chris Biemann, Alexander Panchenko, Irina Nikishina

CoRR, March, 2025

Self-Taught Self-Correction for Small Language Models.

Viktor Moskvoretskii, Chris Biemann, Irina Nikishina

CoRR, March, 2025

Challenges of Multi-Modal Coreset Selection for Depth Prediction.

Viktor Moskvoretskii, Narek Alvandian

CoRR, February, 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

Argument-Based Comparative Question Answering Evaluation Benchmark.

Irina Nikishina, Saba Anwar, Nikolay Dolgov, Maria Manina, Daria Ignatenko, Viktor Moskvoretskii, Artem Shelmanov, Tim Baldwin, Chris Biemann

CoRR, February, 2025

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home.

Viktor Moskvoretskii, Maria Lysyuk, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko

CoRR, January, 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

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA.

Sergey Pletenev, Maria Marina, Nikolay Ivanov, Daria Galimzianova, Nikita Krayko, Mikhail Salnikov, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LLM-Independent Adaptive RAG: Let the Question Speak for Itself.

Maria Marina, Nikolay Ivanov, Sergey Pletenev, Mikhail Salnikov, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 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

Adaptive Retrieval Without Self-Knowledge? Bringing Uncertainty Back Home.

Viktor Moskvoretskii, Maria Marina, Mikhail Salnikov, Nikolay Ivanov, Sergey Pletenev, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Irina Nikishina, Alexander Panchenko

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

2024

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks.

Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina

CoRR, 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

Low-Resource Machine Translation through the Lens of Personalized Federated Learning.

Viktor Moskvoretskii, Nazarii Tupitsa, Chris Biemann, Samuel Horváth, Eduard Gorbunov, Irina Nikishina

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning.

Viktor Moskvoretskii, Alexander Panchenko, Irina Nikishina

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks.

Viktor Moskvoretskii, Ekaterina Neminova, Alina Lobanova, Alexander Panchenko, Irina Nikishina

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

IMAD: IMage-Augmented multi-modal Dialogue.

Viktor Moskvoretskii, Anton Frolov, Denis Kuznetsov

CoRR, 2023