Viktoria Chekalina

According to our database, Viktoria Chekalina authored at least 12 papers between 2018 and 2023.

Collaborative distances:

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

2023

Efficient GPT Model Pre-training using Tensor Train Matrix Representation.

Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko

CoRR, 2023

Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval.

Viktoria Chekalina, Alexander Panchenko

CoRR, 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

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Efficient GPT Model Pre-training using Tensor Train Matrix Representation.

Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information.

Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko

Proceedings of the Analysis of Images, Social Networks and Texts, 2023

2022

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.

Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko

CoRR, 2022

Retrieving Comparative Arguments using Deep Language Models.

Viktoria Chekalina, Alexander Panchenko

Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering.

Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2022

2021

Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language.

Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

Retrieving Comparative Arguments using Ensemble Methods and BERT.

Viktoria Chekalina, Alexander Panchenko

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU.

Viktoria Chekalina, Alexander Panchenko

Proceedings of the Working Notes of CLEF 2020, 2020

2018

Generative Models for Fast Calorimeter Simulation.LHCb case.

Viktoria Chekalina, Elena Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov

CoRR, 2018