Methods for Detoxification of Texts for the Russian Language. - Daryna Dementieva; Daniil Moskovskiy; Varvara Logacheva; David Dale; Olga Kozlova; Nikita Semenov; Alexander Panchenko (Multimodal Technol. Interact., 2021)

ParaDetox: Detoxification with Parallel Data. - Varvara Logacheva; Daryna Dementieva; Sergey Ustyantsev; Daniil Moskovskiy; David Dale; Irina Krotova; Nikita Semenov; Alexander Panchenko (ACL (1), 2022)

Exploring Cross-lingual Text Detoxification with Large Multilingual Language Models. - Daniil Moskovskiy; Daryna Dementieva; Alexander Panchenko (ACL (student), 2022)

Exploring Cross-lingual Textual Style Transfer with Large Multilingual Language Models. - Daniil Moskovskiy; Daryna Dementieva; Alexander Panchenko (CoRR, 2022)

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)

Exploring Methods for Cross-lingual Text Style Transfer: The Case of Text Detoxification. - Daryna Dementieva; Daniil Moskovskiy; David Dale; Alexander Panchenko (IJCNLP (1), 2023)

A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. - Sergey Pletenev; Viktoria Chekalina; Daniil Moskovskiy; Mikhail Seleznev; Sergey Zagoruyko; Alexander Panchenko (PACLIC, 2023)

MERA: A Comprehensive LLM Evaluation in Russian. - Alena Fenogenova; Artem Chervyakov; Nikita Martynov; Anastasia Kozlova; Maria Tikhonova; Albina Akhmetgareeva; Anton A. Emelyanov; Denis Shevelev; Pavel Lebedev; Leonid Sinev; Ulyana Isaeva; Katerina Kolomeytseva; et al. (ACL (1), 2024)

Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview. - Abinew Ali Ayele; Nikolay Babakov; Janek Bevendorff; Xavier Bonet Casals; Berta Chulvi; Daryna Dementieva; Ashaf Elnagar; Dayne Freitag; Maik Fröbe; Damir Korencic; Maximilian Mayerl; Daniil Moskovskiy; et al. (CLEF (2), 2024)

Overview of the Multilingual Text Detoxification Task at PAN 2024. - Daryna Dementieva; Daniil Moskovskiy; Nikolay Babakov; Abinew Ali Ayele; Naquee Rizwan; Florian Schneider 001; Xintong Wang 001; Seid Muhie Yimam; Dmitry Ustalov; Elisei Stakovskii; Alisa Smirnova; Ashraf Elnagar; et al. (CLEF (Working Notes), 2024)

LLMs to Replace Crowdsourcing For Parallel Data Creation? The Case of Text Detoxification. - Daniil Moskovskiy; Sergey Pletenev; Alexander Panchenko (EMNLP (Findings), 2024)

MERA: A Comprehensive LLM Evaluation in Russian. - Alena Fenogenova; Artem Chervyakov; Nikita Martynov; Anastasia Kozlova; Maria Tikhonova; Albina Akhmetgareeva; Anton A. Emelyanov; Denis Shevelev; Pavel Lebedev; Leonid Sinev; Ulyana Isaeva; Katerina Kolomeytseva; et al. (CoRR, 2024)

Demarked: A Strategy for Enhanced Abusive Speech Moderation through Counterspeech, Detoxification, and Message Management. - Seid Muhie Yimam; Daryna Dementieva; Tim Fischer 002; Daniil Moskovskiy; Naquee Rizwan; Punyajoy Saha; Sarthak Roy; Martin Semmann; Alexander Panchenko; Chris Biemann; Animesh Mukherjee 001 (CoRR, 2024)

HatePRISM: Policies, Platforms, and Research Integration. Advancing NLP for Hate Speech Proactive Mitigation. - Naquee Rizwan; Seid Muhie Yimam; Daryna Dementieva; Florian Skupin; Tim Fischer 002; Daniil Moskovskiy; Aarushi Ajay Borkar; Robert Geislinger; Punyajoy Saha; Sarthak Roy; Martin Semmann; Alexander Panchenko; et al. (ACL (Findings), 2025)

Multilingual and Explainable Text Detoxification with Parallel Corpora. - Daryna Dementieva; Nikolay Babakov; Amit Ronen; Abinew Ali Ayele; Naquee Rizwan; Florian Schneider 001; Xintong Wang 001; Seid Muhie Yimam; Daniil Alekhseevich Moskovskiy; Elisei Stakovskii; Eran Kaufman; Ashraf Elnagar; et al. (COLING, 2025)

SynthDetoxM: Modern LLMs are Few-Shot Parallel Detoxification Data Annotators. - Daniil Moskovskiy; Nikita Sushko; Sergey Pletenev; Elena Tutubalina; Alexander Panchenko (NAACL (Long Papers), 2025)

How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM? - Sergey Pletenev; Maria Marina; Daniil Moskovskiy; Vasily Konovalov; Pavel Braslavski 001; Alexander Panchenko; Mikhail Salnikov (NAACL (Findings), 2025)

Memory Efficient LM Compression Using Fisher Information from Low-Rank Representations. - Daniil Moskovskiy; Sergey Pletenev; Sergey Zagoruyko; Alexander Panchenko (NLDB (1), 2025)

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models. - Viktoriia Chekalina; Daniil Moskovskiy; Daria Cherniuk; Maxim Kurkin; Andrey Kuznetsov; Evgeny Frolov (CoRR, 2025)