Viktoria Chekalina

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 12

Top Topics

Decomposition Methods

Information Retrieval

Majority Voting

Top Venues

CLEF (Working Notes)

EACL (System Demonstrations)

Publications

Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR (2023)
Sergey Pletenev, Viktoria Chekalina, Daniil Moskovskiy, Mikhail Seleznev, Sergey Zagoruyko, Alexander Panchenko
A Computational Study of Matrix Decomposition Methods for Compression of Pre-trained Transformers. PACLIC (2023)
Sergey Pletenev, Daniil Moskovskiy, Viktoria Chekalina, Mikhail Seleznyov, Sergey Zagoruyko, Alexander Panchenko
Transformers Compression: A Study of Matrix Decomposition Methods Using Fisher Information. AIST (2023)
Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets
Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC (2023)
Viktoria Chekalina, Alexander Panchenko
Retrieving Comparative Arguments using Ensemble Methods and Neural Information Retrieval. CoRR (2023)
Viktoria Chekalina, Alexander Panchenko
Retrieving Comparative Arguments using Deep Language Models. CLEF (Working Notes) (2022)
Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Alexander Panchenko
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. CoRR (2022)
Viktoria Chekalina, Anton Razzhigaev, Albert Sayapin, Evgeny Frolov, Alexander Panchenko
MEKER: Memory Efficient Knowledge Embedding Representation for Link Prediction and Question Answering. ACL (student) (2022)
Viktoria Chekalina, Alexander Panchenko
Retrieving Comparative Arguments using Ensemble Methods and BERT. CLEF (Working Notes) (2021)
Viktoria Chekalina, Alexander Bondarenko, Chris Biemann, Meriem Beloucif, Varvara Logacheva, Alexander Panchenko
Which is Better for Deep Learning: Python or MATLAB? Answering Comparative Questions in Natural Language. EACL (System Demonstrations) (2021)
Viktoria Chekalina, Alexander Panchenko
Retrieving Comparative Arguments using Deep Pre-trained Language Models and NLU. CLEF (Working Notes) (2020)
Viktoria Chekalina, Elena D. Orlova, Fedor Ratnikov, Dmitry Ulyanov, Andrey Ustyuzhanin, Egor Zakharov
Generative Models for Fast Calorimeter Simulation.LHCb case. CoRR (2018)