AGRR 2019: Corpus for Gapping Resolution in Russian. - Maria Ponomareva; Kira Droganova; Ivan Smurov; Tatiana Shavrina (BSNLP@ACL, 2019)

DaNetQA: A Yes/No Question Answering Dataset for the Russian Language. - Taisia Glushkova; Alexey Machnev; Alena Fenogenova; Tatiana Shavrina; Ekaterina Artemova; Dmitry I. Ignatov (AIST, 2020)

RussianSuperGLUE: A Russian Language Understanding Evaluation Benchmark. - Tatiana Shavrina; Alena Fenogenova; Anton A. Emelyanov; Denis Shevelev; Ekaterina Artemova; Valentin Malykh; Vladislav Mikhailov; Maria Tikhonova; Andrey Chertok; Andrey Evlampiev (EMNLP (1), 2020)

Humans Keep It One Hundred: an Overview of AI Journey. - Tatiana Shavrina; Anton A. Emelyanov; Alena Fenogenova; Vadim Fomin; Vladislav Mikhailov; Andrey Evlampiev; Valentin Malykh; Vladimir Larin; Alex Natekin; Aleksandr Vatulin; Peter Romov; Daniil Anastasiev; et al. (LREC, 2020)

Domain-Transferable Method for Named Entity Recognition Task. - Vladislav Mikhailov; Tatiana Shavrina (CoRR, 2020)

Building a Bilingual QA-system with ruGPT-3. - Tatiana Shavrina; Dina Pisarevskaya; Valentin Malykh (AIST, 2021)

MOROCCO: Model Resource Comparison Framework. - Valentin Malykh; Alexander Kukushkin; Ekaterina Artemova; Vladislav Mikhailov; Maria Tikhonova; Tatiana Shavrina (CoRR, 2021)

How not to Lie with a Benchmark: Rearranging NLP Leaderboards. - Tatiana Shavrina; Valentin Malykh (CoRR, 2021)

Universal and Independent: Multilingual Probing Framework for Exhaustive Model Interpretation and Evaluation. - Oleg Serikov; Vitaly Protasov; Ekaterina Voloshina; Viktoria Knyazkova; Tatiana Shavrina (BlackboxNLP@EMNLP, 2022)

TAPE: Assessing Few-shot Russian Language Understanding. - Ekaterina Taktasheva; Alena Fenogenova; Denis Shevelev; Nadezhda Katricheva; Maria Tikhonova; Albina Akhmetgareeva; Oleg Zinkevich; Anastasiia Bashmakova; Svetlana Iordanskaia; Valentina Kurenshchikova; Alena Spiridonova; Ekaterina Artemova; et al. (EMNLP (Findings), 2022)

Attention Understands Semantic Relations. - Anastasia Chizhikova; Sanzhar Murzakhmetov; Oleg Serikov; Tatiana Shavrina; Mikhail Burtsev 001 (LREC, 2022)

Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP models. - Alena Fenogenova; Maria Tikhonova; Vladislav Mikhailov; Tatiana Shavrina; Anton A. Emelyanov; Denis Shevelev; Alexander Kukushkin; Valentin Malykh; Ekaterina Artemova (CoRR, 2022)

RuCLIP - new models and experiments: a technical report. - Alex Shonenkov; Andrey Kuznetsov; Denis Dimitrov; Tatiana Shavrina; Daniil Chesakov; Anastasia Maltseva; Alena Fenogenova; Igor Pavlov; Anton A. Emelyanov; Sergey Markov; Daria Bakshandaeva; Vera Shybaeva; et al. (CoRR, 2022)

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian. - Tatiana Shamardina; Vladislav Mikhailov; Daniil Cherniavskii; Alena Fenogenova; Marat Saidov; Anastasiya Valeeva; Tatiana Shavrina; Ivan Smurov; Elena Tutubalina; Ekaterina Artemova (CoRR, 2022)

Is neural language acquisition similar to natural? A chronological probing study. - Ekaterina Voloshina; Oleg Serikov; Tatiana Shavrina (CoRR, 2022)

Vote'n'Rank: Revision of Benchmarking with Social Choice Theory. - Mark Rofin; Vladislav Mikhailov; Mikhail Florinsky; Andrey Kravchenko; Tatiana Shavrina; Elena Tutubalina; Daniel Karabekyan; Ekaterina Artemova (EACL, 2023)

A Family of Pretrained Transformer Language Models for Russian. - Dmitry Zmitrovich; Alexander Abramov; Andrey Kalmykov; Maria Tikhonova; Ekaterina Taktasheva; Danil Astafurov; Mark Baushenko; Artem Snegirev; Tatiana Shavrina; Sergey Markov; Vladislav Mikhailov; Alena Fenogenova (CoRR, 2023)

Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task. - Maria Tikhonova; Vladislav Mikhailov; Dina Pisarevskaya; Valentin Malykh; Tatiana Shavrina (Nat. Lang. Eng., 2023)

Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task - CORRIGENDUM. - Maria Tikhonova; Vladislav Mikhailov; Dina Pisarevskaya; Valentin Malykh; Tatiana Shavrina (Nat. Lang. Eng., 2023)

A Family of Pretrained Transformer Language Models for Russian. - Dmitry Zmitrovich; Aleksandr Abramov; Andrey Kalmykov; Vitaly Kadulin; Maria Tikhonova; Ekaterina Taktasheva; Danil Astafurov; Mark Baushenko; Artem Snegirev; Tatiana Shavrina; Sergei S. Markov; Vladislav Mikhailov; et al. (LREC/COLING, 2024)

EAI: Emotional Decision-Making of LLMs in Strategic Games and Ethical Dilemmas. - Mikhail Mozikov; Nikita Severin; Valeria Bodishtianu; Maria Glushanina; Ivan Nasonov; Daniil Orekhov; Pekhotin Vladislav; Ivan Makovetskiy; Mikhail Baklashkin; Vasily Lavrentyev; Akim Tsvigun; Denis Turdakov; et al. (NeurIPS, 2024)

From MTEB to MTOB: Retrieval-Augmented Classification for Descriptive Grammars. - Albert Kornilov; Tatiana Shavrina (CoRR, 2024)

mGPT: Few-Shot Learners Go Multilingual. - Oleh Shliazhko; Alena Fenogenova; Maria Tikhonova; Anastasia Kozlova; Vladislav Mikhailov; Tatiana Shavrina (Trans. Assoc. Comput. Linguistics, 2024)

MLGym: A New Framework and Benchmark for Advancing AI Research Agents. - Deepak Nathani; Lovish Madaan; Nicholas Roberts; Nikolay Bashlykov; Ajay Menon; Vincent Moens; Amar Budhiraja; Despoina Magka; Vladislav Vorotilov; Gaurav Chaurasia; Dieuwke Hupkes; Ricardo Silveira Cabral; et al. (CoRR, 2025)

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. - Bingchen Zhao; Despoina Magka; Minqi Jiang; Xian Li; Roberta Raileanu; Tatiana Shavrina; Jean-Christophe Gagnon-Audet; Kelvin Niu; Shagun Sodhani; Michael Shvartsman; Andrei Lupu; Alisia Maria Lupidi; et al. (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)