IMAD: IMage-Augmented multi-modal Dialogue. - Viktor Moskvoretskii; Anton Frolov 001; Denis Kuznetsov (CoRR, 2023)

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Semantic Tasks. - Viktor Moskvoretskii; Ekaterina Neminova; Alina Lobanova; Alexander Panchenko; Irina Nikishina (ACL (1), 2024)

Are Large Language Models Good at Lexical Semantics? A Case of Taxonomy Learning. - Viktor Moskvoretskii; Alexander Panchenko; Irina Nikishina (LREC/COLING, 2024)

Low-Resource Machine Translation through the Lens of Personalized Federated Learning. - Viktor Moskvoretskii; Nazarii Tupitsa; Chris Biemann; Samuel Horváth; Eduard Gorbunov; Irina Nikishina (EMNLP (Findings), 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)

TaxoLLaMA: WordNet-based Model for Solving Multiple Lexical Sematic Tasks. - Viktor Moskvoretskii; Ekaterina Neminova; Alina Lobanova; Alexander Panchenko; Irina Nikishina (CoRR, 2024)

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

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 (ACL (1), 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 (ACL (1), 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, 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, 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)

Challenges of Multi-Modal Coreset Selection for Depth Prediction. - Viktor Moskvoretskii; Narek Alvandian (CoRR, 2025)

Self-Taught Self-Correction for Small Language Models. - Viktor Moskvoretskii; Chris Biemann; Irina Nikishina (CoRR, 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, 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 (CoRR, 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 (CoRR, 2025)