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Maria Tikhonova
Maria Tikhonova
Other namesM Tikhonova, Tikhonova M., Tikhonova M. I.
HSE University
Verified email at hse.ru
Title
Cited by
Cited by
Year
mgpt: Few-shot learners go multilingual
O Shliazhko, A Fenogenova, M Tikhonova, V Mikhailov, A Kozlova, ...
arXiv preprint arXiv:2204.07580, 2022
1182022
RussianSuperGLUE: A Russian language understanding evaluation benchmark
T Shavrina, A Fenogenova, A Emelyanov, D Shevelev, E Artemova, ...
arXiv preprint arXiv:2010.15925, 2020
862020
A family of pretrained transformer language models for Russian
D Zmitrovich, A Abramov, A Kalmykov, M Tikhonova, E Taktasheva, ...
arXiv preprint arXiv:2309.10931, 2023
382023
mgpt: Few-shot learners go multilingual
O Shliazhko, A Fenogenova, M Tikhonova, A Kozlova, V Mikhailov, ...
Transactions of the Association for Computational Linguistics 12, 58-79, 2024
262024
Mera: A comprehensive llm evaluation in russian
A Fenogenova, A Chervyakov, N Martynov, A Kozlova, M Tikhonova, ...
arXiv preprint arXiv:2401.04531, 2024
122024
NLP methods for automatic candidate’s CV segmentation
M Tikhonova, A Gavrishchuk
2019 International Conference on Engineering and Telecommunication (EnT), 1-5, 2019
102019
TAPE: Assessing few-shot Russian language understanding
E Taktasheva, T Shavrina, A Fenogenova, D Shevelev, N Katricheva, ...
arXiv preprint arXiv:2210.12813, 2022
92022
The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design
A Snegirev, M Tikhonova, A Maksimova, A Fenogenova, A Abramov
arXiv preprint arXiv:2408.12503, 2024
62024
Russian superglue 1.1: Revising the lessons not learned by russian nlp models
A Fenogenova, M Tikhonova, V Mikhailov, T Shavrina, A Emelyanov, ...
arXiv preprint arXiv:2202.07791, 2022
52022
Continuous prompt tuning for russian: how to learn prompts efficiently with rugpt3?
N Konodyuk, M Tikhonova
International Conference on Analysis of Images, Social Networks and Texts, 30-40, 2021
52021
mGPT: few-shot learners go multilingual (2022)
O Shliazhko, A Fenogenova, M Tikhonova, V Mikhailov, A Kozlova, ...
URL https://arxiv. org/abs/2204.07580, 0
5
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task
M Tikhonova, V Mikhailov, D Pisarevskaya, V Malykh, T Shavrina
Natural Language Engineering 29 (3), 554-583, 2023
32023
Dish-ID: A neural-based method for ingredient extraction and further recipe suggestion
I Shchuka, S Miftakhov, V Patrushev, M Tikhonova, A Fenogenova
2020 international conference engineering and telecommunication (En&T), 1-5, 2020
32020
Parameter-Efficient Tuning of Transformer Models for Anglicism Detection and Substitution in Russian [C]
D Lukichev, D Kryanina, A Bystrova, A Fenogenova, M Tikhonova
Proceedings of the International Conference “Dialogue 2023, 2023
22023
Text Mining for Evaluation of Candidates Based on Their CVs
M Tikhonova
Analysis of Images, Social Networks and Texts: 8th International Conference …, 2020
22020
Ad astra or astray: Exploring linguistic knowledge of multilingual BERT through NLI task–CORRIGENDUM
M Tikhonova, V Mikhailov, D Pisarevskaya, V Malykh, T Shavrina
Natural Language Engineering 29 (4), 1198-1198, 2023
12023
Long Input Benchmark for Russian Analysis
I Churin, M Apishev, M Tikhonova, D Shevelev, A Bulatov, Y Kuratov, ...
arXiv preprint arXiv:2408.02439, 2024
2024
Industry vs Academia: Running a Course on Transformers in Two Setups
I Nikishina, M Tikhonova, V Chekalina, A Zaytsev, A Vazhentsev, ...
Proceedings of the Sixth Workshop on Teaching NLP, 7-22, 2024
2024
is the Best Approach for Discovering
V Nikonova¹, M Tikhonova
Analysis of Images, Social Networks and Texts: 11th International Conference …, 2024
2024
MOROCCO: Model Resource Comparison Framework
V Malykh, A Kukushkin, M Tikhonova, T Shavrina
International Conference on Data Analytics and Management in Data Intensive …, 2023
2023
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